Michiel A. Bakker

Orcid: 0000-0003-4474-7109

According to our database1, Michiel A. Bakker authored at least 20 papers between 2019 and 2025.

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Bibliography

2025
Scaling Human Judgment in Community Notes with LLMs.
CoRR, June, 2025

Value Profiles for Encoding Human Variation.
CoRR, March, 2025

Language Agents as Digital Representatives in Collective Decision-Making.
CoRR, February, 2025

Supernotes: Driving Consensus in Crowd-Sourced Fact-Checking.
Proceedings of the ACM on Web Conference 2025, 2025

Using collective dialogues and AI to find common ground between Israeli and Palestinian peacebuilders.
Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

2024
AI and the Future of Digital Public Squares.
CoRR, 2024

How will advanced AI systems impact democracy?
CoRR, 2024

2022
Fine-tuning language models to find agreement among humans with diverse preferences.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Statistical discrimination in learning agents.
CoRR, 2021

Modelling Cooperation in Network Games with Spatio-Temporal Complexity.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Beyond Reasonable Doubt: Improving Fairness in Budget-Constrained Decision Making using Confidence Thresholds.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
Assessing Disease Exposure Risk With Location Histories And Protecting Privacy: A Cryptographic Approach In Response To A Global Pandemic.
CoRR, 2020

Algorithmic targeting of social policies: fairness, accuracy, and distributed governance.
Proceedings of the FAT* '20: Conference on Fairness, 2020

Fair Enough: Improving Fairness in Budget-Constrained Decision Making Using Confidence Thresholds.
Proceedings of the Workshop on Artificial Intelligence Safety, 2020

2019
DADI: Dynamic Discovery of Fair Information with Adversarial Reinforcement Learning.
CoRR, 2019

Sherlock: A Deep Learning Approach to Semantic Data Type Detection.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

VizML: A Machine Learning Approach to Visualization Recommendation.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Active Fairness in Algorithmic Decision Making.
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

Measuring Fine-Grained Multidimensional Integration Using Mobile Phone Metadata: The Case of Syrian Refugees in Turkey.
Proceedings of the Guide to Mobile Data Analytics in Refugee Scenarios, 2019


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