We study the complex societal implications of artificial intelligence (AI), machine learning (ML), and natural language processing (NLP). Our aim is to facilitate computational techniques that are both innovative and responsible, while prioritizing issues of fairness, accountability, transparency, and ethics as they relate to AI, ML, and NLP by drawing on fields with a sociotechnical orientation, such as HCI, information science, sociology, anthropology, science and technology studies, media studies, political science, and law.
We are committed to working closely with external research institutions, including the AI Now Institute at New York University, Data & Society, and the Partnership on AI, as well as other research groups within Microsoft, such as the Social Media Collective. We publish our work in a variety of academic and other venues.