E6: AI Ethics, Data Governance, & Training Challenges with Giada Pistilli
Practically Intelligent
00:00
Building an Ethical Framework and Addressing Bias in AI Models
The chapter explores the importance of building an ethical framework step by step and avoiding 'ethics shopping', emphasizing collaboration with other organizations and defining project values. It delves into the encoding of biases in models and the conflict in bias between input and response from an LLM. The chapter also discusses the challenge of addressing biases and values in language models, exploring the progress made in recent years and the need to incorporate ethics as a first-class citizen in AI research.
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