May 19th
Shiri Ron, Cake Cutting
S. Brânzei, and N. Nisan, The Communication Complexity of Cake Cutting
presentation slides
Guy Kornowski, Lower Bounds for Adaptive Data Analysis
M. Hardt and J. Ullman, Preventing False Discovery in Interactive Data Analysis is Hard
T. Steinke and J. Ullman, Interactive Fingerprinting Codes and the Hardness of Preventing False Discovery
presentation slides
May 26th
Tal Skverer, How to Use Heuristics for Differential Privacy
S. Neel, A. Roth, Z. S. Wu, How to Use Heuristics for Differential Privacy
presentation slides
Yonatan Bachar, A Unified Approach to Interpreting Model Predictions
S. M. Lundberg and Su-In Lee, A Unified Approach to Interpreting Model Predictions, NeuroIPS 2017. Talk on Explainable AI for Science and Medicine
presentation slides
June 2nd
Amit Lavon, Privacy and the notion of “singling out”
A. Cohen and K. Nissim, Towards Formalizing The GDPR’s Notion of Singling Out
presentation slides
Irad Zehavi, Data Shapley: Equitable Valuation of Data for Machine Learning
A. Ghorbani and J. Zou, Data Shapley: Equitable Valuation of Data for Machine Learning, ICML 2019. Talk at Simons Workshop.
presentation slides
June 9th
Oz Frank, Moral Machine and friends
A. M. Turing, Computing Machinery and Intelligence
E. Awad, S. Dsouza, R. Kim, J. Schulz, J. Henrich, A. Shariff, J.-F. Bonnefon, I. Rahwan, The Moral Machine experiment
E. Awad, S. Dsouza, A. Shariff, J.-F. Bonnefon, I. Rahwan, Crowdsourcing moral machines
E. Awad, S. Dsouza, A. Shariff, I. Rahwan, J.-F. Bonnefon, Universals and variations in moral decisions made in 42 countries by 70,000 participants
presentation slides
Asaf Benjamin, IBM's Debator
Slonim et al, The Debator: An autonomous debating system
presentation slides
June 16th
Yonatan Sverdlov, Racial bias in medical predictions
E. Pierson, D. M. Cutler, J. Leskovec, S. Mullainathan, Z.Obermeyer, An algorithmic approach to reducing unexplained pain disparities in underserved populations
Z. Obermeyer, B. Powers, C. Vogeli and S. Mullainathan, Dissecting racial bias in an algorithm used to manage the health of populations
presentation slides
Amit Avekasis, Bias in word embeddings / NLP II
A. Caliskan, J. J. Bryson and A. Narayanan, Semantics derived automatically from language corpora contain human-like biases
A. Abid, M. Farooqi and J. Zou, Persistent Anti-Muslim Bias in Large Language Models
presentation slides
June 23rd
Guy Goldberg, How (not) to test an expert forecaster
A. Sandroni, The Reproducible Properties of Correct Forecasts
presentation slides
Meirav Segal, Fairness dynamics
L. Hu, Y. Chen, A short-term intervention for long-term fairness in the labor market
C. Jung, S. Kannan, C. Lee, M. M. Pai, A. Roth, R. Vohra, Fair Prediction with Endogenous Behavior
L. T. Liu, S. Dean, E. Rolf, M. Simchowitz, M. Hardt, Delayed Impact of Fair Machine Learning
presentation slides
June 30th
Bar Karov, Adversarial Perturbations of Opinion Dynamics in Networks
J. Gaitonde, J. Kleinberg and E. Tardos, Adversarial Perturbations of Opinion Dynamics in Networks
presentation slides
Tal Herman, Algorithmic monoculture and social welfare
J. Kleinberg and M. Raghavan, Algorithmic Monoculture and Social Welfare
presentation slides
July 7th
Iris Kalka, Fairness beyond demographics
J. Chen, N. Kallus, X. Mao, G. Svacha, M. Udell, Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved
N. Kallus, X. Mao, A. Zhou, Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination