Page 7: Research news on Human-centered AI interfaces

Human-centered AI interfaces encompass computational systems that use machine learning, generative models, and multimodal sensing to mediate, augment, or interpret human communication and behavior. Work in this area spans assistive communication for speech, hearing, and motor impairments, real-time sign language and speech technologies, and social robots that adapt behavior and express empathy. Vision-language models and video analytics support long-video reasoning, activity recognition, and error detection, while interactive agents, privacy-aware speech systems, and affect-sensitive tools enable more accessible, expressive, and context-aware human–AI interaction across physical and virtual environments.

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 ...

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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