Created by Gary McFarling
Investigative reporting on AI ethics, labor impacts, bias harms, and global regulation
Explore the latest content tracked by AI Ethics & Society
A bibliometric analysis maps AI healthcare research on implementation science and governance frameworks from 2016 to 2026, offering an academic perspective that complements real-world policy debates.
Tech leaders like Sam Altman and Andrew Bosworth insist AI should drive higher output and intensity rather than shorter hours. In practice, efficiency...
Chatbot bias creates a stark trust gap: models trained on Western data inconsistently handle African political topics, risking censorship and eroding...
Australian delivery drivers win a world-leading pay rise to Aus$31.30 an hour plus accident insurance from August 17, beating the national minimum...
Three angles reveal the gap between AI governance ideals and outcomes:
The FTC's new enforcement letters name Anthropic repeatedly as an example of ideological bias while omitting any reference to Elon Musk or Grok,...
A longitudinal study of 483 Chinese food delivery riders found that perceived algorithmic control—via surveillance and constraints—triggers...
Most health systems remain in early discovery mode with AI initiatives under two years old, concentrating adoption in low-risk areas like scheduling...
AI avatars promise bias-free interviews by delivering consistent conditions without human fatigue or favoritism. Yet training data often inherits past...
A study of 639 UK and Arab participants found AI design (autonomy and task criticality) and cultural context primarily drive attitudes, with...
U.S. labor force participation among those 55 and older fell to 36.9% last month as Baby Boomers retire and immigration policies tighten, creating...
The White House's opaque AI testing framework risks undermining public trust by operating as a black box that contravenes the rule of law.
Meanwhile,...
Colorado replaced its landmark AI anti-discrimination law with a lighter transparency framework under SB 189, shifting from mandatory bias audits to...
Across regions, AI regulations prioritize protecting people affected by the technology.
DOL Inspector General Anthony D’Esposito describes the H-1B program as “not just fraud” but “a criminal enterprise” that displaces American workers...
Hospitals deploying predictive AI lack clear ownership and stop authority, widening the gap between algorithmic influence and oversight. Boards must...
Employers face a fragmented regulatory landscape as states and countries roll out distinct AI rules.
