Evaluating the ethics of autonomous systems
MIT researchers developed a testing framework that pinpoints situations where AI decision-support systems are not treating people and communities fairly.
MIT researchers developed a testing framework that pinpoints situations where AI decision-support systems are not treating people and communities fairly.
A new biohybrid system developed at MIT is the first living implant that uses rewired nerves to revive paralyzed organs.
By moving their hands and fingers, users can direct a robot to play piano or shoot a basketball, or they can manipulate objects in a virtual environment.
The portable “ChromoLCD” device combines LCD and LED lighting to customize high-quality designs onto things like shirts and whiteboards.
This new metric for measuring uncertainty could flag hallucinations and help users know whether to trust an AI model.
MIT computer science students design AI chatbots to help young users become more social, and socially confident.
A new approach could help users know whether to trust a model’s predictions in safety-critical applications like health care and autonomous driving.
To help generative AI models create durable, real-world accessories and decor, the PhysiOpt system runs physics simulations and makes subtle tweaks to its 3D blueprints.
The context of long-term conversations can cause an LLM to begin mirroring the user’s viewpoints, possibly reducing accuracy or creating a virtual echo-chamber.
EnCompass executes AI agent programs by backtracking and making multiple attempts, finding the best set of outputs generated by an LLM. It could help coders work with AI agents more efficiently.
Architecture students bring new forms of human-machine interaction into the kitchen.
“MorphoChrome,” developed at MIT, pairs software with a handheld device to make everyday objects iridescent.
New research demonstrates how AI models can be tested to ensure they don’t cause harm by revealing anonymized patient health data.
A new method could enable users to design portable medical devices, like a splint, that can be rapidly converted from flat panels to a 3D object without any tools.
Nineteen-year-old Freesia Gaul built a VR prototype thanks to MIT OpenCourseWare classes that provided “a solid foundation of knowledge and problem-solving abilities.”