Research
The Office of Applied Research brings together experts in Machine Learning (ML) (including reinforcement learning and synthetic data generation), Large Language Models (LLM) (development, evaluation, and fine-tuning), and Human-Centered AI (such as collaboration intelligence and…
Microsoft is pleased to have over 150 accepted papers at NeurIPS 2025, scheduled for December 2–7, 2025, in San Diego, CA, USA.
As the Women in Machine Learning Workshop (WiML) marks its 20th annual gathering, cofounders, friends, and collaborators Jenn Wortman Vaughan and Hanna Wallach reflect on WiML’s evolution, navigating the field of ML, and their work…
Empowering religious communities is not only a matter of inclusion but also a business imperative. By understanding and addressing the unique requirements of faith-based organizations, we can ensure our technologies serve a broader spectrum of…
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…
Abstract: Large Language Models (LLMs) have achieved remarkable breakthroughs, yet their growing integration into humans’ everyday life raises important societal concerns. Incorporating diverse human values into these powerful generative models is critical for enhancing AI…
Promptions is a simple, flexible dynamic prompt middleware technique for AI that uses ephemeral UI. From a single, simple prompt, the system helps users steer the AI by suggesting parameterized choices as dynamically generated, ephemeral UI components. As…
Promptions (“Prompt” plus “options”) dynamically generates UI to help users steer AI responses more effectively. It’s simple, effective, and easily customizable, making it suitable for developers from individual vibe-coders to enterprise software engineers.
