Fieldnotes on AI governance, China, and the Global South.
For readers who find AI debates too technical, too Western, and too detached from social context.
Most AI research explain what the technology does. AI Governance Fieldnotes offers field intelligence on AI, society, China, and the Global South — written by social scientists who know how to read both technology and lived context.
What changes when social scientists understand AI systems well enough to question them?
Essays on what happens when social scientists enter technical AI debates. This theme explores AI literacy, coding, machine learning, labour, education, responsibility, institutional change, and the gap between technical and social worlds.
What does the Chinese text actually say? How does the governance architecture work? What does English-language coverage often miss?
Primary-source analysis of Chinese AI policy, regulation, and technology governance. These essays begin with Chinese-language government documents, regulatory texts, planning frameworks, legislative proposals, industry commentary, and social media debates.
Essays on AI governance beyond the usual Western centres of debate. This theme looks at gender, labour, education, entrepreneurship, development, infrastructure, institutions, and the lived realities of AI adoption.
The Global South is not as a case study, but as a source of theory, evidence, and expertise.