80 citations · 236 across the 21 of their papers we have counts for
5 papers · 1 filter
Defining AI in Policy versus Practice
P. M. Krafft, Meg Young, Michael Katell +2
Recent concern about harms of information technologies motivate consideration of regulatory action to forestall or constrain certain developments in the field of artificial intelli…
An Algorithmic Equity Toolkit for Technology Audits by Community Advocates and Activists
Michael Katell, Meg Young, Bernease Herman +6
A wave of recent scholarship documenting the discriminatory harms of algorithmic systems has spurred widespread interest in algorithmic accountability and regulation. Yet effective…
Designing for Participation and Change in Digital Institutions
Peter Krafft, Brian Keegan, Seth Frey
Whether we recognize it or not, the Internet is rife with exciting and original institutional forms that are transforming social organization on and offline. Issues of governance i…
Leveraging Communication Topologies Between Learning Agents in Deep Reinforcement Learning
Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey +4
A common technique to improve learning performance in deep reinforcement learning (DRL) and many other machine learning algorithms is to run multiple learning agents in parallel. A…
A Bayesian Cognition Approach to Improve Data Visualization
Yea-Seul Kim, Logan A Walls, Peter Krafft +1
People naturally bring their prior beliefs to bear on how they interpret the new information, yet few formal models exist for accounting for the influence of users' prior beliefs i…