Learn About AI Ethics

Examine the moral dimensions of artificial intelligence — bias in algorithms, autonomous weapons, surveillance, job displacement, and the frameworks for building AI that serves humanity.

MIT researcher Joy Buolamwini's 2018 "Gender Shades" study found that commercial facial recognition systems had error rates of up to 34.7% for dark-skinned women compared to less than 1% for light-skinned men, revealing systematic racial and gender bias in AI. The EU's AI Act, passed in March 2024, became the world's first comprehensive AI regulation, establishing a risk-based framework that bans certain AI uses like social scoring while requiring transparency for high-risk applications. The "alignment problem" — ensuring AI systems pursue goals that match human values — was articulated by Stuart Russell in his 2019 book "Human Compatible" and has become one of the most actively researched challenges in AI safety.

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