Online magazine of ideas and culture publishing long-form essays on philosophy, science, ethics, technology and society. Free to read.
In plain terms: Aeon is a magazine of ideas and culture. We publish in-depth essays from the world’s most incisive and ambitious thinkers, and a mix of original and curated videos — free to all.
Read / subscribe freeThis is the only entry from Aeon in the hub so far.
Other resources that share this publication's topics.
Personal site of Basil C. Puglisi, MPA, author of Governing AI and creator of the Factics method. Free essays and frameworks on AI governance, AI literacy and measurable digital strategy.
We0 article (July 2026) on philosopher Harvey Lederman's research on the Confucian thinker Wang Yangming and its connection to Anthropic's alignment work on Claude. Published on the blog of an AI website-builder company.
UNESCO's global standard on AI ethics, adopted by 193 countries in 2021, covering values, principles and policy action areas for ethical AI.
BBC News report on Café Kino and other Bristol venues banning AI-generated artwork, citing ethical and sustainability concerns.
A 2024 open-access article in Big Data & Society by Kerry McInerney arguing that the "AI arms race" narrative between the United States and China is deeply racialized, building on "Clash of Civilizations" rhetoric and older anti-Asian tropes such as techno-Orientalism and the Yellow Peril. The author coins "Yellow Techno-Peril" and offers recommendations for policymakers, journalists, and media organizations. Free to read (open access).
Why I recommend it: The arms-race framing shows up constantly in AI coverage. This paper names what that framing carries with it and gives concrete guidance for talking about competition without the racialized baggage.
A July 2026 open-access article in the Cambridge Forum on Technology and Global Affairs by Elisabeth Siegel (University of Oxford) examining how "hybrid epistemic experts" — figures straddling technical expertise, corporate leadership, and policy influence, with Eric Schmidt as the central case — constructed and amplified the "U.S.–China AI Race" narrative between 2015 and 2023. The article raises concerns about democratic governance and the concentration of AI knowledge production in private hands. Free to read (open access).
Why I recommend it: Explains how the AI race narrative was built by people who sit in boardrooms and policy rooms at the same time. Read it alongside the Yellow Techno-Peril paper for two complementary critiques of the same framing.
