AI Model Safety
The discussion delves into the multifaceted nature of AI safety, particularly focusing on fairness and bias. Researchers are actively addressing bias at every stage of the AI pipeline, emphasizing the importance of vigilance in data curation and algorithm design. Notably, the concentration of medical AI research data from just a few states highlights the systemic biases that can arise, urging the need for more inclusive data practices.In this clip
From this podcast
Greymatter
Human-Centered AI | Dr. Fei-Fei Li
Related Questions
Are there biases in AI as discussed in the episode Ayanna Howard: Human-Robot Interaction & Ethics of Safety-Critical Systems | Lex Fridman Podcast #66 and the clip Algorithmic Bias in Healthcare?
Are there biases in AI as discussed in the episode Ayanna Howard: Human-Robot Interaction & Ethics of Safety-Critical Systems | Lex Fridman Podcast #66 and the clip Algorithmic Bias in Healthcare?
Can AI have biases as discussed in the episode Ayanna Howard: Human-Robot Interaction & Ethics of Safety-Critical Systems | Lex Fridman Podcast #66 and the clip Algorithmic Bias in Healthcare?