Logical fallacies, UNC Writing center
MORE bad arguments, NM writeup
Don't use statistical p-values, NM writeup
Israeli data: How can efficacy vs. severe disease be strong when 60% of hospitalized are vaccinated? update, Covid-19 Data Science (blog posts), Prof. Jeffery Morris, University of Pennsylvania, August 15, 2021
Good for Men, Good for Women, Bad for People, focus on Table 1.
As the Jury Deliberates Elizabeth Holmes' Fate, Experts Say 'Fraud is Complicated', NPR, December 29, 2021
He Jiankui Affair, Wikipedia
Applied Ethics, Section 3, Bioethics, from the Internet Encyclopedia of Philosophy
The Obsolete Science Behind Roe v. Wade, Wall Street Journal, October 28, 2021
Apple-FBI encryption debate, Wired, January 16, 2020
Prisons Across the U.S. Are Quietly Building Databases of Incarcerated People’s Voice Prints, The Intercept, January 30, 2019
Corporate Executives Couldn't Care Less About Civil Liberties, Bill Blunden, Counterpunch, September 15, 2014
Jan. 6 Panel Subpoenas Reddit, Twitter and Parent Companies of Google and Facebook, Wall Street Journal, January 13, 2022
Snapchat and the Liability Conundrum, Knowledge@Wharton, October 22, 2014
Privacy and Data Privacy Issues in Contemporary China, Ethics and Information Technology, Lue Yao-Huai, 2005
Issues in Differential Privacy, NM stat/R blog, August 4, 2021
Data Scientists Square Off Over Trust and Privacy in 2020 Census, data privacy may be easier said than done
New Climate Model to Be Built from the Ground Up, Caltech news site
What Was Volkswagen Thinking?, The Atlantic , Jan./Feb. 2016
The 10-Page Machine Learning Book, N. Matloff (overview of machine learning, prep for Strubell article and others below)
Energy and Policy Considerations for Deep Learning in NLP, Emma Strubell, Ananya Ganesh, Andress McCallum, University of Massachusetts Amhearst, June 5, 2019
It Takes a Lot of Energy for Machines to Learn --Here's Why AI Is So Power-Hungry, The Conversation, December 2020
Data from University of Texas Austin; is there cultural variation here, or are there unaccounted-for confounding factors?
Black Drivers Get Pulled over by Police Less at Night When Their Race Is Obscured by 'Veil of Darkness,' Stanford Study Finds, Stanford News, May 5, 2020; might there be other confounding factors, e.g. with police stopping older cars, which are disproportionately driven by Black people?
Aricle in Nature, a highly prestigious UK science journal, about the 2020 "canceling" of Sir Ronald Fisher, one of the founders of the field of statistics.
"Racist" Is a Tough Little Word, John McWhorter (Columbia University), The Atlantic, July 24, 2019
Minorities Face Challenges in Securing STEM Jobs, Charlottesville Tomorrow, May 17, 2019
Why Doesn't Silicon Valley Hire Black Coders?, March 23, 2016, Black Men in America
A Statistician Looks at Affirmative Action in College Admissions; does Harvard discriminate against Asian applicants?
Male and Female Entrepreneurs Get Asked Different Questions by VCs -- and It Affects How Much Funding They Get, Dana Kanze (London Business School), Laura Huang (Harvard Business School ), Mark A. Conley (Stockholm School of Economics), and E. Tory Higgins (Columbia University), Harvard Business Review, June 27, 2017
The Tech Industry's Gender-Discrimination Problem, Sheelah Kolhatkar, The New Yorker, November, 13, 2017
Thoughts on the Ellen Pao Case, and the Gender/Silicon Valley Interaction
Ageism in tech: the not-so-invisible age limit developers face Howard Williams, Tech Talks, March 29, 2019
Everyday ageism in the tech industry, CW Jobs (UK), November 29, 2019
Google Hit with Age Discrimination Suit c/net, July 26, 2004
The Adverse Impact of Work Visa Programs on Older U.S. Engineers and Programmers, N. Matloff, California Labor and Employment Law Review, August 2006
Bias In, Bias Out, Sandy Mayson, University of Pennsylvania Law School
It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks, by Bao et al, through Sec. 3
Amazon scraps secret AI recruiting tool that showed bias against women, Jeffrey Dastin, Reuters, October 10, 2018
Addressing Fairness, Bias, and Appropriate Use of Artificial Intelligence and Machine Learning in Global Health, Richard Ribón Fletcher (MIT), Audace Nakeshimana (MIT), Olusubomi Olubeko (University of Massachusetts Medical School), Frontiers in Artificial Intelligence, April 15, 2021
GRAIL, Inc and the (Not So) Subtle Sexism in Science & Medicine
"The 'Google of Genomics' Meets the Techbashers of Antitrust", The Economist, Sept. 11, 2021
Crispr Patent Ruling Picks Winners in Dispute Over Gene-Editing Technology; Decision marks the latest chapter in long-running saga about who owns the rights to revolutionary biomedical technology, Wall Street Journal, Amy Dockser Marcus, March 2, 2022
How to Protect the First ‘CRISPR Babies’ Prompts Ethical Debate, Nature, February 25, 2022