Michael A. Katell

According to our database, Michael A. Katell authored at least 22 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fair by design: A sociotechnical approach to justifying the fairness of AI-enabled systems across the lifecycle.

Marten H. L. Kaas, Christopher Burr, Zoë Porter, Berk Ozturk, Philippa Ryan, Michael A. Katell, Nuala Polo, Kalle Westerling, Ibrahim Habli

CoRR, 2024

AI Sustainability in Practice Part Two: Sustainability Throughout the AI Workflow.

David Leslie, Cami Rincon, Morgan Briggs, Antonella Perini, Smera Jayadeva, Ann Borda, SJ Bennett, Christopher Burr, Mhairi Aitken, Michael A. Katell, Claudia Fischer, Janis Wong, Ismael Kherroubi Garcia

CoRR, 2024

AI Ethics and Governance in Practice: An Introduction.

David Leslie, Cami Rincon, Morgan Briggs, Antonella Perini, Smera Jayadeva, Ann Borda, SJ Bennett, Christopher Burr, Mhairi Aitken, Michael A. Katell, Claudia Fischer

CoRR, 2024

AI Fairness in Practice.

David Leslie, Cami Rincon, Morgan Briggs, Antonella Perini, Smera Jayadeva, Ann Borda, SJ Bennett, Christopher Burr, Mhairi Aitken, Michael A. Katell, Claudia Fischer, Janis Wong, Ismael Kherroubi Garcia

CoRR, 2024

AI Sustainability in Practice Part One: Foundations for Sustainable AI Projects.

David Leslie, Cami Rincon, Morgan Briggs, Antonella Perini, Smera Jayadeva, Ann Borda, SJ Bennett, Christopher Burr, Mhairi Aitken, Michael A. Katell, Claudia Fischer, Janis Wong, Ismael Kherroubi Garcia

CoRR, 2024

Mapping the individual, social and biospheric impacts of Foundation Models.

Andrés Domínguez Hernández, Shyam Krishna, Antonella Maia Perini, Michael A. Katell, SJ Bennett, Ann Borda, Youmna Hashem, Semeli Hadjiloizou, Sabeehah Mahomed, Smera Jayadeva, Mhairi Aitken, David Leslie

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2022

Data Justice in Practice: A Guide for Developers.

David Leslie, Michael A. Katell, Mhairi Aitken, Jatinder Singh, Morgan Briggs, Rosamund Powell, Cami Rincón, Antonella Perini, Smera Jayadeva, Christopher Burr

CoRR, 2022

Data Justice Stories: A Repository of Case Studies.

David Leslie, Morgan Briggs, Antonella Perini, Smera Jayadeva, Cami Rincón, Noopur Raval, Abeba Birhane, Rosamund Powell, Michael A. Katell, Mhairi Aitken

CoRR, 2022

Advancing Data Justice Research and Practice: An Integrated Literature Review.

David Leslie, Michael A. Katell, Mhairi Aitken, Jatinder Singh, Morgan Briggs, Rosamund Powell, Cami Rincón, Thompson Chengeta, Abeba Birhane, Antonella Perini, Smera Jayadeva, Anjali Mazumder

CoRR, 2022

Human rights, democracy, and the rule of law assurance framework for AI systems: A proposal.

David Leslie, Christopher Burr, Mhairi Aitken, Michael A. Katell, Morgan Briggs, Cami Rincon

CoRR, 2022

Confronting Power and Corporate Capture at the FAccT Conference.

Meg Young, Michael A. Katell, P. M. Krafft

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Power and technology: who gets to make the decisions?

Jennifer E. Lee, Meg Young, P. M. Krafft, Michael A. Katell

Interactions, 2021

Artificial intelligence, human rights, democracy, and the rule of law: a primer.

David Leslie, Christopher Burr, Mhairi Aitken, Josh Cowls, Michael A. Katell, Morgan Briggs

CoRR, 2021

An Action-Oriented AI Policy Toolkit for Technology Audits by Community Advocates and Activists.

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

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Face Mis-ID: An Interactive Pedagogical Tool Demonstrating Disparate Accuracy Rates in Facial Recognition.

Daniella Raz, Corinne Bintz, Vivian Guetler, Aaron Tam, Michael A. Katell, Dharma Dailey, Bernease Herman, P. M. Krafft, Meg Young

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Toward situated interventions for algorithmic equity: lessons from the field.

Michael A. Katell, Meg Young, Dharma Dailey, Bernease Herman, Vivian Guetler, Aaron Tam, Corinne Bintz, Daniella Raz, P. M. Krafft

Proceedings of the FAT* '20: Conference on Fairness, 2020

Defining AI in Policy versus Practice.

P. M. Krafft, Meg Young, Michael A. Katell, Karen Huang, Ghislain Bugingo

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019

Municipal surveillance regulation and algorithmic accountability.

Meg Young, Michael A. Katell, P. M. Krafft

Big Data Soc., July, 2019

An Algorithmic Equity Toolkit for Technology Audits by Community Advocates and Activists.

Michael A. Katell, Meg Young, Bernease Herman, Dharma Dailey, Aaron Tam, Vivian Guetler, Corinne Bintz, Daniella Raz, P. M. Krafft

CoRR, 2019

2018

Algorithmic reputation and information equity.

Michael A. Katell

Proceedings of the Building & Sustaining an Ethical Future with Emerging Technology, 2018

2016

A Fair Exchange: Exploring How Online Privacy is Valued.

Michael A. Katell, Sonali R. Mishra, Ligaya Scaff

Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

2015

Remade to Measure: Applying Impact Measurement Theory to Non-profit Organizations - A Case Study.

Michael A. Katell, Suzann Q. Parker, Travis J. Warren, Hazel Taylor

Proceedings of the 48th Hawaii International Conference on System Sciences, 2015