Donald Martin, Jr.
Donald Martin, Jr. is Head of Societal Context Understanding Tools & Solutions, Responsible AI & Human-Centered Technology at Google Research. He focuses on driving equitable innovation in the spaces where Google's products and services interact with society and understanding the intersections between Trust and Safety, Machine Learning (ML) Fairness and Ethical Artificial Intelligence (AI). He holds a Bachelor of Science degree in Electrical Engineering from the University of Colorado at Denver and founded its National Society of Black Engineers (NSBE) chapter. Donald has over 30 years of technology leadership experience in the telecommunications and information technology industries. He has held CIO, CTO, COO, and product manager positions at global software development companies and telecommunications service providers. Donald holds a US utility patent for "problem modeling in resource optimization." His most recent publication is the Harvard Business Review article "AI Engineers Need to Think Beyond Engineering.”
Authored Publications
Sort By
Google
Health equity assessment of machine learning performance (HEAL): a framework and dermatology AI model case study
Terry Spitz
Malcolm Chelliah
Heather Cole-Lewis
Stephanie Farquhar
Qinghan Xue
Jenna Lester
Cían Hughes
Patricia Strachan
Fraser Tan
Peggy Bui
Craig Mermel
Lily Peng
Sunny Virmani
Ivor Horn
Cameron Chen
The Lancet eClinicalMedicine (2024)
Advancing Community Engaged Approaches to Identifying Structural Drivers of Racial Bias in Health Diagnostic Algorithms
Jill Kuhlberg
Irene Headen
Ellis Ballard
International Conference of the System Dynamics Society, International Conference of the System Dynamics Society (2020)
Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context
Jill Kuhlberg
William Samuel Isaac
arXiv (2020), pp. 11
Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics
Jill Kuhlberg
William Samuel Isaac
Machine Learning in Real Life (ML-IRL) ICLR 2020 Workshop (2020), pp. 6
