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
Research summary: The Deepfake Detection Challenge: Insights and Recommendations for AI and Media Integrity
Top-level summary: Accurate and trustworthy information plays a key role in the development of a well-functioning society. When that is compromised by
Research summary: Machine Learning Fairness – Lessons Learned
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.
Research summary: The Toxic Potential of YouTube’s Feedback Loop
This summary is based on a talk from the CADE Tech Policy Workshop: New Challenges for Regulation in late 2019. The speaker, Guillaume Chaslot,
Research summary: What’s Next for AI Ethics, Policy, and Governance? A Global Overview
This paper (by Daniel Schiff, Justin Biddle, Jason Borenstein and Kelly Laas) attempts to discern underlying motivations for creating AI ethics
Research summary: The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand
This paper by two economists (Daron Acemoglu and Pascual Restrepo) provides some grounding for these discussions in terms of how to approach this
Research summary: Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society
A much needed paper by Carina Prunkl and Jess Whittlestone shedding light in a polarized research and practice community that can clearly benefit from
Research summary: Algorithmic Injustices towards a Relational Ethics
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
Research summary: AI Mediated Exchange Theory by Xiao Ma and Taylor W. Brown
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