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On Monday, April 16th, the Technology Policy Institute hosted an event on “Facebook & Cambridge Analytica: Regulatory & Policy Implications.” I was invited to deliver some remarks on a panel that included Howard Beales of George Washington University, Stuart Ingis of Venable LLP, Josephine Wolff of the Rochester Institute of Technology, and Thomas Lenard of TPI, who moderated. I offered some thoughts about the potential trade-offs associated with treating Facebook like a regulated public utility. I wrote an essay here last week on that topic. My remarks at the event begin at the 13:45 mark of the video.

 

Last Friday, law enforcement agencies shutdown Backpage.com. The website has become infamous for its role in sex trafficking, particularly related to underage victims, and its shutdown is rightly being applaud by many as a significant win for preventing sex trafficking online. This shutdown shows, however, that prosecutors had the tools necessary to go after bad actors prior to the passage of the Stop Enabling Sex Traffickers Act (SESTA) last month. Unfortunately, this is not the first time the government has pushed for regulation of technology knowing it already had the tools and information needed to build a case against bad actors.

The version of SESTA passed by Congress last month included a number of poorly thought through components including an ex post facto application and poorly articulated definitions, but it passed both houses of Congress with little opposition. In fact, because the law was seen as a must pass and linked to sex trafficking, the Senate even overwhelming rejected an amendment to provide additional funding for prosecuting such crimes. Even without being signed into law, SESTA has already resulted in Reddit and Craigslist removing communities from their platforms within days of its passage. What this most recent event shows is the government already had the tools to go after the bad actors like Backpage, but failed to use them as Congress debated and passed a law that chipped away at the protection for the rest of the Internet and gave the government even broader powers.

This is not the first time that the government has encouraged through either its action or inaction damaging regulation of disruptive technology while knowing that it had tools at its disposal that could achieve the desired results without the need for an additional regulatory burden. In 2016, the government argued following the San Bernadino shootings that it need more access to encrypted devices like the iPhone when Apple refused to comply with a writ compelling it to unlock the shooters’ phones. The Senate responded to the controversy by proposing a bill that would require business like Apple to assist authorities in gaining access to encrypted devices. Thankfully, because the FBI was able to gain the information needed without Apple through a third party vendor, such calls largely diminished and the legislation never went anywhere.  Now, a recent Office of the Inspector General report has revealed the FBI “testified inaccurately or made false statements” regarding its ability to gain data from the encrypted iPhone.

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With Facebook CEO Mark Zuckerberg in town this week for a political flogging, you might think that this is darkest hour for the social networking giant. Facebook stands at a regulatory crossroads, to be sure. But allow me to offer a cynical take, and one based on history: Facebook is potentially poised to score its greatest victory ever as it begins the transition to regulated monopoly status, solidifying its market power, and limiting threats from new rivals.

By slowly capitulating to critics (both here and abroad) who are thirsty for massive regulation of the data-driven economy, Facebook is setting itself up as a servant of the state. In the name of satisfying some amorphous political “public interest” standard and fulfilling a variety of corporate responsibility objectives, Facebook will gradually allow itself to be converted into a sort of digital public utility or electronic essential facility.

That sounds like trouble for the firm until you realize that Facebook is one of the few companies who will be able to sacrifice a pound of flesh like that and remain alive. As layers of new regulatory obligations are applied, barriers to new innovations will become formidable obstacles to the very competitors that the public so desperately needs right now to offer us better alternatives. Gradually, Facebook will recognize this and go along with the regulatory schemes. And then eventually they will become the biggest defender of all of it.

Welcome to Facebook’s broadcast industry moment. The firm is essentially in the same position the broadcast sector was about a century ago when it started cozying up to federal lawmakers. Over time, broadcasters would warmly embrace an expansive licensing regime that would allow all parties—regulatory advocates, academics, lawmakers, bureaucrats, and even the broadcasters themselves—to play out the fairy tale that broadcasters would be good “public stewards” of the “public airwaves” to serve the “public interest.”

Alas, the actual listening and viewing public got royally shafted in this deal. Continue reading →

By Adam Thierer and Jennifer Huddleston Skees

There was horrible news from Tempe, Arizona this week as a pedestrian was struck and killed by a driverless car owned by Uber. This is the first fatality of its type and is drawing widespread media attention as a result. According to both police statements and Uber itself, the investigation into the accident is ongoing and Uber is assisting in the investigation. While this certainly is a tragic event, we cannot let it cost us the life-saving potential of autonomous vehicles.

While any fatal traffic accident involving a driverless car is certainly sad, we can’t ignore the fact that each and every day in the United States letting human beings drive on public roads is proving far more dangerous. This single event has led some critics to wonder why we were allowing driverless cars to be tested on public roads at all before they have been proven to be 100% safe. Driverless cars can help reverse a public health disaster decades in the making, but only if policymakers allow real-world experimentation to continue.

Let’s be more concrete about this: Each day, Americans take 1.1 billion trips driving 11 billion miles in vehicles that weigh on average between 1.5 and 2 tons. Sadly, about 100 people die  and over 6,000 are injured each day in car accidents. 94% of these accidents have been shown to be attributable to human error and this deadly trend has been increasing as we become more distracted while driving. Moreover, according to the Center for Disease Control and Prevention, almost 6000 pedestrians were killed in traffic accidents in 2016, which means there was roughly one crash-related pedestrian death every 1.6 hours. In Arizona, the issue is even more pronounced with the state ranked 6th worst for pedestrians and the Phoenix area ranked the 16th worst metro for such accidents nationally. Continue reading →

Autonomous cars have been discussed rather thoroughly recently and at this point it seems a question of when and how rather than if they will become standard. But as this issue starts to settle, new questions about the application of autonomous technology to other types of transportation are becoming ripe for policy debates. While a great deal of attention seems to be focused on the potential revolutionize the trucking and shipping industries, not as much attention has been paid to how automation may help improve both intercity and intracity bus travel or other public and private transit like trains. The recent requests for comment from the Federal Transit Authority show that policymakers are starting to consider these other modes of transit in preparing for their next recommendations for autonomous vehicles. Here are 5 issues that will need to be considered for an autonomous transit system.

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The Mercatus Center at George Mason University has just released a new paper on,”Permissionless Innovation and Immersive Technology: Public Policy for Virtual and Augmented Reality,” which I co-authored with Jonathan Camp. This 53-page paper can be downloaded via the Mercatus websiteSSRN or Research Gate.

Here is the abstract for the paper:

Immersive technologies such as augmented reality, virtual reality, and mixed reality are finally taking off. As these technologies become more widespread, concerns will likely develop about their disruptive social and economic effects. This paper addresses such policy concerns and contrasts two different visions for governing immersive tech going forward. The paper makes the case for permissionless innovation, or the general freedom to innovate without prior constraint, as the optimal policy default to maximize the benefits associated with immersive technologies. The alternative vision — the so-called precautionary principle — would be an inappropriate policy default because it would greatly limit the potential for beneficial applications and uses of these new technologies to emerge rapidly. Public policy for immersive technology should not be based on hypothetical worst-case scenarios. Rather, policymakers should wait to see which concerns or harms emerge and then devise ex post solutions as needed.

To better explain why precautionary controls on these emerging technologies would be such a mistake, Camp and I provide an inventory of the many VR, AR, and mixed reality applications that are already on the market–or soon could be–and which could provide society with profound benefits. A few examples include:  Continue reading →

The Mercatus Center at George Mason University has just released a new paper on, “Artificial Intelligence and Public Policy,” which I co-authored with Andrea Castillo O’Sullivan and Raymond Russell. This 54-page paper can be downloaded via the Mercatus website, SSRN, or ResearchGate. Here is the abstract:

There is growing interest in the market potential of artificial intelligence (AI) technologies and applications as well as in the potential risks that these technologies might pose. As a result, questions are being raised about the legal and regulatory governance of AI, machine learning, “autonomous” systems, and related robotic and data technologies. Fearing concerns about labor market effects, social inequality, and even physical harm, some have called for precautionary regulations that could have the effect of limiting AI development and deployment. In this paper, we recommend a different policy framework for AI technologies. At this nascent stage of AI technology development, we think a better case can be made for prudence, patience, and a continuing embrace of “permissionless innovation” as it pertains to modern digital technologies. Unless a compelling case can be made that a new invention will bring serious harm to society, innovation should be allowed to continue unabated, and problems, if they develop at all, can be addressed later.

My professional life is dedicated to researching the public policy implications of various emerging technologies. Of the many issues and sectors that I cover, none are more interesting or important than advanced medical innovation. After all, new health care technologies offer the greatest hope for improving human welfare and longevity. Consequently, the public policies that govern these technologies and sectors will have an important bearing on just how much life-enriching or life-saving medical innovation we actually get going forward.

Few people are doing better reporting on the intersection of advanced technology and medicine — as well as the effects of regulation on those fields — than my Mercatus Center colleague Jordan Reimschisel. In a very short period of time, Jordan has completely immersed himself in these complex, cutting-edge topics and produced a remarkable body of work discussing how, in his words, “technology can merge with medicine to democratize medical decision making, empower patients to participate in the treatment process, and promote better health outcomes for more patients at lower and lower costs.” He gets deep into the weeds of the various technologies he writes about as well as the legal, ethical, and economic issues surrounding each topic.

I encouraged him to start an ongoing compendium of his work on these topics so that we could continue to highlight his research, some of which I have been honored to co-author with him. I have listed his current catalog down below, but jump over to this Medium page he set up and bookmark it for future reference. This is some truly outstanding work and I am excited to see where he goes next with topics as wide-ranging as “biohackerspaces,” democratized or “personalized” medicine, advanced genetic testing and editing techniques, and the future of the FDA in an age of rapid change.

Give Jordan a follow on Twitter (@jtreimschisel) and make sure to follow his Medium page for his dispatches from the front lines of the debate over advanced medical innovation and its regulation.

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“Responsible research and innovation,” or “RRI,” has become a major theme in academic writing and conferences about the governance of emerging technologies. RRI might be considered just another variant of corporate social responsibility (CSR), and it indeed borrows from that heritage. What makes RRI unique, however, is that it is more squarely focused on mitigating the potential risks that could be associated with various technologies or technological processes. RRI is particularly concerned with “baking-in” certain values and design choices into the product lifecycle before new technologies are released into the wild.

In this essay, I want to consider how RRI lines up with the opposing technological governance regimes of “permissionless innovation” and the “precautionary principle.” More specifically, I want to address the question of whether “permissionless innovation” and “responsible innovation” are even compatible. While participating in recent university seminars and other tech policy events, I have encountered a certain degree of skepticism—and sometimes outright hostility—after suggesting that, properly understood, “permissionless innovation” and “responsible innovation” are not warring concepts and that RRI can co-exist peacefully with a legal regime that adopts permissionless innovation as its general tech policy default. Indeed, the application of RRI lessons and recommendations can strengthen the case for adopting a more “permissionless” approach to innovation policy in the United States and elsewhere. Continue reading →

Federal Communications Commission (FCC) Chairman Ajit Pai today announced plans to expand the role of economic analysis at the FCC in a speech at the Hudson Institute. This is an eminently sensible idea that other regulatory agencies (both independent and executive branch) could learn from.

Pai first made the case that when the FCC listened to its economists in the past, it unlocked billions of dollars of value for consumers. The most prominent example was the switch from hearings to auctions in order to allocate spectrum licenses. He perceptively noted that the biggest effect of auctions was the massive improvement in consumer welfare, not just the more than $100 billion raised for the Treasury. Other examples of the FCC using the best ideas of its economists include:

  • Use of reverse auctions to allocate universal service funds to reduce costs.
  • Incentive auctions that reward broadcasters for transferring licenses to other uses – an idea initially proposed in a 2002 working paper by Evan Kwerel and John Williams at the FCC.
  • The move from rate of return to price cap regulation for long distance carriers.

More recently, Pai argued, the FCC has failed to use economics effectively. He identified four key problems:

  1. Economics is not systematically employed in policy decisions and often employed late in the process. The FCC has no guiding principles for conduct and use of economic analysis.
  2. Economists work in silos. They are divided up among bureaus. Economists should be able to work together on a wide variety of issues, as they do in the Federal Trade Commission’s Bureau of Economics, the Department of Justice Antitrust Division’s economic analysis unit, and the Securities and Exchange Commission’s Division of Economic and Risk Analysis.
  3. Benefit-cost analysis is not conducted well or often, and the FCC does not take Regulatory Flexibility Act analysis (which assesses effects of regulations on small entities) seriously. The FCC should use Office of Management and Budget guidance as its guide to doing good analysis, but OMB’s 2016 draft report on the benefits and costs of federal regulations shows that the FCC has estimated neither benefits nor costs of any of its major regulations issued in the past 10 years. Yet executive orders from multiple administrations demonstrate that “Serious cost-benefit analysis is a bipartisan tradition.”
  4. Poor use of data. The FCC probably collects a lot of data that’s unnecessary, at a paperwork cost of $800 million per year, not including opportunity costs of the private sector. But even useful data are not utilized well. For example, a few years ago the FCC stopped trying to determine whether the wireless market is effectively competitive even though it collects lots of data on the wireless market.

To remedy these problems, Pai announced an initiative to establish an Office of Economics and Data that would house the FCC’s economists and data analysts. An internal working group will be established to collect input within the FCC and from the public. He hopes to have the new office up and running by the end of the year. The purpose of this change is to give economists early input into the rulemaking process, better manage the FCC’s data resources, and conduct strategic research to help find solutions to “the next set of difficult issues.”

Can this initiative significantly improve the quality and use of economic analysis at the FCC?

There’s evidence that independent regulatory agencies are capable of making some decent improvements in their economic analysis when they are sufficiently motivated to do so. For example, the Securities and Exchange Commission’s authorizing statue contains language that requires benefit-cost analysis of regulations when the commission seeks to determine whether they are in the public interest. Between 2005 and 2011, the SEC lost several major court cases due to inadequate economic analysis.

In 2012, the commission’s general counsel and chief economist issued new economic analysis guidance that pledged to assess regulations according to the principal criteria identified in executive orders, guidance from the Office of Management and Budget, and independent research. In a recent study, I found that the economic analysis accompanying a sample of major SEC regulations issued after this guidance was measurably better than the analysis accompanying regulations issued prior to the new guidance. The SEC improved on all five aspects of economic analysis it identified as critical: assessment of the need for the regulation, assessment of the baseline outcomes that will likely occur in the absence of new regulation, identification of alternatives, and assessment of the benefits and costs of alternatives.

Unlike the SEC, the FCC faces no statutory benefit-cost analysis requirement for its regulations. Unlike the executive branch agencies, the FCC is under no executive order requiring economic analysis of regulations. Unlike the Federal Trade Commission in the early 1980s, the FCC faces little congressional pressure for abolition.

But Congress is considering legislation that would require all regulatory agencies to conduct economic analysis of major regulations and subject that analysis to limited judicial review. Proponents of executive branch regulatory review have always contended that the president has legal authority to extend the executive orders on regulatory impact analysis to cover independent agencies, and perhaps President Trump is audacious enough to try this. Thus, it appears Chairman Pai is trying to get the FCC out ahead of the curve.