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.

Consumer & Gadgets

Pocket-size AI: Powerful phones star at China show

Tech firms are racing to roll out advanced smartphones that use artificial intelligence to do everything from ordering food to composing messages with a simple voice command.

Machine learning & AI

Startups bet on AI—and a leaner future

When Eric Lauer needs to hire at Giftory, the online gift-giving platform he runs, he's no longer looking for eager young coders fresh out of college.

Machine learning & AI

Q&A: Neural transparency and the future of AI design

Millions of people are now designing their own personalized artificial intelligence companions, yet most have little idea how those creations will actually behave. In a new paper, MIT Media Lab Assistant Professor Pat Pataranutaporn ...

page 1 from 32