Microsoft Research Cambridge
People-Centric AI
Developing knowledge, model capabilities, and experiences that centre human values.
People-Centric AI develops knowledge, model capabilities, and experiences that enable human agency and skill, support creativity and collaboration, and ensure equitable representation and participation. We do this by blending research disciplines, design, and engineering. A key aim is to produce principles and insights to shape human-AI interaction, especially as models are given greater flexibility and control over the content and interfaces they generate, and as the practices and expectations of people using these systems evolve. We work closely with other areas and labs, and with product teams ranging from Xbox to E+D. For us, success means delivering AI-enabled experiences that empower all people while preserving and enhancing human capability and connection.
Our projects
- ENCODE: Activity-centric dynamic UX
- Collaborative AI: Evaluating human-AI interactions
- Game Intelligence: Leading innovation at the intersection of AI and gaming to empower creatives
- Tools for Thought (T4T): Better thinking through AI
- Teachable AI Experiences (Tai X): Achieving an equitable AI future through enable communities to influence AI models
Contact Siân Lindley and Katja Hofmann to learn more.