Michael A. Katell

Orcid: 0000-0003-2200-6246

Affiliations:
  • Alan Turing Institute, London, UK
  • University of Washington, Seattle, USA (former)


According to our database1, Michael A. Katell authored at least 22 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Fair by design: A sociotechnical approach to justifying the fairness of AI-enabled systems across the lifecycle.
CoRR, 2024

AI Sustainability in Practice Part Two: Sustainability Throughout the AI Workflow.
CoRR, 2024

AI Ethics and Governance in Practice: An Introduction.
CoRR, 2024

AI Fairness in Practice.
CoRR, 2024

AI Sustainability in Practice Part One: Foundations for Sustainable AI Projects.
CoRR, 2024

Mapping the individual, social and biospheric impacts of Foundation Models.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2022
Data Justice in Practice: A Guide for Developers.
CoRR, 2022

Data Justice Stories: A Repository of Case Studies.
CoRR, 2022

Advancing Data Justice Research and Practice: An Integrated Literature Review.
CoRR, 2022

Human rights, democracy, and the rule of law assurance framework for AI systems: A proposal.
CoRR, 2022

Confronting Power and Corporate Capture at the FAccT Conference.
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?
Interactions, 2021

Artificial intelligence, human rights, democracy, and the rule of law: a primer.
CoRR, 2021

An Action-Oriented AI Policy Toolkit for Technology Audits by Community Advocates and Activists.
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.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
Toward situated interventions for algorithmic equity: lessons from the field.
Proceedings of the FAT* '20: Conference on Fairness, 2020

Defining AI in Policy versus Practice.
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019
Municipal surveillance regulation and algorithmic accountability.
Big Data Soc., July, 2019

An Algorithmic Equity Toolkit for Technology Audits by Community Advocates and Activists.
CoRR, 2019

2018
Algorithmic reputation and information equity.
Proceedings of the Building & Sustaining an Ethical Future with Emerging Technology, 2018

2016
A Fair Exchange: Exploring How Online Privacy is Valued.
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.
Proceedings of the 48th Hawaii International Conference on System Sciences, 2015


  Loading...