Page 5: 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.

Computer Sciences

Blind ambition: AI agents can turn tasks into digital disasters

Computer scientists at UC Riverside have identified troubling flaws in a new generation of artificial intelligence (AI) agents designed to take over routine computer chores while users are away—sorting emails, organizing ...

Machine learning & AI

Don't let AI give your eulogy

There was something a bit off about a speech at one of my recent colleague's retirements. It was beautifully written, very generously worded and the pacing was impeccable. And yet, I hate to say it, it was utterly lifeless.

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