All Helix Center events are free and open to the public, including this one!
Roundtables are streamed live our website and the recording remains available after the event events.
This is a past event that happened on Saturday, September 26, 2020 at 2:30pm.
Justice is blind, the saying goes, which means that a person’s particulars – their social status, race, gender, etc. – should have no bearing on fair judgement in any legal dispute. By this standard, we are all considered equal before the law. In A Theory of Justice, the philosopher John Rawls proposed the following thought experiment: what kind of society and government would you choose if you did not know beforehand the role you would play in that society? Imagining yourself an anonymous, “random” person — raceless, genderless, and classless — in other words “blinded” to your own particulars, what would you endorse as the fairest system for the distribution of assets, of opportunity and obligation for the citizenry?
And now imagine Justice wearing Xray glasses! Artificial Intelligence has arrived, and by hoovering up personal data at an increasing rate, data we are often even unaware of “emitting” — the rhythm of daily movement and sleep, vocal patterns and word choice frequencies — we have begun to disclose information that in many instances exceeds what we know about ourselves. To the holders of this information we are the furthest thing from anonymous. Now consider how this utter loss of anonymity might ultimately impact how society distributes assets and opportunity, and how it dictates each individual’s obligation to the state.
Machine learning and other AI algorithms are being used in a wide variety of contexts, including medical and legal decision-making, in addition to ad targeting, mortgage risk and sentencing recommendation systems, etc. The existing database already creates a cyber-profile for each of us at a level of resolution inconceivable just a decade ago. And then, of course, computers are inference engines, and these high-resolution profiles spit out predictions about our choices and behaviors that we have no role in vetting. Based on this “number crunching” we may be thrown into categories we did not even know existed, with important implications.
And then there is the worry: will AI serve us in our best interest? The fictional HAL 9000 computer in Stanley Kubrick’s 2001: A Space Odyssey was designed to serve mankind but ran dramatically afoul of this credo. Should we begin now to consider the rules of engagement between ourselves and the super-intelligent machine agents we may reasonably anticipate? As the use of AI algorithms grows more and more prevalent, it is important that we think hard about the ethical, legal, and social implications of these technologies and their myriad current and potential future uses.
Participants:
Tina Eliassi-Rad
Professor, Computer Science, Northeastern University
Tina Eliassi-Rad is a Professor of Computer Science at Northeastern University in Boston, MA. She is also a core faculty member at Northeastern University’s Network Science Institute. Prior to joining Northeastern, Tina was an Associate Professor of Computer Science at Rutgers University; and before that she was a Member of Technical Staff and Principal Investigator... read more! »Branden Fitelson
Distinguished Professor of Philosophy, Northeastern University
Branden Fitelson is Distinguished Professor of Philosophy at Northeastern University. Before teaching at Northeastern, Branden held teaching positions at Rutgers, UC-Berkeley, San José State, and Stanford and visiting positions at the Munich Center for Mathematical Philosophy at LMU-Munich (MCMP @ LMU) and the Institute for Logic, Language and Computation at the University of Amsterdam (ILLC... read more! »Rayid Ghani
Distinguished Career Professor, Machine Learning Department, Heinz College of Information Systems & Public Policy, Carnegie Mellon University
Rayid Ghani is a Distinguished Career Professor in the Machine Learning Department and the Heinz College of Public Policy at Carnegie Mellon University. Rayid is a reformed computer scientist and wanna-be social scientist, but mostly just wants to increase the use of large-scale AI/Machine Learning/Data Science in collaboratively solving large public policy and social challenges in a fair... read more! »Gabbrielle Johnson
Assistant Professor, Philosophy, Claremont McKenna College
Gabrielle Johnson is an Assistant Professor of Philosophy at Claremont McKenna College. Before joining CMC, she was a Bersoff Faculty Fellow at NYU, affiliated with the Center for Mind, Brain, and Consciousness. She works primarily in philosophy of psychology, philosophy of cognitive science, philosophy of science, and philosophy of technology. Her projects explore the nature... read more! »Tracey Meares
Walton Hale Hamilton Professor, Yale Law School
Founding Director, Justice Collaboratory, Yale Law School