P. M. Krafft

19 papers A 1C 2Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
From Tech Lash to Tech Fash: Strategic Reflections on a Decade of Collective Organizing in Computing.
Aarhus Conference (Adjunct)
Linda Huber, Pedro Reynolds-Cuéllar, Alicia DeVrio, Jensine Raihan, Cella Monet Sum, Lynn Dombrowski, Justine Zhang, Christoph B. Becker, Lilly Irani, P. M. Krafft, Margaret Hughes
2024 J jnl
Performing Platform Governance: Facebook and the Stage Management of Data Relations.
Sci. Eng. Ethics
Karen Huang, P. M. Krafft
2023 J jnl
Does big data serve policy? Not without context. An experiment with in silico social science.
Comput. Math. Organ. Theory
Christopher Graziul, Alexander Belikov, Ishanu Chattopadhyay, Ziwen Chen, Hongbo Fang, Anuraag Girdhar, Xiaoshuang Jia, P. M. Krafft, Max Kleiman-Weiner, Candice Lewis, Chen Liang, John Muchovej, Alejandro Vientós, Meg Young, James A. Evans
2022 J jnl
Bias amplification in experimental social networks is reduced by resampling.
CoRR
Mathew D. Hardy, Bill D. Thompson, P. M. Krafft, Thomas L. Griffiths
2022 — conf
Confronting Power and Corporate Capture at the FAccT Conference.
FAccT
Meg Young, Michael A. Katell, P. M. Krafft
2022 J jnl
Flexible social inference facilitates targeted social learning when rewards are not observable.
CoRR
Robert D. Hawkins, Andrew M. Berdahl, Alex 'Sandy' Pentland, Joshua B. Tenenbaum, Noah D. Goodman, P. M. Krafft
2022 — conf
Solidarity and Disruption Collective Organizing In Computing II.
CSCW Companion
Linda Huber, Pedro Reynolds-Cuéllar, Eunjeong Cheon, P. M. Krafft, Christoph Becker, Danny Spitzberg, Aakash Gautam, Margaret Hughes, Alex A. Ahmed
2021 J jnl
Accuracy-Risk Trade-Off Due to Social Learning in Crowd-Sourced Financial Predictions.
Entropy
Dhaval Adjodah, Yan Leng, Shi Kai Chong, P. M. Krafft, Esteban Moro, Alex Pentland
2021 — conf
An Action-Oriented AI Policy Toolkit for Technology Audits by Community Advocates and Activists.
FAccT
P. M. Krafft, Meg Young, Michael A. Katell, Jennifer E. Lee, Shankar Narayan, Micah Epstein, Dharma Dailey, Bernease Herman, Aaron Tam, Vivian Guetler, Corinne Bintz, Daniella Raz, Pa Ousman Jobe, Franziska Putz, Brian Robick, Bissan Barghouti
2021 C conf
Face Mis-ID: An Interactive Pedagogical Tool Demonstrating Disparate Accuracy Rates in Facial Recognition.
AIES
Daniella Raz, Corinne Bintz, Vivian Guetler, Aaron Tam, Michael A. Katell, Dharma Dailey, Bernease Herman, P. M. Krafft, Meg Young
2021 J jnl
Power and technology: who gets to make the decisions?
Interactions
Jennifer E. Lee, Meg Young, P. M. Krafft, Michael A. Katell
2020 C conf
Defining AI in Policy versus Practice.
AIES
P. M. Krafft, Meg Young, Michael A. Katell, Karen Huang, Ghislain Bugingo
2020 A conf
Leveraging Communication Topologies Between Learning Agents in Deep Reinforcement Learning.
AAMAS
Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey, Anirudh Goyal, P. M. Krafft, Esteban Moro, Alex Pentland
2020 — conf
Toward situated interventions for algorithmic equity: lessons from the field.
FAT*
Michael A. Katell, Meg Young, Dharma Dailey, Bernease Herman, Vivian Guetler, Aaron Tam, Corinne Bintz, Daniella Raz, P. M. Krafft
2020 J jnl
Visual Narratives and Collective Memory across Peer-Produced Accounts of Contested Sociopolitical Events.
ACM Trans. Soc. Comput.
Emily Porter, P. M. Krafft, Brian Keegan
2019 J jnl
"This Place Does What It Was Built For": Designing Digital Institutions for Participatory Change.
Proc. ACM Hum. Comput. Interact.
Seth Frey, P. M. Krafft, Brian C. Keegan
2019 J jnl
An Algorithmic Equity Toolkit for Technology Audits by Community Advocates and Activists.
CoRR
Michael A. Katell, Meg Young, Bernease Herman, Dharma Dailey, Aaron Tam, Vivian Guetler, Corinne Bintz, Daniella Raz, P. M. Krafft
2019 J jnl
Defining AI in Policy versus Practice.
CoRR
P. M. Krafft, Meg Young, Michael A. Katell, Karen Huang, Ghislain Bugingo
2019 J jnl
Municipal surveillance regulation and algorithmic accountability.
Big Data Soc.
Meg Young, Michael A. Katell, P. M. Krafft