The What, Why & How of Responsible AI

Explore the critical aspects of responsible AI implementation in this 32-minute SXSW 2021 conference talk. Delve into the challenges posed by AI's widespread adoption and its potential to amplify unfair biases in algorithmic systems. Gain practical insights on understanding trade-offs, impact assessment, and strategies for detecting and mitigating risks associated with AI deployment. Discover recommendations, best practices, and consumer-focused techniques aimed at promoting fair and ethical AI implementation across government, industry, and public sectors. Learn about the importance of responsible AI, its objectives, data considerations, ethical implications, and the role of social trust in AI development and deployment.

Intro
About Me
Why Responsible AI
How to Build Responsible AI
Needs
Objectives
Data
Ethics
Social Trust
Conclusion