We hear a lot today about the importance of “disruptive innovation,” “deep technologies,”  “moonshots,” and even “technological miracles.” What do these terms mean and how are they related? Are they just silly clichés used to hype techno-exuberant books, articles, and speeches? Or do these terms have real meaning and importance?

This article explores those questions and argues that, while these terms are confronted with definitional challenges and occasional overuse, they retain real importance to human flourishing, economic growth, and societal progress.

Basic Concepts

Don Boudreaux defines moonshots as, “radical but feasible solutions to important problems” and Mike Cushing has referred to them as “innovation that achieves the previously unthinkable.” “Deep technology” is another buzzword being used to describe such revolutionary and important innovations. Swati Chaturvedi of investment firm Propel[x] says deep technologies are innovations that are “built on tangible scientific discoveries or engineering innovations” and “are trying to solve big issues that really affect the world around them.”

“Disruptive technology” or “game-changing innovations” are other terms that are often used in reference to technologies and inventions with major societal impacts. “Transformative technologies” is another increasingly popular term, albeit one focused mostly on health and wellness-related innovations.

However one defines them and whatever one calls them, it is clear, as a 2015 report from the World Economic Forum (WEF) argued, that, “the list of potentially disruptive technologies keeps getting longer.” “Inventions previously seen only in science fiction,” the WEF report said, “will enable us to connect and invent in ways we never have before.”

More concretely, when people use these terms in reference to existing technologies, or ones currently on the drawing board, they often mention innovations like:

• Artificial intelligence / machine learning / robotics
• 3D printing / additive manufacturing
• Self-repairing / self-building objects
• Driverless cars / flying cars (VTOL), supersonic transport
• Private space travel / lunar mining
• Clean power / alternative energy production
• Genetic editing & life extension technologies
• Implantable tech / human augmentation
• Hyper-connected devices / wearable fitness / sensor tech / IoT
• Precision medicine
• Neural networks
• Quantum computing
• Nanotechnology / synthetic biology
• Immersive technology (AT & VR)

This is just a partial list of the type of technologies that experts mention when discussing “moonshots,” deep tech,” and other “disruptive” or “transformative innovations.” What unifies them more than anything else is the potential for major improvements in human well-being. Significant advancements in these areas could lead to substantial jumps in human welfare, health, and longevity.

Definitional Limitations

These terms have some problems and limitations, however. For example,“moonshots” conjures up thoughts of large, expensive government programs that are centrally-directed in a top-down fashion. Writing in The New Atlantis last year, Mark P. Mills argued that the notion of “ technological miracles ” can be taken to unrealistic extremes and he specifically cautioned against getting caught up in “moonshot fallacies” as well as “Moore’s Law fallacy.”

The “moonshot fallacy” is commonly heard in policy discussions whenever a policymaker or pundit insists that, “If we can put a man on the moon, then we can…” fill in the blank with your prefered aspirational goal du jour . But as Mills points out, this sort of talk often represents highly unrealistic, wishful thinking. “It is true that engineers have achieved amazing feats when tasked with particular, practical goals. But not all goals are equally achievable,” he correctly argues.  

“Moore’s Law fallacy” refers to the fact that innovation in the physical world of atoms is usually much harder and more costly than innovation in the digital world of bits. “If energy technology had followed a Moore’s Law trajectory, today’s car engine would have shrunk to the size of an ant while producing a thousandfold more horsepower,” Mills observes. The time horizons for big change are almost always going to be significantly longer in the physical world even with the increasing digitization in society and “ software eating the world .”

“Disruptive technology” is also a problematic term because its common use is quite different from Clayton M. Christensen’s original explanation of the term in his widely-cited Harvard Business Review articles from 1995 and then 2015 . “The original notion of disruption aimed to describe why great firms can fail,” Josh Gans explained in his recent book, The Disruption Dilemma . “Today, use of the term has gotten out of control,” he says. “As a concept, disruption has become so persuasive this it is at risk of becoming useless.”

Gans makes a good point. Not everything can be disruptive. Moreover, some techno-evangelists get carried away with such rhetoric regarding the “disruptive,” “transformative,” and “miracle”-working” potential of various technologies.  

But Sometimes Dreams Come True

Despite these definitional controversies or rhetorical excesses from some overly-exuberant tech boosters, these terms retain real meaning and significance.  

It is easy to ridicule dreamers, but quite a bit of life-changing innovation begins as a dream of some sort. Without a doubt, a great many “moonshots” will never get off the ground, and many “deep” technologies will end up sinking into the ocean of irrelevant or failed technologies. But that’s OK! It is in the process of risk-taking, experimentation, and failure that wisdom is generated and meaningful improvements in social and economic well-being come about.

It’s easy to talk about “trial-and-error” without thinking much about the “error” part of the process. It is only through constant experimentation and failure that we learn how to do things more efficiently and create or improve goods and services.

Perhaps the most straightforward definition of “technology” is Ian Barbour’s: “the application of organized knowledge to practical tasks by ordered systems of people and machines.” But organized knowledge requires lots of trials and lots of errors–by both people and machines–in order to find workable solutions to the tasks we hope to accomplish.

To the extent that we would like to see more technological improvements, we need more “dreamers” who hope to change the world. Entrepreneurs are the key to this process because, by their very nature, they refuse to settle for the status quo. They dream of a world that can work differently; one in which they can improve their own lot and (whether intentionally or not) improve the lot of humanity simultaneously. “What entrepreneurs do,” venture capitalist Vinod Khosla argues , “is they imagine what feels impossible to most people, and take it all the way from impossible, to improbable, to possible but unlikely, to plausible, to probable, to real!”  

That is why entrepreneurialism is so important , and it is also why shouldn’t roll our eyes when people dream about “moonshots” and the ways in which “deep technology” might “disrupt” and “transform” society for the better.  

While we should always keep both feet firmly rooted on the ground, there is nothing wrong with looking skyward and dreaming of a better future. Indeed, as a society, we should seek to foster a culture of innovation that rewards entrepreneurial dreaming and daring, because in seeking to make the world a better place, progress and prosperity become reality.  

Additional Reading

Donald J. Boudreaux, “What’s Your Moonshot?” Mercatus Center at George Mason University, Mercatus Original Video , November 16, 2017, https://www.mercatus.org/videos/whats-your-moonshot .

Joseph L. Bower & Clayton M. Christensen, “Disruptive Technologies: Catching the Wave,” Harvard Business Review , January-February 1995,   https://hbr.org/1995/01/disruptive-technologies-catching-the-wave .

Clayton M. Christensen, Michael E. Raynor & Rory McDonald, “What Is Disruptive Innovation?”  Harvard Business Review,December 2015, https://hbr.org/2015/12/what-is-disruptive-innovation.

Tyler Cowen, “Is Innovation Over? The Case against Pessimism,” Foreign Affairs , March/April 2016, https://www.foreignaffairs.com/reviews/review-essay/2016-02-15/innovation-over .

Swati Chaturvedi, “So What Exactly is ‘Deep Technology’?” LinkedIn , July 28, 2015, https://www.linkedin.com/pulse/so-what-exactly-deep-technology-swati-chaturvedi .

Mike Cushing, “Moonshot Projects – Innovation or Wishful Thinking?” Enterprise Innovation , http://www.enterpriseinnovation.com/articles/moonshot-projects-innovation-or-wishful-thinking .

Vinod Khosla, “We Need Large Innovations,” Medium , January 1, 2018, https://medium.com/@vkhosla/we-need-large-innovations-58e3eaaf8138 .

Josh Gans, The Disruption Dilemma (MIT Press, 2016), https://mitpress.mit.edu/books/disruption-dilemma .

Mark P. Mills, “Making Technological Miracles,” The New Atlantis , (Spring 2017): 37-55, http://www.thenewatlantis.com/publications/making-technological-miracles .

Albert H. Segars, “Seven Technologies Remaking the World,” MIT Sloan Management Review, March 9, 2018, https://sloanreview.mit.edu/projects/seven-technologies-remaking-the-world .  

Adam Thierer, Permissionless Innovation: The Continuing Case for Comprehensive Technological Freedom , (Mercatus Center at George Mason University, 2016),   https://www.mercatus.org/publication/permissionless-innovation-continuing-case-comprehensive-technological-freedom

Adam Thierer and Trace Mitchell, “The Many Forms of Entrepreneurialism,” The Bridge , August 30, 2018, https://www.mercatus.org/bridge/commentary/many-forms-entrepreneurialism  

Adam Thierer, “Making the World Safe for More Moonshots,” The Bridge , February 5, 2018, https://www.mercatus.org/bridge/commentary/making-world-safe-more-moonshots

World Economic Forum , Deep Shift: Technology Tipping Points and Societal Impact (Geneva, Switzerland: September 2015), 3, http://www3.weforum.org/docs/WEF_GAC15_Technological_Tipping_Points_report_2015.pdf .

The future of emerging technology policy will be influenced increasingly by the interplay of three interrelated trends: “innovation arbitrage,” “technological civil disobedience,” and “spontaneous private deregulation.” Those terms can be briefly defined as follows:

• “Innovation arbitrage” refers to the idea that innovators can, and will with increasingly regularity, move to those jurisdictions that provide a legal and regulatory environment more hospitable to entrepreneurial activity. Just as capital now fluidly moves around the globe seeking out more friendly regulatory treatment, the same is increasingly true for innovations. And this will also play out domestically as innovators seek to play state and local governments off each other in search of some sort of competitive advantage.
• “Technological civil disobedience” represents the refusal of innovators (individuals, groups, or even corporations) or consumers to obey technology-specific laws or regulations because they find them offensive, confusing, time-consuming, expensive, or perhaps just annoying and irrelevant. New technological devices and platforms are making it easier than ever for the public to openly defy (or perhaps just ignore) rules that limit their freedom to create or use modern technologies.
• “Spontaneous private deregulation” can be thought of as de facto rather than the de jure elimination of traditional laws and regulations owing to a combination of rapid technological change as well the potential threat of innovation arbitrage and technological civil disobedience. In other words, many laws and regulations aren’t being formally removed from the books, but they are being made largely irrelevant by some combination of those factors. “Benign or otherwise, spontaneous deregulation is happening increasingly rapidly and in ever more industries,” noted Benjamin Edelman and Damien Geradin in a Harvard Business Review article on the phenomenon.[1]

I have previously documented examples of these trends in action for technology sectors as varied as drones, driverless cars, genetic testing, Bitcoin, and the sharing economy. (For example, on the theme of global innovation arbitrage, see all these various essays. And on the growth of technological civil disobedience, see, “DOT’s Driverless Cars Guidance: Will ‘Agency Threats’ Rule the Future?” and “Quick Thoughts on FAA’s Proposed Drone Registration System.” I also discuss some of these issues in the second edition of my Permissionless Innovation book.)

In this essay, I want to briefly highlight how, over the course of just the past month, a single company has offered us a powerful example of how both global innovation arbitrage and technological civil disobedience— or at least the threat thereof—might become a more prevalent feature of discussions about the governance of emerging technologies. And, in the process, that could lead to at least the partial spontaneous deregulation of certain sectors or technologies. Finally, I will discuss how this might affect technological governance more generally and accelerate the movement toward so-called “soft law” governance mechanisms as an alternative to traditional regulatory approaches.

Comma.ai Case Study, Part 1: The Innovation Arbitrage Threat

The company I want to highlight is Comma.ai, a start-up that had hoped to sell a $999 after-market kit for vehicles called the “Comma One,” which “would give average, everyday cars autonomous functionality.”[2] Created by famed hacker George Hotz, who as a teenager gained notoriety for being the first person to unlock an iPhone in 2007, the Comma One represents an attempt to create autonomous vehicle tech “on the cheap” by using off-the-shelf cameras and GPS technology combined with a healthy dose of artificial intelligence technology.

But regulators at the National Highway Traffic Safety Administration (NHTSA), the federal agency responsible for road safety and automobile regulation, were none too happy to hear about Hotz’s plan to unleash his technology into the wild without first getting their blessing. On October 27, the agency fired off a nastygram to Hotz saying: “We are concerned that your product would put the safety of your customers and other road users at risk. We strongly encourage you to delay selling or deploying your product on the public roadways unless and until you can ensure it is safe.”

Hotz responded on Twitter promptly and angrily. After posting the full NHTSA letter, he said, “First time I hear from them and they open with threats. No attempt at a dialog.” In a follow-up tweet, he said, “Would much rather spend my life building amazing tech than dealing with regulators and lawyers. It isn’t worth it.” And then he announced that, “The comma one is cancelled. comma.ai will be exploring other products and markets. Hello from Shenzhen, China.” A flood of news articles followed about Hotz’s threat to engage in this sort of global innovation arbitrage by bolting US shores.[3]

Incidentally, what Hotz and Comma.ai were proposing to do with Comma One—i.e., deploy autonomous vehicle tech into the wild without prior regulatory approval—was recently done by Otto, a developer of autonomous trucking technology. As Mark Harris reported on Backchannel:

When Otto performed its test drive — the one shown in the May video — it did so despite a clear warning from Nevada’s Department of Motor Vehicles (DMV) that it would be violating the state’s autonomous vehicle regulations. When the DMV realized that Otto had gone ahead anyway, one official called the drive “illegal” and even threatened to shut down the agency’s autonomous vehicle program.”[4]

While Nevada regulators were busy firing off angry letters, Otto was busy doing even more testing in others states (like Ohio), which are eager to make their jurisdictions a testbed for autonomous vehicle innovation.[5] In fact, just recently, Ohio Gov. John Kasich announced the creation of the “Smart Mobility Corridor,” which, according to the Dayton Daily News, will be “a 35-mile stretch of U.S. 33 in central Ohio that runs through Logan County. Officials say that section of U.S. 33 will become a corridor where technologies can be safely tested in real-life traffic, aided by a fiber-optic cable network and sensor systems slated for installation next year.”[6]

This is an example of innovation arbitrage will increasingly take root here domestically as well as abroad, and some states (or countries) will use inducements in an effort to lure innovators to their jurisdictions.

Anyway, let’s get back to the Comma One case study. I don’t want to get too sidetracked regarding the merits of the concerns raised by NHTSA in its letter to Hotz and the implications of the agency’s threats for innovation in this space. But EFF board member Brad Templeton did a nice job addressing that issue in an essay about NHTSA’s letter that threatened Comma. As Templeton observed:

I will presume the regulators will say, “We only want to scare away dangerous innovation” but the hard truth is that is a very difficult thing to judge. All innovation in this space is going to be a bit dangerous. It’s all there trying to take the car — the 2nd most dangerous legal consumer product — and make it safer, but it starts from a place of danger. We are not going to get to safety without taking risks along the way.[7]

This gets to the very real trade-offs in play in the debate over driverless car technology and its regulation. In fact, my Mercatus Center colleague Caleb Watney and I recently filed comments [8] with NHTSA addressing the agency’s recently proposed “Federal Automated Vehicles Policy.”[9] We stressed the potentially deleterious implications of prior regulatory restraints on autonomous vehicle innovation by stressing the horrific real-world baseline we live with today, in which over 35,000 people dying on US roadways in 2015 (roughly 96 people per day) and 94 percent of all those crashes being attributable to human error.

Caleb and I noted that, by imposing new preemptive constraints on the coding of superior autonomous driving technology, “NHTSA’s proposed policy for automated vehicles may inadvertently increase the number of total automobile fatalities by delaying the rapid development and diffusion of this life-saving technology.” Needless to say, if that comes to pass, it would be a disaster because “automation on the roads could be the great public-health achievement of the 21st century.”[10]

In our filing, Caleb and I estimated that, “If NHTSA’s proposed premarket approval process slows the deployment of HAVs by 5 percent, we project an additional 15,500 fatalities over the course of the next 31 years. At 10 percent regulatory delay, we project an additional 34,600 fatalities over 33 years. And at 25 percent regulatory delay, we project an additional 112,400 fatalities over 40 years.[11]

So, needless to say, this is a very big deal.

But let’s ignore all those potential foregone benefits for the moment and just stick with the question of whether Hotz’s threat to engage in a bit of global innovation arbitrage (by moving to China or somewhere else) could work, or at least affect policy in some fashion. I think it absolutely could be an effective threat both because (a) policymakers really do want to do everything they can to achieve greater road safety, and (b) the auto sector remains a hugely important industry for the United States, and one that policymakers will want to do everything in their power to retain on our shores.

Moreover, as Templeton observes that “Comma is not the only company trying to build a system with pure neural networks doing the actual steering decisions.” Even if NHTSA succeeds in bringing Comma to heel, there will be others who will follow in its footsteps. It might be a firm like Otto, but there are many other players in this space today, including big dogs like Tesla and Google. If ever there was a truly global technology industry, it the automotive sector. Autonomous vehicle innovation could take root and blossom in almost any country in the world, and many countries will be waiting with open arms if America screws up its regulatory process.

As Templeton concludes:

The USA and California led the way in robocars in part because it was unregulated. In the USA, everything is permitted unless it was explicitly forbidden and nobody thought to write “no robots” in the laws. Progress in other countries where everything is forbidden unless it is permitted was much slower. The USA is moving in the wrong direction.[12]

Comma.ai Case Study, Part 2: The Technological Civil Disobedience Threat

But an interesting thing happened on the way to Comma’s threatened exodus. On November 30, the firm announced that it would now be open sourcing the code for its autonomous vehicle technology. Reporters at The Verge noted that, during a press conference:

Hotz said that Comma.ai decided to go open source in an effort to sidestep NHTSA as well as the California DMV, the latter of which he said showed up to his house on three separate occasions. “NHTSA only regulates physical products that are sold,” Hotz said. “They do not regulate open source software, which is a whole lot more like speech.” He went on to say that “if the US government doesn’t like this [project], I’m sure there are plenty of countries that will.”[13]

So here we see Hotz combining the threat of still potentially taking the project offshore (i.e., global innovation arbitrage) with the suggestion that by open-sourcing the code for Comma One he might be able to get around the law altogether. We might consider that an indirect form of technological civil disobedience.

Incidentally, Hotz may not be aware of the fact that NHTSA is in the process of making a power-play to become a driverless car code cop. While Hotz is technically correct that, under current law, NHTSA officials “do not regulate open source software, which is a whole lot more like speech,” NHTSA’s recent Federal Automated Vehicles Policy claimed that the agency “has authority to regulate the safety of software changes provided by manufacturers after a vehicle’s first sale to a consumer” while also suggesting that the agency “may need to develop additional regulatory tools and rules to regulate the certification and compliance verification of such post-sale software updates.”^[14]

Needless to say, this proposal has important ramifications for not only Comma, but all other firms in this sector. Consider the implications for Tesla’s “autopilot” mode, which is really little more than a string of constantly-evolving code it pushes out to offer greater and greater autonomous driving functionality.  How would that iterative process work if every time Tesla wanted to make a little tweak to its code it had to run to Washington and file paperwork with NHTSA petitioning for permission to experiment and improve their systems? And then think about all the smaller innovators out there who want to be the next Elon Musk or George Hotz but do not yet have the resources or political connections in Washington to even go through this complex and costly process.

In any event, I have no idea if Hotz or Comma.ai will follow through with any of these threats or be successful in doing so. It may be the case that he is just blowing off smoke and that he and his firm will end up staying in the U.S. and perhaps even later reversing course on the decision to open source the Comma code. But to the extent that innovators like Hotz even hint that they might split the country or open source their code to avoid burdensome regulatory regimes, it can have an influence on future policy decisions. Or at least it should.

New Tech Realities & Their Policy Implications

Indeed, the increasing prevalence of global innovation arbitrage and technological civil disobedience raise some interesting issues for the governance of emerging technologies going forward. The traditional regulatory stance toward many existing sectors and technologies will be challenged by these realities. That’s because most of those traditional regulatory systems are highly precautionary, preemptive, and prophylactic in character. They generally opt for policy solutions that are top-down, overly rigid, and bureaucratic.

Of course, in the past, many innovators (especially smaller scale entrepreneurs) really couldn’t do much to avoid similar regulatory systems where they existed. You either fell into line, or else! It wasn’t always clear what “or else!” would entail, but it could range from being denied a permit/license to operate, waiting months or years for rules to emerge, dealing with fines or other penalties, or some combination of all those things. Or perhaps you would just give up on your innovative idea altogether and exit the market.

But the world has changed in some important ways in recent years. Many of the underlying drivers of the digital revolution—massive increases in processing power, exploding storage capacity, steady miniaturization of computing, ubiquitous communications and networking capabilities, the digitization of all data, and more—are beginning to have a profound impact beyond the confines of cyberspace.^[15] As venture capitalist Marc Andreessen explained in a widely read 2011 essay about how “software is eating the world”:

More and more major businesses and industries are being run on software and delivered as online services—from movies to agriculture to national defense. Many of the winners are Silicon Valley-style entrepreneurial technology companies that are invading and overturning established industry structures. Over the next 10 years, I expect many more industries to be disrupted by software, with new world-beating Silicon Valley companies doing the disruption in more cases than not. Why is this happening now? Six decades into the computer revolution, four decades since the invention of the microprocessor, and two decades into the rise of the modern Internet, all of the technology required to transform industries through software finally works and can be widely delivered at global scale.^[16]

We can add to this list of a new realities the more general problem of technology accelerating at an unprecedented pace. This is what philosophers of technology call the “pacing problem.”  In his new book,  A Dangerous Master: How to Keep Technology from Slipping beyond Our Control, Wendell Wallach concisely defined the pacing problem as “the gap between the introduction of a new technology and the establishment of laws, regulations, and oversight mechanisms for shaping its safe development.” “There has always been a pacing problem,” Wallach correctly observed, but like other philosophers, he believes that modern technological innovation is accelerating much faster than it was in the past.[17]

What are the ramifications of all this for policy? As technology lawyer and consultant Larry Downes has noted, lawmaking in the information age is now inexorably governed by the “law of disruption” or the fact that “technology changes exponentially, but social, economic, and legal systems change incrementally.”[18] This law is “a simple but unavoidable principle of modern life,” he said, and it will have profound implications for the way businesses, government, and culture evolve. “As the gap between the old world and the new gets wider,” he argues, “conflicts between social, economic, political, and legal systems” will intensify and “nothing can stop the chaos that will follow.”[19]

The end result of the “law or disruption” and a world relentlessly governed by the ever-accelerating “pacing problem” is that it will be harder than ever to effectively control emerging technologies using traditional legal and regulatory systems and mechanisms. And this makes it even more likely that the related threats of global innovation arbitrage and various forms of technological civil disobedience will become more regular fixtures in debates about many emerging technologies.

New Governance Models

How one reacts to these new realities will depend upon their philosophical disposition toward innovative activities more generally.

Consider first those adhering to a more “precautionary principle” mindset, which I have defined in my recent book as those who believe “that new innovations should be curtailed or disallowed until their developers can prove that they will not cause any harm to individuals, groups, specific entities, cultural norms, or various existing laws, norms, or traditions.”[20]

Needless to say, the precautionary principle crowd with be dismayed by these new trends and perhaps even decry them as “lawlessness.” Some of these folks seem to be in denial about these new realities and pretend that nothing much has changed. Yet, I have found that most precautionary principle-oriented advocates, and even many regulatory agencies themselves, tend to acknowledge these new realities. But they remain very uncertain about how best to respond to them, often just suggesting that we’ll all need to just try harder to impose new and better regulations on a more expedited or streamlined basis.

Of course, those of us who generally embrace the alternative policy vision for technological governance—“permissionless innovation”—are going to be more accepting of the new technological realities I have described, and we will perhaps even work to defend and encourage them. But while I count myself among this crowd, we cannot ignore the fact that many serious challenges will arise when innovation outpaces law or can easily evade it.

There is some middle ground here, although it is very messy middle ground.

The era of technocratic, top-down, one-size-fits-all regulatory regimes is fading, or at least being severely strained. We will instead need to craft flexible and adaptive policies going forward that are bottom-up, flexible, and evolutionary in character.

What that means in practice is that a lot more “soft law” and informal governance mechanisms will become the new norm. I wrote about this new policy environment in my recent essay, “DOT’s Driverless Cars Guidance: Will ‘Agency Threats’ Rule the Future?” as well as this lengthy review of Wendell Wallach’s latest book about technology ethics.  Along with Gary Marchant of the Arizona State University law school, Wallach recently published an excellent book chapter on “Governing the Governance of Emerging Technologies,” which discussed these soft law mechanisms, which include: “codes of conduct, statements of principles, partnership programs, voluntary programs and standards, certifications programs and private industry initiatives.”[21]

Their chapter appears in an important collection of essays that Gary Marchant edited with Kenneth W. Abbott and Braden Allenby entitled, Innovative Governance Models for Emerging Technologies.

What is interesting about the chapters in that book is that seemingly widespread consensus now exists among experts in this field that some combination of these soft law mechanisms are likely to become the primary mode of technological governance for the indefinite future.  This is because, as Marc A. Saner points out in a different chapter of that book, “the control paradigm is too limited to address all the issues that arise in the context of emerging technologies.”[22] By the control paradigm, he generally means traditional administrative regulatory agencies and processes. He and other contributors in the book all seem to agree that the control problem paradigm “has its limits when diffusion, pacing and ethical issues associated with emerging technologies become significant, as is often the case.”[23]

And so the traditional command-and-control ways will gradually give way to a new paradigm for emerging technology governance. In fact, as I noted in my recent essay on driverless cars, we see this happening quite a bit already. “Multistakeholder processes” are already all the rage in the world of emerging technologies and their governance. In recent years, we have seen the White House and various agencies (such as the FTC, NTIA, FDA, and others) craft multistakeholder agreements or best practice guidance documents for technologies as far ranging as:

• Drones & privacy
• Sharing economy
• Internet of Things
• Driverless cars
• Big data
• Artificial intelligence
• Cross-device tracking
• Native advertising
• Online data collection
• Mobile app transparency and security
• Mobile apps for kids
• Mobile medical apps
• Online health advertising
• 3D printing
• Facial recognition

And that list is not comprehensive. I know I am missing other multistakeholder efforts, best practices, or industry guidance documents that have been crafted in recent years.

Of course, many challenging issues need to be sorted out here, most notably: how transparent and accountable will these soft law systems be in practice? How will they be enforced? And what will happen to all those existing laws, regs, and agencies that will continue to exist? More generally, it is worth asking whether we can more closely study these various multistakeholder arrangements and soft law governance mechanisms and determine if there are certain principles or strategies that could be applicable across a wide class of technologies and sectors. In other words, can we a do a better job of “formalizing the informal,” without falling right back into the trap of trying to impose rules in a rigid, top-down, one-size-fits-all fashion?

Conclusion

Those are just a few of the hard questions we will need to consider going forward. For now, however, I think it is safe to conclude that we will no longer see much “law” being made for emerging technologies, at least not in the traditional sense of the term. Thanks to the new technological realities I have described here—and the relentless reality of the “pacing problem” more generally—I believe we are witnessing a wide-ranging and quite profound transformation in how technology is governed in our modern world. And I believe this movement away from traditional “hard law” and toward “soft law” governance mechanisms is likely to accelerate due to the increasing prevalence of innovation arbitrage, technological civil disobedience, and spontaneous private deregulation.

The ramifications of this transformation will be studied by philosophers, legal theorists, and political scientists for many decades to come. But we are still in the early years of this momentous transformation in technological governance and we will continue to struggle to figure out how to make it all work, as messy as it all may be.

[ Note: This essay is condensed from a manuscript I have been working on about The Rise of Technological Civil Disobedience. I’m not sure I will ever get around to finishing it, however, so I thought I would at least post this piece for now. In a subsequent essay, which is also part of that draft manuscript, I hope to discuss how this process might play out for technologies that are “born free” versus those that are “born in captivity.” That is, how likely is it that the trends I discuss here will take hold for technologies that have no pre-existing laws or agencies, while other technologies that are born into a regulatory environment are potentially doomed to be pigeonholed into those old regulatory regimes? What are the chances that the latter technologies can escape captivity and gain the freedom the other technologies already enjoy? How might technology-enabled “spontaneous private deregulation” be accelerated for those sectors? Is that always desirable? Again, I will leave these questions for another day. Scholars and students who are interested in these topics can feel free to contact me if they are interested in discussing them as well as potential paper ideas. Regardless of how you feel about these trends, these issues are ripe for intellectual exploration.]

[1]     Benjamin Edelman and Damien Geradin, “Spontaneous Deregulation,” Harvard Business Review, April 2016, https://hbr.org/2016/04/spontaneous-deregulation.

[2]     Megan Geuss, “After mothballing Comma One, George Hotz releases free autonomous car software,” Ars Technica, November 30, 2016, http://arstechnica.com/cars/2016/11/after-mothballing-comma-one-george-hotz-releases-free-autonomous-car-software.

[3]     See: “NHTSA Scared This Self-Driving Entrepreneur Off the Road,” Bloomberg Technology, October 28, 2016, https://www.bloomberg.com/news/articles/2016-10-28/nhtsa-scared-this-self-driving-entrepreneur-off-the-road; Sean O’Kane, “George Hotz cancels his self-driving car project after NHTSA expresses concern,” The Verge, October 28, 2016, http://www.theverge.com/2016/10/28/13453344/comma-ai-self-driving-car-comma-one-kit-canceled; Brad Templeton, “Comma.ai cancels comma-one add-on box after threats from NHTSA,” Robohub, October 31, 2016, http://robohub.org/comma-ai-cancels-comma-one-add-on-box-after-threats-from-nhtsa.

[4]     Mark Harris, “How Otto Defied Nevada and Scored a $680 Million Payout from Uber,” Backchannel, November 28, 2016,  https://backchannel.com/how-otto-defied-nevada-and-scored-a-680-million-payout-from-uber-496aa07f5ba2#.9rmtb29bl

[5]     Larry E. Hall, “Otto Self-Driving Truck Tests in Ohio; Violated Nevada Regulations,” Hybrid Cars, November 29, 2016, http://www.hybridcars.com/otto-self-driving-truck-tests-in-ohio-violated-nevada-regulations.

[6]     Kara Driscoll, “Ohio to create ‘smart’ road for driverless trucks,” Dayton Daily News, November 30, 2016, http://www.daytondailynews.com/business/ohio-create-smart-road-for-driverless-trucks/25qC7uYjz9rE96q6YFVUUK.

[7]     Brad Templeton, “Comma.ai cancels comma-one add-on box after threats from NHTSA,” Robohub, October 31, 2016, http://robohub.org/comma-ai-cancels-comma-one-add-on-box-after-threats-from-nhtsa/

[8]     Adam Thierer and Caleb Watney, “Comment on the Federal Automated Vehicles Policy,” November 22, 2016, https://www.researchgate.net/publication/311065194_Comment_on_the_Federal_Automated_Vehicles_Policy.

[9]     National Highway Traffic Safety Administration (NHTSA), Federal Automated Vehicles Policy, September 2016.

[10]   Adrienne LaFrance, “Self-Driving Cars Could Save 300,000 Lives per Decade in America,” Atlantic, September 29, 2015

[11]   Adam Thierer and Caleb Watney, “Comment on the Federal Automated Vehicles Policy,” November 22, 2016, https://www.researchgate.net/publication/311065194_Comment_on_the_Federal_Automated_Vehicles_Policy.

[12]   Templeton.

[13]   Sean O’Kane and Lauren Goode, “George Hotz is giving away the code behind his self-driving car project,” The Verge, November 30, 2016, http://www.theverge.com/2016/11/30/13779336/comma-ai-autopilot-canceled-autonomous-car-software-free.

^[14]   NHTSA, Federal Automated Vehicles Policy, 76.

[15]   Adam Thierer, Jerry Brito, and Eli Dourado, “Technology Policy: A Look Ahead,” Technology Liberation Front, May 12, 2014, http://techliberation.com/2014/05/12/technology-policy-a-look-ahead.

[16]   Marc Andreessen, “Why Software Is Eating the World,” Wall Street Journal, August 20, 2011, http://www.wsj.com/articles/SB10001424053111903480904576512250915629460.

[17]   Wendell Wallach, A Dangerous Master: How to Keep Technology from Slipping beyond Our Control (New York: Basic Books, 2015), 60.

[18]   Larry Downes, The Laws of Disruption: Harnessing the New Forces That Govern Life and Business in the Digital Age 2 (2009).

[19]   Id.

[20]   Thierer, Permissionless Innovation, at 1.

[21]   Gary E. Marchant and Wendell Wallach, “Governing the Governance of Emerging Technologies,” in Gary E. Marchant, Kenneth W. Abbott & Braden Allenby (eds.), Innovative Governance Models for Emerging Technologies (Cheltenham, UK: Edward Elgar, 2013), 136.

[22]   Marc A. Saner,  “The Role of Adaptation in the Governance of Emerging Technologies,” in Gary E. Marchant, Kenneth W. Abbott & Braden Allenby (eds.), Innovative Governance Models for Emerging Technologies (Cheltenham, UK: Edward Elgar, 2013), 106.

[23]   Ibid., at 94.

“The quickest way to find out who your enemies are is to try doing something new.” Thus begins Innovation and Its Enemies, an ambitious new book by Calestous Juma that will go down as one of the decade’s most important works on innovation policy.

Juma, who is affiliated with the Harvard Kennedy School’s Belfer Center for Science and International Affairs, has written a book that is rich in history and insights about the social and economic forces and factors that have, again and again, lead various groups and individuals to oppose technological change. Juma’s extensive research documents how “technological controversies often arise from tensions between the need to innovate and the pressure to maintain continuity, social order, and stability” (p. 5) and how this tension is “one of today’s biggest policy challenges.” (p. 8)

What Juma does better than any other technology policy scholar to date is that he identifies how these tensions develop out of deep-seated psychological biases that eventually come to affect attitudes about innovations among individuals, groups, corporations, and governments. “Public perceptions about the benefits and risks of new technologies cannot be fully understood without paying attention to intuitive aspects of human psychology,” he correctly observes. (p. 24)

Opposition to Change: It’s All in Your Head

Juma documents, for example, how “status quo bias,” loss aversion, and other psychological tendencies tend to encourage resistance to technological change. [Note: I discussed these and other “root-cause” explanations of opposition to technological change in Chapter 2 of my book, Permissionless Innovation: The Continuing Case for Comprehensive Technological Freedom, as well as in my 2012 law review article on “Technopanics, Threat Inflation, and the Danger of an Information Technology Precautionary Principle.”]  Juma notes, for example, that “society is most likely to oppose a new technology if it perceives that the risks are likely to occur in the short run and the benefits will only accrue in the long run.” (p. 5) Moreover, “much of the concern is driven by perception of loss, not necessarily by concrete evidence of loss.” (p. 11)

Juma’s approach to innovation policy studies is strongly influenced by the path-breaking work of Austrian economist Joseph Schumpeter, who long ago documented how entrepreneurial activity and the “perennial gales of creative destruction” were the prime forces that spurred innovation and propelled society forward. But Schumpeter was also one of the first scholars to realize that psychological fears about such turbulent change was what ultimately lead to much of the short-term opposition to new technologies that, in due time, we eventually come to see as life-enriching or even life-essential innovations.  Juma uses Schumpeter’s insight as the launching point for his exploration and he successfully verifies it using meticulously-detailed case studies.

Case Study-Driven Analysis

My favorite case study in the book discusses how the dairy industry fought the creation and spread of margarine (excuse the pun!). I had no idea how ugly that situation got, but Juma provides all the gory details in what I consider one of the very best crony capitalist case studies ever penned.

In particular, in a subsection of that chapter entitled “The Laws against Margarine,” he provides a litany of examples of how effective the dairy industry was in convincing lawmakers to enact ridiculous anti-consumer regulations to stop margarine, even though the product offered the public a much-needed, and much more affordable, substitute for traditional butter. At one point, the daily industry successfully lobbied five states to adopt rules mandating that any imitation butter product had to be dyed pink! Other states enacted labelling laws that required butter substitutes to come in ominous-looking black packaging. Again, all this was done at the request of the incumbent dairy industry and the National Dairy Council, which would resort to almost any sort of deceptive tactic to keep a cheaper competing product out of the hands of consumers.

And so it goes in chapter after chapter of Juma’s book. The amount of detail in each of these unique case studies is absolutely stunning, but they nonetheless remain highly readable accounts of sectoral protectionism, special interest rent-seeking, and regulatory capture. In this way, Juma is plowing some familiar ground already covered by other economic historians and political scientists, such as Joel Mokyr and Mancur Olson, both of whom are mentioned in the book, as well as a long line of public choice scholars who are, somewhat surprisingly, not discussed in the text. Nonetheless, Juma’s approach is still fresh, unique, and highly informative. In fact, I don’t think I’ve ever seen so many distinct and highly detailed case studies assembled in one place by a single scholar.  What Juma has done here is truly impressive.

Related Innovation Policy Paradigms

Beyond Schumpeter’s clear influence, Juma’s approach to studying innovation policy also shares a great deal in common with two other unmentioned innovation policy scholars, Virginia Postrel and Robert D. Atkinson.

Postrel’s 1998 book, The Future and Its Enemies, contrasted the conflicting worldviews of “dynamism” and “stasis” and showed how the tensions between these two visions would affect the course of human affairs. She made the case for embracing dynamism — “a world of constant creation, discovery, and competition” — over the “regulated, engineered world” of the stasis mentality. Similarly, in his 2004 book, The Past and Future of America’s Economy, Atkinson documented how “American history is rife with resistance to change,” and in recounting some of the heated battles over previous technological revolutions he showed how two camps were always evident: “preservationists” and “modernizers.”

When Juma repeatedly recounts the fight between “innovation and incumbency” in his case studies, he is essentially describing the same paradigmatic divide that Postrel and Atkinson highlight in their works when they discuss “dynamist” vs. “stasis” tensions and the “modernizers” vs. “preservationists” battles that we have seen throughout history. [Note: In my 2014 essay on, “Thinking about Innovation Policy Debates: 4 Related Paradigms,” I discussed Postrel and Atkinson’s books and other approaches to understanding tech policy divisions and then related them to the paradigms I contrast in my work: the so-called “precautionary principle” vs. “permissionless Innovation” mindsets.]

Finally, Juma’s book could also be compared to another freshly released book, The Politics of Innovation, by Mark Zachary Taylor. Taylor’s book is also essential reading on this lamentable history of industrial protectionism and the resulting political opposition to change we have seen over time. [Note: Brent Skorup and provided many other high-tech cronyist case studies like these in our 2013 law review article, “A History of Cronyism and Capture in the Information Technology Sector.”]

To counter the prevalence of special interest influence and poor policymaking more generally, Juma stresses the need for evidence-based analysis and a corresponding rejection of fear-mongering and deceptive tactics by public officials and activist groups. He’s particularly concerned with “the use of demonization and false analogies to amplify the perception of risks associated with a new product.”

Accordingly, he would like to see improved educational and risk communication efforts aimed at better informing the public about risk trade-offs and the many potential future benefits of emerging technologies. “Learning how to communicate to the general public is an important aspect of reducing distrust [in new technologies],” Juma argues. (p. 312)

On the Pacing Problem

But Juma never really adequately squares that recommendation with another point he makes throughout the text about how “the pace of technological innovation is discernibly fast,” (p. 5) and how it is accelerating in an exponential fashion. “The implications of exponential growth will continue to elude political leaders if they persist in operating with linear worldviews.” (p. 14) But if it is indeed the case that things are moving that fast, then are we not potentially doomed to live in never-ending cycles of technopanics and misinformation campaigns about new technologies no matter how much education we try to do?

Regardless, Juma’s argument about the speed of modern technological change is quite valid and shared by many other scholars. He is essentially making the same case that Larry Downes did in his excellent 2009 book, The Laws of Disruption: Harnessing the New Forces That Govern Life and Business in the Digital Age. Downes argued that lawmaking in the information age is inexorably governed by the “law of disruption” or the fact that “technology changes exponentially, but social, economic, and legal systems change incrementally.”  This law, Downes said, is “a simple but unavoidable principle of modern life,” and it will have profound implications for the way businesses, government, and culture evolve going forward.  “As the gap between the old world and the new gets wider,” he argued, “conflicts between social, economic, political, and legal systems” will intensify and “nothing can stop the chaos that will follow.”

Again, Juma makes that same point repeatedly throughout the chapters of his book. This is also a restatement of the so-called “pacing problem,” as it is called in the field of the philosophy of technology. I discussed the pacing problem at length in my recent review of Wendell Wallach’s important new book, A Dangerous Master: How to Keep Technology from Slipping beyond Our Control. Wallach nicely defined the pacing problem as “the gap between the introduction of a new technology and the establishment of laws, regulations, and oversight mechanisms for shaping its safe development.” “There has always been a pacing problem,” he noted but, like Juma, Wallach believes that modern technological innovation is occurring at an unprecedented pace, making it harder than ever to “govern” using traditional legal and regulatory mechanisms.

New Approaches to Technological Governance Needed

Both Wallach in A Dangerous Master and Juma in Innovation and Its Enemies struggle with how to solve this problem. Wallach advocates “soft law” mechanisms or even informal “Governance Coordinating Committees,” which would oversee the development of new technology policies and advise existing governmental institutions. Juma is somewhat ambiguous regarding potential solutions, but he does stress the general need for a flexible approach to policy, as he notes on pg. 252:

It is important to make clear distinctions between hazards and risks. It is necessary to find a legal framework for addressing hazards. But such a framework should not take the form of rigid laws whose adoption needs to be guided by evidence of harm. More flexible standards that allow continuous assessment of emerging safety issues related to a new product are another way to address hazards. This approach would allow for evidence-based regulation.

Beyond that Juma wants to see “entrepreneurialism exercised in the public arena” (p. 282) and calls for “decisive leaders to champion the application of new technologies.” (p. 283) He argues such leadership is needed to ensure that life-enriching technologies are not derailed by opponents of change.

On the other hand, Juma sees a broader role for policymakers in helping to counter some of the potential side effects associated with many emerging technologies. He highlights three primary areas of concern. First, he suggests political leaders might need to find ways “to help balance the benefits and risks of automation” due to the rapid rise of robotics and artificial intelligence. Second, he notes that synthetic biology and gene-editing will give rise to many thorny issues that require policymakers to balance “potentially extraordinary benefits and the risk of catastrophic consequences.” (p. 284)  Finally, he points out that medicine and healthcare are set to be radically transformed by emerging technologies, but they are also threatened by archaic policies and practices in many countries.

In each case, Juma hopes that “decisive,” “adaptive” and “flexible” leaders will steer a sensible policy course with an eye toward limiting “the spread of political unrest and resentment toward technological innovation.” (p. 284)  That’s a noble goal, but Juma remains a bit vague on the steps needed to accomplish that balancing act without tipping public policy in favor a full-blown precautionary principle-based regime for new technologies. Juma clearly wants to avoid that result, but it remains unclear how or where he would draw clear lines in the sand to prevent it from occurring while at the same time achieving “decisive leadership” aimed at balancing potential risks and benefits.

Similarly, his repeated calls in the closing chapter for “inclusive innovation” efforts and strategies sounds sensible in theory, but Juma speaks in abstract generalities about what the term means and doesn’t provide a clear vision for how that would translate into concrete actions that would not end up giving vested interests a veto over new forms of technological innovation that they disfavor.

Nothing Ventured, Nothing Gained

Generally speaking, however, Juma wants this balance struck in favor of greater openness to change and an ongoing freedom to experiment with new technological capabilities. As he notes in his concluding chapter:

The biggest risk that society faces by adopting approaches that suppress innovation is that they amplify the activities of those who want to preserve the status quo by silencing those arguing for a more open future. […] Keeping the future open and experimenting in an inclusive and transparent way is more rewarding that imposing the dictum of old patterns. (pgs. 289, 316)

In that regard, the thing I liked most about Innovation and Its Enemies is the way throughout the text that Juma stressed the symbiotic relationship between risk-taking and progress. One of the ways he does so is by kicking off every chapter with a fun quote on that theme from some notable figure. He includes gems like these:

• “Nothing will ever be attempted if all possible objections must be first overcome.” – Samuel Johnson
• “Only those will risk going too far can possibly find out how far one can go.” – T.S. Eliot
• “If you risk nothing, then you risk everything.” – Geena Davis
• “Test fast, fail fast, adjust fast.” – Tom Peters

Of course, I was bound to enjoy his repeated discussion of this theme because that was the central thesis of my latest book, in which I made the argument that, “if we spend all our time living in constant fear of worst-case scenarios—and premising public policy upon such fears—then many best-case scenarios will never come about.” Or more simply, as the old saying goes: “nothing ventured, nothing gained.”

On Pastoral Myths

I also liked the way that Juma used his case studies to remind us how “the topics may have changed, but the tactics have not.” (p. 143) For example, much of the fear-mongering and deceptive tactics we have seen through the years are based on “pastoral ideals,” i.e., appeals to nature, farm life, old traditions, of just the proverbial “good old days,” whenever those supposedly were! “Demonizing innovation is often associated with campaigns to romanticize past products and practices,” Juma notes. “Opponents of innovation hark back to traditions as if traditions themselves were not inventions at some point in the past.” (p. 309)  So very true!

That was especially the case in battles over new farming methods and technologies, when opponents of change were frequently “championing a moral cause to preserve a way of life,” as Juma discusses in several chapters. (p. 129) New products or methods of production were repeatedly but wrongly characterized as dangerous simply because they were not supposedly “natural” or “traditional” enough in character.

Of course, if all farming and other work was to remain frozen in some past “natural” state, we’d all still be hunters and gathers struggling to find the next meal to put in our bellies. Or, if we were all still on the farms of the “good old days,” then we’d still be stuck using an ox and plow in the name of preserving the “traditional” ways of doing things.

Humanity has made amazing strides—including being able to feed more people more easily and cheaply than ever before—precisely because we broke with those old, “natural” traditions. Alas, many vested interests and even quite a few academics today still employ these same pastoral appeals and myths to oppose new forms of technological change. Juma’s case studies powerfully illustrate why that dynamic continues to be a driving force in innovation policy debates and how it has delayed the diffusion of many important new goods and services throughout history. When the opponents of change rest their case on pastoral myths and nostalgic arguments about the good old days we should remind them that the good old days weren’t really that great after all.

Conclusion

In closing, Innovation and Its Enemies earns my highest recommendation. Even though 2016 is only half done as I write this, Professor Juma’s book is probably already a shoo-in as my choice for best innovation policy book of the year. And I am certain that it will also go down as one of the decade’s most important innovation policy books. Buy the book now and read every word of it. It is well worth your time.

Additional material related to Juma’s book:

• Calestous Juma’s website at the Harvard Kennedy School
• Official book page for Innovation and Its Enemies
• Concise summary of the book from AAAS: “Why important innovations stall; understanding obstacles to change is key to future”
• Steven Overly, “Humans once opposed coffee and refrigeration. Here’s why we often hate new stuff,” Washington Post, July 21, 2016.
• Matt Ridley’s review of the book for The Times of London.

Other Related Books

In addition to the books that I already mentioned throughout this review, readers who find Juma’s book and the issues he discusses in it of interest should also consider reading these other books on innovation policy, technological governance, and regulatory capture.  Although many of them are more squarely focused on the information technology sector or other emerging technology fields, they all relate to the general subject matter and approach found throughout Juma’s book. [NOTE: Links, where provided, are to my reviews of these books.]

• The Inevitable: Understanding the 12 Technological Forces That Will Shape Our Future, by Kevin Kelly (2016)
• Innovative Governance Models for Emerging Technologies, Gary E. Marchant, Kenneth W. Abbott & Braden Allenby (eds.), (2013)
• Consent of the Networked: The Worldwide Struggle for Internet Freedom ,by Rebecca MacKinnon (2012)
• Networks and States: The Global Politics of Internet Governance, by Milton Mueller (2010)
• The Master Switch: The Rise and Fall of Information Empires, by Tim Wu (2010)
• The Rational Optimist: How Prosperity Evolves, by Matt Ridley (2010)
• Blown to Bits: Your Life, Liberty, and Happiness After the Digital Explosion, by Hal Abelson, Ken Ledeen, and Harry Lewis (2008)
• Radical Evolution: The Promise and Peril of Enhancing Our Minds, Our Bodies — and What It Means to Be Human, by Joel Garreau (2005)
• The Creation of Media, by Paul Starr (2005)
• Ruling the Waves: Cycles of Discovery, Chaos, and Wealth from the Compass to the Internet, by Debora Spar (2004)
• Questioning Technology, by Andrew Feenberg (1999)
• Thinking through Technology: The Path between Engineering and Philosophy, by Carl Mitcham (1994)
• Technologies of Freedom: On Free Speech in an Electronic Age, by Ithiel de Sola Pool (1983)

Fascinating article in the WSJ today:  “To Sketch a Thief: Genes Draw Likeness of Suspects In the Field of DNA Forensics, Scientists Identify Genetic Markers for Traits Revealing Appearance and Ethnicity.”

Forensic experts are increasingly relying on DNA as “a genetic eyewitness,” says Jack Ballantyne, associate director for research at the National Center for Forensic Science at the University of Central Florida in Orlando, who is studying whether a DNA sample can reveal a person’s age. “We’d like to say if the DNA found on a bomb fragment comes from the young man who carried the bomb or from the wizened old mastermind who built it.” The push to predict physical features from genetic material is known as DNA forensic phenotyping, and it’s already helped crack some difficult investigations. In 2004, police caught a Louisiana serial killer who eyewitnesses had suggested was white, but whose crime-scene DNA suggested — correctly — that he was black. Britain’s forensic service uses a similar “ethnic inference” test to trace murderers and rapists.

It goes almost without saying that the first impulse of many is to ban this evolving area of technology:

Worried about the ethical and social challenges, Germany doesn’t permit the forensic use of DNA to infer ethnicity or physical traits. Nor do a handful of U.S. states, including Indiana, Wyoming and Rhode Island. The U.K. and the Netherlands allow it.

The main downside I can see to the use of this technology in crime-fighting is that it would be disastrous for the genre of crime fiction.  While it certainly sounds like something out of GATTACA (my favorite movie of all time), it would have killed the plot:  The genetic-GESTAPO probably would have known that our genetically-defective hero Vincent Freeman (Ethan Hawke) was not in fact, the genetically-engineered-but-crippled superman Jerome Morrow (Jude Law) he claimed to be—and the whole plot would have gone up in smoke.  How much fun would that have been?

Interestingly, it seems Hulu once made the entire film available online but no longer does so.  Fie on them and their conspiracy to suppress the future!  Damn it, Hulu, don’t you know that “There Is No Gene For The Human Spirit?”