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The AI2050 Senior Fellowship supports established leaders who have made significant contributions to their field. Senior Fellows are highly accomplished individuals working on approaches for increasing the beneficial promise of AI. The breadth of their collective projects showcases the range of work that will be critical to answer the AI2050 motivating question.
A new class of Senior Fellows is awarded each year. Senior Fellows receive a three year award to work on specific projects that advance the AI2050 motivating question. Their projects are often ambitious, hard-to-fund through traditional sources, interdisciplinary, and innovative. AI2050 generally reserves 5 awards each year, but in some cycles has had such an extraordinary pool that the initiative gives more than five awards. AI2050 Senior Fellows are selected using a closed nominations process, so there is no application.
David Autor
Daniel (1972) and Gail Rubinfeld Professor, Massachusetts Institute of Technology
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The AI2050 Early Career Fellowship is an enabling fellowship to encourage postdoctoral and pre-tenure researchers from around the world to pursue bold and ambitious work on hard problems in AI, which often is multidisciplinary and typically hard to fund. Each year, AI2050 generally reserves 15 awards, but in some cycles the initiative has had such an extraordinary pool that it names more than fifteen fellows.
Early Career Fellows receive an award to support a three year project that advances their research and receive non-monetary support, such as connections to stakeholders to help them advance their research and amplify its results. AI2050 Early Career Fellows are selected using a closed nomination process, so there is no application.
Daniela Rus
Andrew (1956) and Erna Viterbi Professor, Massachusetts Institute of Technology
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