The relationship between citizens and their criminal justice systems comes down to just that - relationships. And those relations generally start with essentially one-on-one encounters between law enforcement personnel and individuals, whether those individuals are suspects, victims or witnesses.

When those relations get off on the wrong foot - or worse, as in the case of a number of high-profile police killings in the United States attest to - the repercussions can resonate far away from where a traffic stop occurs. This is the field that social psychologist Nick Camp researches. As his website at the University of Michigan explains, Camps studies "the role routine police-citizen encounters play in undermining police-community trust, and how these disparities can be addressed."

As he tells interviewer David Edmonds in this Social Science Bites podcast, "[O]ne of the things that we know from research and procedural justice is that when people don't view policing as legitimate, they're less likely to cooperate with police requests for assistance, for example. Until now, it’s hard to find experimental evidence for this, but one of the things we can use body cameras for is not just to look at disparities in these interactions, but their consequences."

In this episode, Camp cites research on body camera footage, traffic stops, and even first names to describe how anecdotal tropes about often poor police-citizen interactions, especially in the African-American community, are borne out by the reams of data modern recording devices provide. He also offers hopeful signs of improving these relationships with training based on this very same data, and suggests that artificial intelligence might be useful in mining this data for more insights.

Listening to the ongoing debate about artificial intelligence, one could be forgiven for assuming that the technology is either a bogeyman or a savior, with little ground in between. But that’s not the stance of economist Daron Acemoglu, professor at the Massachusetts Institute of Technology and the author, with Simon Johnson, of the new book Power and Progress: Our Thousand-Year Struggle Over Technology and Prosperity. Combining a cogent historical analysis of past technological revolutions, he examines whether a groundbreaking new technology “augments” the status quo, as opposed to merely squeezing out human labor.

“[M]y favorite term is ‘creating new tasks’ because I think it really clarifies what the quote unquote augmenting needs to take the form of,” he tells interviewer David Edmonds in this Social Science Bites podcast. “It's not just making a worker more productive in tightening the screws, but it's really creating new jobs that didn't exist.” And so, he explains to those perhaps afraid that a bot is gunning for their livelihood, “Automation is not our enemy. Excessive automation is our enemy.”

This is not to depict Acemoglu as an apologist for our new silicon taskmasters. Current trends such as the consolidation of power among technology companies, a focus on shareholder returns at the expense of all else, a blind trust in companies to somehow muddle through to societal equilibrium, and a slavish drive to automate everything immediately all leave him cold: “I feel AI is going in the wrong direction and taking us down with it.”

His conversation doesn’t end there, thankfully, and he offers some hopeful words on how we might find that modus vivendi with AI, including (but by no means only relying on) “the soft hand of the state in tipping the scales one way or another.”

Acemoglu is an elected fellow of the National Academy of Sciences, the American Philosophical Society, the British Academy of Sciences, the Turkish Academy of Sciences, the American Academy of Arts and Sciences, the Econometric Society, the European Economic Association, and the Society of Labor Economists. He is also a member of the academic-cum-policymaker group of economic movers and shakers known as the Group of 30.

Besides Power and Progress, his books include the popular bestseller Why Nations Fail: Power, Prosperity, and Poverty written with James Robinson. Acemoglu has received a number of prizes, including two inaugural awards in 2004, the T. W. Shultz Prize from the University of Chicago and the Sherwin Rosen Award for outstanding contribution to labor economics. He received the John Bates Clark Medal in 2005, the Erwin Plein Nemmers Prize in 2012, and the 2016 BBVA Frontiers of Knowledge Award, as well as the Distinguished Science Award from the Turkish Sciences Association in 2006 and a Carnegie Fellowship in 2017.

How much of our understanding of the world comes built-in? More than you’d expect.

That’s the conclusion that Iris Berent, a professor of psychology at Northeastern University and head of the Language and Mind Lab there, has come to after years of research. She notes that her students, for example, are “astonished” at how much of human behavior and reactions are innate.

“They think this is really strange,” she tells interviewer David Edmonds in this Social Science Bites podcast. “They don't think that knowledge, beliefs, that all those epistemic states, could possibly be innate. It doesn't look like this is happening just because they reject innateness across the board.”

This rejection – which affects not only students but the general public and sometimes even social and behavioral scientists -- does have collateral damage.

So, too, is misinterpreting what the innateness of some human nature can mean. “[I]f you think that what's in the body is innate and immutable, then upon getting evidence that your depression has a physical basis, when people are educated, that psychiatric disorders are just diseases like all others, that actually makes them more pessimistic, it creates more stigma, because you think that your essence is different from my essence. … [Y]ou give them vignettes that actually underscore the biological origin of a problem, they are less likely to think that therapy is going to help, which is obviously false and really problematic”

Berent’s journey to studying intuitive knowledge was itself not intuitive. She received a bachelor’s in musicology from Tel-Aviv University and another in flute performance at The Rubin Academy of Music before earning master’s degrees in cognitive psychology and in music theory – from the University of Pittsburgh. In 1993, she received a Ph.D. in cognitive psychology from Pittsburgh.

As a researcher, much of her investigation into the innate originated by looking at language, specifically using the study of phonology to determine how universal – and that includes in animals – principles of communication are. This work resulted in the 2013 book, The Phonological Mind. Her work specifically on innateness in turn led to her 2020 book for the Oxford University Press, The Blind Storyteller: How We Reason About Human Nature.