Responsible AI

A behind-the-scenes account provides new details about the abrupt firing and reinstatement of OpenAI CEO Sam Altman in November 2023.

Even without explicit training in reasoning, large language models “think” in ways that may be more deliberate than previously understood.

A pair of papers investigate how increasingly human-like chatbots affect users’ emotions.

Students benefit from tutoring, but training tutors is expensive. A study shows that large language models can boost tutors’ effectiveness in real time.

The United States Copyright Office determined that existing laws are sufficient to decide whether a given AI-generated work is protected by copyright, making additional legislation unnecessary.

Large language models built by developers in China may, in some applications, be less useful outside that country because they avoid topics its government deems politically sensitive. A developer fine-tuned DeepSeek-R1 to widen its scope without degrading its overall performance.

A United States court delivered a major ruling that begins to answer the question whether, and under what conditions, training an AI system on copyrighted material is considered fair use that doesn’t require permission.

A viral deepfake video showed media superstars who appeared to support a cause — but it was made without their participation or permission.

Google revised its AI principles, reversing previous commitments to avoid work on weapons, surveillance, and other military applications beyond non-lethal uses like communications, logistics, and medicine.

Anthropic analyzed 1 million anonymized conversations between users and Claude 3.5 Sonnet. The study found that most people used the model for software development and also revealed malfunctions and jailbreaks.

As we approach 2025, my greatest hope for AI is that it will enable prosocial platforms that promote empathy, understanding, and collaboration rather than division.

Building a foundation model takes tremendous amounts of data. In the coming year, I hope we’ll enable models to learn more from less data.

Large language models that remember more hallucinate less.

Jailbreak prompts can prod a large language model (LLM) to overstep built-in boundaries, leading it to do things like respond to queries it was trained to refuse to answer. Researchers devised a way to further boost the probability that LLMs will respond in ways that respect such limits.

Two top AI companies changed their stances on military and intelligence applications.