The Limits of Explainability - Alison Powell

Explore the limits of AI explainability in this 22-minute conference talk by Alison Powell at the Alan Turing Institute. Delve into the human dimension of algorithmic decision-making and its ethical implications. Examine the challenges of individual justice in data-driven decisions, the societal contexts of explanations, and the importance of human interpretation in AI-supported choices. Learn about the critical task of translating technical AI processes into everyday language to justifiably apply results to real-world contexts. Gain insights from experts Reuben Binns, Alison Powell, and David Leslie as they discuss the importance, limitations, and implications of explainability in AI systems. Engage with cutting-edge research at the intersection of new technologies, public policy, and ethics in this thought-provoking lecture from the 'Driving data futures' series.

Intro
Why this project
The project
Industry collaboration
Shared language
Prototypes
Politics of explanation
Politics of explainability