Page 25: Research news on AI alignment

AI alignment examines how artificial systems acquire, represent, and act on goals, values, and social norms, and why their behavior often diverges from human expectations. Work in this area studies systematic failures such as bias, sycophancy, hallucinations, deceptive or selfish reasoning, and cultural or linguistic inequities, as well as limitations in commonsense, emotion, and social understanding. It also develops methods for preference learning, norm-following, interpretability, and reliability guarantees to better align AI behavior with human values and societal constraints.

Business

Palantir, the AI giant that preaches US dominance

Palantir, an American data analysis and artificial intelligence company, has emerged as Silicon Valley's latest tech darling—one that makes no secret of its macho, America-first ethos now ascendant in Trump-era tech culture.

Machine learning & AI

Democratizing AI-powered sentiment analysis

Artificial intelligence is accelerating at breakneck speed, with larger models dominating the scene—more parameters, more data, more power. But here is the real question: Do we really need bigger to be better? We challenged ...

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