The Human-AI eXperiences (HAX) Team
Creating the next generation of AI-based systems and experiences
Microsoft Research Blog
Microsoft Research Forum Episode 3: Globally inclusive and equitable AI, new use cases for AI, and more
“We’re at the very early stage of generative AI and the impacts it will have on work. This is a fast-moving field, and there’s an immense opportunity to take control of the agenda and build truly globally equitable AI systems”,…
AutoGen: Enabling next-generation large language model applications
Microsoft researchers are introducing AutoGen, a framework for simplifying the orchestration, optimization, and automation of workflows for large language model (LLM) applications—potentially transforming and extending what LLMs can do.
Research Collection: Research Supporting Responsible AI
Microsoft is committed to the advancement and use of AI grounded in principles that put people first and benefit society. We are putting these principles into practice throughout the company by embracing diverse perspectives, fostering continuous learning, and proactively responding…
Guidelines for human-AI interaction design
| Saleema Amershi, Mihaela Vorvoreanu, et Eric Horvitz
The increasing availability and accuracy of AI has stimulated uses of AI technologies in mainstream user-facing applications and services. Along with opportunities for infusing valuable AI services in a wide range of products come challenges and questions about best practices…