Collab AI Research
How Microsoft is using science and research to invent the future of collaboration
Welcome to Collab AI
Collaboration is a central feature of how work gets done, involving coordination across people, tasks, and information sources. As AI systems increasingly contribute to shared workflows—synthesizing discussions, generating alternatives, maintaining context, and supporting group decision processes that unfold across both synchronous and asynchronous interaction—understanding how humans and AI function together in group settings has become a scientific and operational priority. This shift raises new questions about evolving intent, shared grounding, and how collective reasoning unfolds across time and modalities.
Collab AI serves as Microsoft’s research center dedicated to studying collaborative processes and building intelligent systems capable of participating in them. The work spans empirical studies of team interaction, computational models of shared context, dialogic representations that capture how knowledge is co‑created, and methods for enabling AI to engage in multi‑party alignment and decision‑making. Featured papers, talks, and research outputs explore emerging data, architectures, and evaluation frameworks for systems that operate not as single‑user tools, but as contributors to group activity.
Dive in to explore the science behind collaborative AI—and to engage with research aimed at creating intelligent systems that do more than assist individuals. The goal is AI that helps teams form collective purpose, sustain coherent dialogue, and work together more effectively than ever before across conversations, shared and co-authored artifacts, meetings, and organizational workflows.
Experiential Reinforcement Learning
Reinforcement Learning is at the core of building and improving frontier AI models and products. Yet most state-of-the-art RL methods learn primarily from outcomes: a scalar reward signal that says whether an attempt worked, not why it failed. Humans don’t learn that way. When you get better at collaborating, for example, it’s rarely by seeing success or failure alone; you talk through what went wrong, share context, and adjust together. Teamwork improves through reflection, not just outcomes.