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.
Overview
Syllabus
Intro
Why this project
The project
Industry collaboration
Shared language
Prototypes
Politics of explanation
Politics of explainability
Taught by
Alan Turing Institute