Hi! I'm an Assistant Professor at MIT with appointments in the Institute for Data, Systems, and Society (IDSS), the business school (Sloan), and the Center for Constructive Communication (CCC) in the MIT Media Lab. I'm also a Senior Research Scientist at Google DeepMind.
My research focuses on large language models (LLMs), AI safety, the societal impacts of AI, and AI's role in both human-human and human-computer interaction. If you're a student and would like to work with me, I'd love to hear from you via [last name] [at] mit [dot] edu.
Previously, I was a Computer Science PhD student at MIT, working with Alex "Sandy" Pentland at the MIT Media Lab. I also hold a bachelor's and master's degree in physics from TU Delft, where I worked on quantum computing at QuTech and IBM Quantum.
Most recent publications on Google Scholar.
‡ indicates equal contribution.
Supernotes: Driving Consensus in Crowd-Sourced Fact-Checking
Soham De, Michiel A. Bakker, Jay Baxter, Martin Saveski
arXiv preprint. 2024.
AI can help humans find common ground in democratic deliberation
Michael Henry Tessler‡, Michiel A. Bakker‡, Daniel Jarrett, Hannah Sheahan, Martin J. Chadwick, Raphael Koster, Georgina Evans, Lucy Campbell-Gillingham, Tantum Collins, David C. Parkes, Matthew Botvinick, Christopher Summerfield
Science. 2024.
How large language models can reshape collective intelligence
Jason W. Burton, Ezequiel Lopez-Lopez, Shahar Hechtlinger, Zoe Rahwan, Samuel Aeschbach, Michiel A. Bakker, Joshua A. Becker, Aleks Berditchevskaia, Julian Berger, Levin Brinkmann, Lucie Flek, Stefan M. Herzog, Saffron Huang, Sayash Kapoor, Arvind Narayanan, Anne-Marie Nussberger, Taha Yasseri, Pietro Nickl, Abdullah Almaatouq, Ulrike Hahn, Ralf H. J. M. Kurvers, Susan Leavy, Iyad Rahwan, Divya Siddarth, Alice Siu, Anita W. Woolley, Dirk U. Wulff, Ralph Hertwig
Nature Human Behavior. 2024.
How will advanced AI systems impact democracy?
Christopher Summerfield, Lisa Argyle, Michiel A. Bakker, Teddy Collins, Esin Durmus, Tyna Eloundou, Iason Gabriel, Deep Ganguli, Kobi Hackenburg, Gillian Hadfield, Luke Hewitt, Saffron Huang, Helene Landemore, Nahema Marchal, Aviv Ovadya, Ariel Procaccia, Mathias Risse, Bruce Schneier, Elizabeth Seger, Divya Siddarth, Henrik Skaug Sætra, Michael Henry Tessler, Matthew Botvinick
arXiv preprint. 2024.
Language agents as digital representatives in collective decision-making
Daniel Jarrett, Miruna Pislar, Michiel A. Bakker, Michael Henry Tessler, Raphael Koster, Jan Balaguer, Romuald Elie, Christopher Summerfield, Andrea Tacchetti
NeurIPS'23 Workshop on Foundation Models for Decision Making. 2023.
Scaffolding cooperation in human groups with deep reinforcement learning
Kevin McKee, Andrea Tacchetti, Michiel A. Bakker, Jan Balaguer, Lucy Campbell-Gillingham, Richard Everett, Matthew M. Botvinick
Nature Human Behavior. 2023.
Fine-tuning language models to find agreement among humans with diverse preferences
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, Christopher Summerfield
NeurIPS'22: Advances in Neural Information Processing Systems. 2022.
Beyond Reasonable Doubt: Improving Fairness in Budget-Constrained Decision Making using Confidence Thresholds
Michiel A. Bakker, Duy Patrick Tu, Krishna P. Gummadi, Alex Pentland, Kush R. Varshney, Adrian Weller
AIES'21: Fifth AAAI/ACM Conference on AI, Ethics, and Society. 2021.
Active Fairness in Algorithmic Decision Making
Alejandro Noriega-Campero‡, Michiel A. Bakker‡, Bernardo Garcia-Bulle, Alex Pentland
AIES'19: Third AAAI/ACM Conference on AI, Ethics, and Society. 2019.
AI and the Future of Digital Public Squares
Beth Goldberg, Diana Acosta-Navas, Michiel A. Bakker, Ian Beacock, Matt Botvinick, Prateek Buch, Renée DiResta, Nandika Donthi, Nathanael Fast, Ravi Iyer, Zaria Jalan, Andrew Konya, Grace Kwak Danciu, Hélène Landemore, Alice Marwick, Carl Miller, Aviv Ovadya, Emily Saltz, Lisa Schirch, Dalit Shalom, Divya Siddarth, Felix Sieker, Christopher Small, Jonathan Stray, Audrey Tang, Michael Henry Tessler, Amy Zhang
arXiv preprint. 2024.
Supernotes: Driving Consensus in Crowd-Sourced Fact-Checking
Soham De, Michiel A. Bakker, Jay Baxter, Martin Saveski
arXiv preprint. 2024.
AI can help humans find common ground in democratic deliberation
Michael Henry Tessler‡, Michiel A. Bakker‡, Daniel Jarrett, Hannah Sheahan, Martin J. Chadwick, Raphael Koster, Georgina Evans, Lucy Campbell-Gillingham, Tantum Collins, David C. Parkes, Matthew Botvinick, Christopher Summerfield
Science. 2024.
How large language models can reshape collective intelligence
Jason W. Burton, Ezequiel Lopez-Lopez, Shahar Hechtlinger, Zoe Rahwan, Samuel Aeschbach, Michiel A. Bakker, Joshua A. Becker, Aleks Berditchevskaia, Julian Berger, Levin Brinkmann, Lucie Flek, Stefan M. Herzog, Saffron Huang, Sayash Kapoor, Arvind Narayanan, Anne-Marie Nussberger, Taha Yasseri, Pietro Nickl, Abdullah Almaatouq, Ulrike Hahn, Ralf H. J. M. Kurvers, Susan Leavy, Iyad Rahwan, Divya Siddarth, Alice Siu, Anita W. Woolley, Dirk U. Wulff, Ralph Hertwig
Nature Human Behavior. 2024.
How will advanced AI systems impact democracy?
Christopher Summerfield, Lisa Argyle, Michiel A. Bakker, Teddy Collins, Esin Durmus, Tyna Eloundou, Iason Gabriel, Deep Ganguli, Kobi Hackenburg, Gillian Hadfield, Luke Hewitt, Saffron Huang, Helene Landemore, Nahema Marchal, Aviv Ovadya, Ariel Procaccia, Mathias Risse, Bruce Schneier, Elizabeth Seger, Divya Siddarth, Henrik Skaug Sætra, Michael Henry Tessler, Matthew Botvinick
arXiv preprint. 2024.
Statistical discrimination in learning agents
Edgar A. Duenez-Guzman, Kevin R. McKee, Yiran Mao, Ben Coppin, Silvia Chiappa, Alexander Sasha Vezhnevets, Michiel A. Bakker, Yoram Bachrach, Suzanne Sadedin, William Isaac, Karl Tuyls, Joel Z. Leibo
Proceedings of the National Academy of Sciences (PNAS). 2024.
Language agents as digital representatives in collective decision-making
Daniel Jarrett, Miruna Pislar, Michiel A. Bakker, Michael Henry Tessler, Raphael Koster, Jan Balaguer, Romuald Elie, Christopher Summerfield, Andrea Tacchetti
NeurIPS'23 Workshop on Foundation Models for Decision Making. 2023.
Scaffolding cooperation in human groups with deep reinforcement learning
Kevin McKee, Andrea Tacchetti, Michiel A. Bakker, Jan Balaguer, Lucy Campbell-Gillingham, Richard Everett, Matthew M. Botvinick
Nature Human Behavior. 2023.
Fine-tuning language models to find agreement among humans with diverse preferences
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, Christopher Summerfield
NeurIPS'22: Advances in Neural Information Processing Systems. 2022.
Quantifying the importance and location of SARS-CoV-2 transmission events in large metropolitan areas
Alberto Aleta, 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, Esteban Moro
Proceedings of the National Academy of Sciences (PNAS). 2022.
Modelling Cooperation in Network Games with Spatio-Temporal Complexity
Michiel A. Bakker‡, Richard Everett‡, Laura Weidinger, Iason Gabriel, William S. Isaac, Joel Z. Leibo, Edward Hughes
AAMAS'21: Conference on Autonomous Agents and Multiagent Systems. 2021.
Beyond Reasonable Doubt: Improving Fairness in Budget-Constrained Decision Making using Confidence Thresholds
Michiel A. Bakker, Duy Patrick Tu, Krishna P. Gummadi, Alex Pentland, Kush R. Varshney, Adrian Weller
AIES'21: Fifth AAAI/ACM Conference on AI, Ethics, and Society. 2021.
Algorithmic Targeting of Social Policies: Fairness, Accuracy, and Distributed Governance
Alejandro Noriega-Campero, Bernardo Garcia Bulle-Bueno, Luis Fernando Cantu, Michiel A. Bakker, Alex Pentland
FAccT‡'20: ACM Conference on Fairness, Accountability, and Transparency. 2020.
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository
Kevin Z. Hu, Neil Gaikwad, Madelon Hulsebos, Michiel A. Bakker, Emanuel Zgraggen, César A Hidalgo, Tim Kraska, Guoliang Li, Arvind Satyanarayan, Cagatay Demiralp
CHI'19: Conference on Human Factors in Computing Systems. 2019.
Sherlock: A Deep Learning Approach to Semantic Data Type Detection
Madelon Hulsebos‡, Kevin Z. Hu‡, Michiel A. Bakker, Emanuel Zgraggen, Tim Kraska, César A Hidalgo, Çagatay Demiralp
KDD'19: Conference on Knowledge Discovery and Data Mining. 2019.
VizML: A Machine Learning Approach to Visualization Recommendation
Kevin Z. Hu, Michiel A. Bakker, Stephen Li, Tim Kraska, César A. Hidalgo
CHI'19: Conference on Human Factors in Computing Systems. 2019.
Atomic-scale imaging of a 27-nuclear-spin cluster using a quantum sensor
Mohamed H. Abobeih, Joe Randall, Conor E. Bradley, Hans P. Bartling, Michiel A. Bakker, Maarten J. Degen, Mark Markham, Daniel J. Twitchen, Tim H. Taminiau
Nature. 2019.
A 10-qubit solid-state spin register with quantum memory up to one minute
Conor E. Bradley, Joe Randall, Mohamed H. Abobeih, Remon C. Berrevoets, Maarten J. Degen, Michiel A. Bakker, Mark Markham, Daniel J. Twitchen, Tim H. Taminiau
Physical Review X. 2019.
Measuring fine-grained multidimensional integration using mobile phone metadata: the case of Syrian refugees in Turkey
Michiel A. Bakker, Daoud A. Piracha, Patricia J. Lu, Keis Bejgo, Mohsen Bahrami, Yan Leng, Jose Balsa-Barreiro, Julie Ricard, Alfredo J.Morales, Vivek K. Singh, Burcin Bozkaya, Selim Balcisoy, Alex Pentland
Guide to Mobile Data Analytics in Refugee Scenarios, Springer. 2019.
DADI: Dynamic Discovery of Fair Information with Adversarial Reinforcement Learning
Michiel A. Bakker, Duy Patrick Tu, Humberto Riverón Valdés, Krishna P. Gummadi, Kush R. Varshney, Adrian Weller, Alex Pentland
NeurIPS Workshop on Human-Centric Machine Learning. 2019.
Active Fairness in Algorithmic Decision Making
Alejandro Noriega-Campero‡, Michiel A. Bakker‡, Bernardo Garcia-Bulle, Alex Pentland
AIES'19: Third AAAI/ACM Conference on AI, Ethics, and Society. 2019.
On Fairness in Budget-Constrained Decision Making
Michiel A. Bakker, Humberto Riverón Valdés, Duy Patrick Tu, Krishna P. Gummadi, Kush R. Varshney, Adrian Weller, Alex Pentland
KDD Workshop on Explainable AI. 2019.
One-second coherence for a single electron spin coupled to a multi-qubit nuclear-spin environment
Mohamed H. Abobeih, Julia Cramer, Michiel A. Bakker, Norbert Kalb, Daniel J. Twitchen, Matthew Markham, Tim H. Taminiau
Nature Communications. 2018.
Prediction Propagation for Domain Adaptation
Bjarke Felbo‡, Michiel A. Bakker‡, Abhimanyu Dubey, Sadhika S. Malladi, Alex Pentland, Iyad Rahwan
ICML 2018 Workshop on Learning with Limited Labels. 2018.
Validity of the single-particle description and noise resilience for multielectron quantum dots
Michiel A. Bakker‡, Sebastian Mehl‡, Tuukka Hiltunen, David P. DiVincenzo
Physical Review B. 2015.
Tipsy single soft photon detector and Trixy ultrafast tracking detector
Harry van der Graaf, Michiel A. Bakker, Hong W. Chan, Eduardo Charbon, Fabio Santagata, Pasqualina M. Sarro, Dennis R. Schaart
Journal of Instrumentation. 2013.
Full Resume in PDF.