Projects
Established:
The mission of Real World Reinforcement Learning (Real-World RL) team is to develop learning methods, from foundations to real world applications, to empower people and organizations to make better decisions. The research enables the next generation of machine learning using…
By understanding human decisions at a granular level, Maia can help identify a player’s strengths and weaknesses, with the goal of helping them learn and improve their gameplay.
Established:
If search and Twitter data are to be treated as a survey, they would follow a very peculiar methodology: participation is a time-varying, demographically biased sample of the population, participants are effectively continuously answering different “survey” questions, and, finally, participants…
Established:
This project examines issues around AI FATE (Fairness, Accountability, Transparency, and Ethics) and Responsible AI, with a particular focus on how AI systems impact people with disabilities. This includes ensuring that mainstream AI tools are inclusively designed such that they…
Project Ratio tracks and maps the news ecosystem from start to finish: production, distribution, consumption, absorption, and impact of news.
The AI Fairness Checklist’s goal is to conduct an iterative co-design process with 48 AI practitioners across 12 technology companies to understand the role of checklists in AI ethics, focusing on fairness.
Datasheets help dataset creators uncover sources of bias or hidden assumptions and help dataset consumers determine if a dataset meets their needs.
Datamations are powerful animations that show the story of how data are sliced, sifted, and transformed on their way to the final visualization.
Established:
The Perspective Engine is an AI tool that automates the process of putting giant and unfamiliar numbers into familiar context. It is already live in Bing, where it improves the answer to questions like "How big is Afghanistan?" by supplementing…