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Political Economy of Reinforcement Learning (PERLS) Workshop

 

Date: December, 2021

Call for Papers (deadline): September 18, 2021

About: Sponsored by the Center for Human-Compatible AI at UC Berkeley, and with support from the Simons Institute and the Center for Long-Term Cybersecurity, we are convening a cross-disciplinary group of researchers to examine the near-term policy concerns of Reinforcement Learning (RL). RL is a rapidly growing branch of AI research, with the capacity to learn to exploit our dynamic behavior in real time. From YouTube’s recommendation algorithm to post-surgery opioid prescriptions, RL algorithms are poised to permeate our daily lives. The ability of the RL system to tease out behavioral responses, and the human experimentation inherent to its learning, motivate a range of crucial policy questions about RL’s societal implications that are distinct from those addressed in the literature on other branches of Machine Learning (ML). Read More >

Upcoming DLI Events 

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Digital Life Seminar

Date Postponed to Fall 2022

Time TBD

We are taking a slight pause for the academic year, but will be back in action during Fall 2022. In the meantime, catch-up on previous seminars via DLI's Media Channel. 

 

Previous DLI Events 

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3rd Workshop on Obfuscation

Date May 4 & 7, 2021

 

The aim of the workshop is to convene participants around the concept and practice of obfuscation in digital societies. We welcome researchers, scientists, policy makers, public-interest developers and coders, journalists, activists, artists and other interested parties to discuss obfuscation in environments and conditions of asymmetrical power and information. Read More >

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Autonomous Vehicles Workshop

Date Friday, March 13, 2020

This single day event will bring together experts from engineering, policy, and industry to discuss the social implications of autonomous transport from different perspectives. We plan to explore questions such as: 

How different vehicle deployments change how human occupants are identified and defined, and how that may affect questions of privacy and autonomy.​ Read More >

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Speed Conference

Date September 28 - 29, 2018 

 

Algorithmic oversight is one of the defining policy problems of our age. Two dimensions of the problem are well appreciated: scale and complexity. But there is a third and equally important dimension, one that has gone comparatively unnoticed: speed. The characteristic time-scales of human decision-making range from years (for democratic deliberations) to a few hundred milliseconds (for instinctual reactions). Read More >

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Contextual Integrity Symposium 2019

Date August 19 - 20, 2019

 

Following a successful inaugural Contextual Integrity Symposium in Fall 2018 at Princeton University, a second 2-day event was hosted at UC Berkeley to encourage interdisciplinary discussions to explore the applications and implications of CI. Read More >

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Contextual Integrity Symposium 2018

Date September 28 - 29, 2018 

 

The aim of the first Contextual Integrity Symposium was to foster communication among diverse communities of research and practice that have used the theory of contextual integrity as a framework to reason about, design and evaluate, craft regulation for, and generate formal logics for privacy. After the success of a half-day meeting in Fall 2017, Symposium organizers were excited to follow up with a more comprehensive event to foster discussion across a broader spectrum of disciplines. Read More >

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Manipulation Workshop

Date October 30, 2020

 

Public concern is coalescing around the problem of online influence—especially, the ability of data collectors to use information about individuals to influence their decision-making and shape their behaviors. Once confined to the realm of commercial advertising, post 2016, these worries have extended to the political sphere, where campaigns increasingly engage in sophisticated voter profiling and micro-targeting, using information about voters to frame political pitches and appeals. Read More >