Page 11: 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.

Machine learning & AI

Why comparisons between AI and human intelligence miss the point

Claims that artificial intelligence (AI) is on the verge of surpassing human intelligence have become commonplace. According to some commentators, rapid advances in large language models signal an imminent tipping point—often ...

Machine learning & AI

OpenClaw's AI agent does everything, even social media

Meet OpenClaw: the AI assistant that promised to be your dream intern, terrified cybersecurity experts, and now thrives on chatbot-only social media—all in just a few weeks.

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