2 citations · 4 across the 6 of their papers we have counts for
10 papers · 1 filter
Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects
Reva Schwartz, Rumman Chowdhury, Akash Kundu +17
Conventional AI evaluation approaches concentrated within the AI stack exhibit systemic limitations for exploring, navigating and resolving the human and societal factors that play…
AI Sustainability in Practice Part Two: Sustainability Throughout the AI Workflow
David Leslie, Cami Rincon, Morgan Briggs +10
The sustainability of AI systems depends on the capacity of project teams to proceed with a continuous sensitivity to their potential real-world impacts and transformative effects.…
AI Ethics and Governance in Practice: An Introduction
David Leslie, Cami Rincon, Morgan Briggs +8
AI systems may have transformative and long-term effects on individuals and society. To manage these impacts responsibly and direct the development of AI systems toward optimal pub…
AI Fairness in Practice
David Leslie, Cami Rincon, Morgan Briggs +10
Reaching consensus on a commonly accepted definition of AI Fairness has long been a central challenge in AI ethics and governance. There is a broad spectrum of views across society…
AI Sustainability in Practice Part One: Foundations for Sustainable AI Projects
David Leslie, Cami Rincon, Morgan Briggs +10
Sustainable AI projects are continuously responsive to the transformative effects as well as short-, medium-, and long-term impacts on individuals and society that the design, deve…
Data Justice in Practice: A Guide for Developers
David Leslie, Michael Katell, Mhairi Aitken +7
The Advancing Data Justice Research and Practice project aims to broaden understanding of the social, historical, cultural, political, and economic forces that contribute to discri…