Data Dilemmas
Concerns arise as faulty and incomplete data is fed into AI systems, leading to questionable claims about the world. The conversation highlights the urgent need for guardrails in automated processes, especially in sensitive areas like criminal justice and education. With a predominantly homogenous group shaping these technologies, the risk of replicating discrimination patterns becomes increasingly apparent.In this clip
From this podcast
Decoder with Nilay Patel
Recode Decode: Meredith Whittaker and Kate Crawford
Related Questions
Are there biases in AI as discussed in the episode Meredith Ringel Morris: Generative AI's HCI Moment and the clip Trusting AI Outputs?
Why is caution needed in AI research as discussed in the episode Automated Fact Checking and the clip Uncovering Data Caveats?
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?