Page 4: 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.

Energy & Green Tech

Improving power communication systems with knowledge graphing

New research published in the International Journal of Information and Communication Technology suggests that so-called knowledge graphs, a form of AI-based data organization, could improve the reliability and maintenance ...

Security

AI can seem more human than real humans in a classic Turing test

A new University of California San Diego study unveils the first empirical evidence that a modern artificial intelligence system can pass the Turing test—a major scientific benchmark that asks whether a machine can imitate ...

Consumer & Gadgets

Humans are bad at making complex decisions. AI can call them out

When a list of pros and cons won't cut it, a new decision-making tool developed by Cornell researchers can use artificial intelligence to help make difficult decisions. But there's a twist: Instead of checking AI's result, ...

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