Faculty
Michiel Bakker is an AI safety researcher and computational social scientist focusing on AI alignment, societal impacts of AI, and AI’s role in human-human and human-computer interaction. He is an Assistant Professor at the MIT Sloan School of Management, and affiliated with MIT’s Institute for Data, Systems & Society and the MIT Center for Constructive Communication based at the MIT Media Lab. Michiel is also a senior research scientist at Google DeepMind. He holds a Master’s and PhD degree in computer science from MIT, and a Bachelor’s and Master’s degree in physics from Delft University of Technology.
Duéñez-Guzmán, Edgar A., Kevin R. McKee, Yiran Mao, Ben Coppin, Silvia Chiappa, Alexander Sasha Vezhnevets, Michiel A. Bakker, Yoram Bachrach, Suzanne Sadedin, William Isaac, Karl Tuyls, and Joel Z. Leibo. Proceedings of the National Academy of Sciences. Forthcoming. arXiv Preprint.
Tessler, Michael Henry, Michiel A. Bakker, Daniel Jarrett, Hannah Sheahan, Martin J. Chadwick, Raphael Koster, Georgina Evans, Lucy Campbell-Gillingham, Tantum Collins, David C. Parkes, Matthew Botvinick, and Christopher Summerfield. Science Vol. 386, No. 6719 (2024): eadq2852.
Burton, Jason W., Ezequiel Lopez-Lopez, Shahar Hechtlinger, Zoe Rahwan, Samuel Aeschbach, Michiel A. Bakker, et al. Nature Human Behaviour Vol. 8, (2024): 1643-1655.
McKee, Kevin R., Andrea Tacchetti, Michiel A. Bakker, Jan Balaguer, Lucy Campbell-Gillingham, Richard Everett, and Matthew Botvinick. Nature Human Behavior Vol. 10, (2023): 1787-1796.
Michiel A. Bakker, Martin J. Chadwick, Hannah R. Sheahan, Michael Henry Tessler, Lucy Campbell-Gillingham, Jan Balaguer, Nat McAleese, Amelia Glaese, John Aslanides, Matthew M. Botvinick, and Christopher Summerfield. In Proceedings of the 36th International Conference on Neural Information Processing Systems, New Orleans, LA: November 2022.
Aleta, Alberto, David Martín-Corral, Michiel A. Bakker, Ana Pastore y Piontti, Marco Ajelli, Maria Litvinova, Matteo Chinazzi, Natalie E. Dean, M. Elizabeth Halloran, Ira M. Longini Jr, Alex Pentland, Alessandro Vespignani, Yamir Moreno, and Esteban Moro. Proceedings of the National Academy of Sciences Vol. 119, No. 26 (2022): e211218211.
MIT Sloan students have the opportunity to study generative AI management, analytics for digital platforms, and global energy economies in 2024 – 2025.
