KDD TransFAT - Translating Fairness, Accountability, and Transparency - Julia Stoyanovich

Explore the critical intersection of artificial intelligence and ethical considerations in this thought-provoking conference talk. Delve into the challenges and opportunities presented by automated decision systems, particularly in hiring processes. Examine the effectiveness of these tools and confront the issue of bias in computer systems. Discover how data equity can be leveraged to address these concerns and learn about diverse balanced ranking techniques. Gain insights into the model development lifecycle and the importance of interpretability in building trust. Conclude with a discussion on the crucial role of education for technical students in fostering responsible AI development and implementation.

Intro
The promise of Al
Automated hiring systems
Do these tools work?
Automated Decision Systems (ADS)
Blas in computer systems
Data equity to the rescue!
Diverse balanced ranking
Model development lifecycle
Interpretability to buid trust
Education: technical students