New tool helps people choose the right method for evaluating AI models, MIT News

Saliency cards, developed at MIT and IBM, seek to describe a machine-learning model’s behavior and to help users quickly compare methods so they can choose the right one for their task.

MIT News Massachusetts Institute of Technology

Researchers from Stanford and Microsoft Introduce Self-Improving AI: Leveraging GPT-4 to Elevate Scaffolding Program Performance - MarkTechPost

Multiple AI models help robots execute complex plans more transparently, MIT News

New method uses crowdsourced feedback to help train robots, MIT News

MIT Researchers Develop AI Model to Solve University-Level Mathematics Problems

AI-generated characters for supporting personalized learning and well-being

AI in Risk Management: Key Use Cases

Unpacking the “black box” to build better AI models, MIT News

Future of Testing in Education: Artificial Intelligence - Center for American Progress

New tool helps people choose the right method for evaluating AI models

Artificial Intelligence : Definition, history and risks

AI hype is built on high test scores. Those tests are flawed.

Opportunities for Machine Learning and Artificial Intelligence to Advance Synthetic Drug Substance Process Development

20 Top Artificial Intelligence Certifications