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This is a compendium of readings on “progress studies,” or essays and books which generally make the case for technological innovation, dynamism, economic growth, and abundance. I will update this list as additional material of relevance is brought to my attention.
I was speaking at a conference recently and discussing my life’s work, which for 30 years has been focused on the importance of innovation and intellectual battles over what we mean progress. I put together up a short list of some things I have written over the last few years on this topic and thought I would just re-post them here. I will try to keep this regularly updated, at least for a few years.
I recently posted an essay over at The Bridge about “The Pacing Problem and the Future of Technology Regulation.” In it, I explain why the pacing problem—the notion that technological innovation is increasingly outpacing the ability of laws and regulations to keep up—“is becoming the great equalizer in debates over technological governance because it forces governments to rethink their approach to the regulation of many sectors and technologies.”
In this follow-up article, I wanted to expand upon some of the themes developed in that essay and discuss how they relate to two other important concepts: the “Collingridge Dilemma” and technological determinism. In doing so, I will build on material that is included in a forthcoming law review article I have co-authored with Jennifer Skees, Ryan Hagemann (“Soft Law for Hard Problems: The Governance of Emerging Technologies in an Uncertain Future”) as well as a book I am finishing up on the growth of “evasive entrepreneurialism” and “technological civil disobedience.”
Recapping the Nature of the Pacing Problem
First, let us quickly recap that nature of “the pacing problem.” I believe Larry Downes did the best job explaining the “problem” in his 2009 book on
The Laws of Disruption. Downes argued that “technology changes exponentially, but social, economic, and legal systems change incrementally” and that this “law” was becoming “a simple but unavoidable principle of modern life.” Continue reading →
Whatever you want to call them–autonomous vehicles, driverless cars, automated systems, unmanned systems, connected cars, piloteless vehicles, etc.–the life-saving potential of this new class of technologies has been shown to be potentially enormous. I’ve spent a lot of time researching and writing about these issues, and I have yet to see any study forecast the opposite (i.e., a net loss of lives due to these technologies.) While the estimated life savings vary, the numbers are uniformly positive across the board, and not just in terms of lives saved, but also for reductions in other injuries, property damage, and aggregate social costs associated with vehicular accidents more generally.
To highlight these important and consistent findings, I asked my research assistant Melody Calkins to help me compile a list of recent studies on this issue and summarize the key takeaways of each one regarding at least the potential for lives saved. The studies and findings are listed below in reverse chronological order of publication. I may try to add to this over time, so please feel free to shoot me suggested updates as they become available.
Needless to say, these findings would hopefully have some bearing on public policy toward these technologies. Namely, we should be taking steps to accelerate this transition and removing roadblocks to the driverless car revolution because we could be talking about the biggest public health success story of our lifetime if we get policy right here. Every day matters because each day we delay this transition is another day during which 90 people die in car crashes and more than 6,500 will be injured. And sadly, those numbers are going up, not down. According to the National Highway Traffic Safety Administration (NHTSA), auto crashes and the roadway death toll is climbing for the first time in decades. Meanwhile, the agency estimated that 94 percent of all crashes are attributable to human error. We have the potential to do something about this tragedy, but we have to get public policy right. Delay is not an option.
The website ProCon.org has a new debate online laying out the different perspectives about the question: “Do violent video games contribute to youth violence?” It includes citations for a wide variety of studies that come down on both sides of the question. Simply put, there’s a study for everyone out there. Do you want to find a study suggesting that there’s a strong correlation between violently-themed media and aggression? You can find plenty. Or do you want to hear that there’s no correlation between these things? Well, there’s plenty of studies suggesting that, too.
As someone who briefly flirted with a degree in psychology, I find this an interesting intellectual debate. But here’s the thing I can’t get away from —
lab studies by psychology professors and students are not the real-world. I am consistently shocked and disappointed at the lack of scrutiny these studies receive when they are little more than artificial constructions of reality.
So, how can we determine whether watching depictions of violence will turn us all into killing machines, rapists, robbers, or just plain ol’ desensitized thugs? Well, how about looking at the real world! Whatever lab experiments might suggest, the evidence of a link between depictions of violence in media and the real-world equivalent just does not show up in the data. The FBI produces ongoing Crime in the United States reports that document violent crimes trends. Here’s what the data tells us about overall violent crime, forcible rape, and juvenile violent crime rates over the past two decades: They have all fallen. Perhaps most impressively, the juvenile crime rate has fallen an astonishing 36% since 1995 (and the juvenile murder rate has plummeted by 62%).
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