Page 9: 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 ...

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