Category AI
[Book] Human-Centered AI
Videos online of “Humanizing technology through design” conference
AI still sucks at moderating hate speech
The human error of Artificial Intelligence
Social science perspectives on artificial intelligence. A special issue.
Google Health’s human-centred observational study on AI’s real-world problems
How an AI tool for fighting hospital deaths actually worked in the real world
Rethinking human-AI interaction
Anthropology and technology conference
[Book] Possibilities and challenges of AI for work and society
You are not your data but your data is still you
[Book] AI and UX: Why Artificial Intelligence Needs User Experience
Why computing belongs within the social sciences
This article argues [that] the well-publicized social ills of computing will not go away simply by integrating ethics instruction or codes of conduct into computing curricula. The remedy to these ills instead lies less in philosophy and more in fields…
The ethnographer and the algorithm: beyond the black box
[Book] Metrics at Work: Journalism and the Contested Meaning of Algorithms
[Book] New Laws of Robotics
AI’s social sciences deficit
To create less harmful technologies and ignite positive social change, AI engineers need to enlist ideas and expertise from a broad range of social science disciplines, including those embracing qualitative methods, say Mona Sloane and Emanuel Moss in a comment…
The anthropologist of Artificial Intelligence
The algorithms that underlie much of the modern world have grown so complex that we always can’t predict what they’ll do. Iyad Rahwan, who directs the Center for Humans and Machines at the Max Planck Institute for Human Development, proposes…
Ten arguments against algorithmic decision making
Against the Dehumanisation of Decision-Making – Algorithmic Decisions at the Crossroads of Intellectual Property, Data Protection, and Freedom of Information by Dr Guido Noto La Diega, Senior Lecturer in Law at the Northumbria University Law School Published in JIPITEC (Journal…