Research Summaries

Top-level summary: A high-level position paper from Google (by Xiao Ma and Ariel Lu), this work brings forth in a succinct manner some of the

Top-level summary: With a rising number of cases worldwide of COVID-19 and extensive measures being taken across the world to minimize the spread and

Top-level summary: This white paper from the World Economic Forum presents a great getting started guide for people looking to implement governance

Top-level summary: This paper by Abeba Birhane and Jelle van Dijk highlights a quintessential dilemma that often pops up when entrants to the domain

Top-level summary: Accurate and trustworthy information plays a key role in the development of a well-functioning society. When that is compromised by

Top-level summary: When we think about fairness in ML systems, we usually focus a lot on data and not as much on the other pieces of the pipeline.

This summary is based on a talk from the CADE Tech Policy Workshop: New Challenges for Regulation in late 2019. The speaker, Guillaume Chaslot,

This paper (by Daniel Schiff, Justin Biddle, Jason Borenstein and Kelly Laas) attempts to discern underlying motivations for creating AI ethics

This paper by two economists (Daron Acemoglu and Pascual Restrepo) provides some grounding for these discussions in terms of how to approach this

A much needed paper by Carina Prunkl and Jess Whittlestone shedding light in a polarized research and practice community that can clearly benefit from

This paper presented by Abebe Birhane and Fred Cummins at the Black in AI workshop at NeurIPS 2019 elucidates how the current paradigm in research on

This paper by Xiao Ma and Taylor W. Brown puts forth a framework that extends the well studied Social Exchange Theory (SET) to study human-AI