Summary contributed by Abhishek Gupta (@atg_abhishek), Founder and Principal Researcher of the Montreal AI Ethics Institute. His book Actionable AI Ethics will be published in 2021. This piece is part of a series of … [Read more...] about Disability, Bias, and AI (Research Summary)
Design
Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science (Research Summary)
Summary contributed by Abhishek Gupta (@atg_abhishek), Founder and Principal Researcher of the Montreal AI Ethics Institute. His book Actionable AI Ethics will be published in 2021. This piece is part of a series of … [Read more...] about Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science (Research Summary)
Owning Ethics: Corporate Logics, Silicon Valley, and the Institutionalization of Ethics (Research Summary)
Summary contributed by Nga Than (@NgaThanNYC), a doctoral candidate in the Sociology program at City University of New York – The Graduate Center. [Link to original paper + authors at the bottom] Overview: … [Read more...] about Owning Ethics: Corporate Logics, Silicon Valley, and the Institutionalization of Ethics (Research Summary)
Worried But Hopeful: The MAIEI State of AI Ethics Panel Recaps a Difficult Year
Contribution by Monika Viktorova (@mviktoro), a Tech strategist who grew up reading too much sci-fi and stays up thinking about ethics and AI way past her bedtime. The Montreal AI Ethics Institute’s State of AI … [Read more...] about Worried But Hopeful: The MAIEI State of AI Ethics Panel Recaps a Difficult Year
6 Ways Machine Learning Threatens Social Justice
This guest post was written by Eric Siegel, PhD (@predictanalytic). He is the founder of Predictive Analytics World, and the instructor of the Coursera's Machine Learning for Everyone. *Originally published on … [Read more...] about 6 Ways Machine Learning Threatens Social Justice