Towards an anthropology of data
Special issue of the Journal of the Royal Anthropological Institute
Insights curated by Experientia, the international UX consultancy
Insights curated by Experientia, the international UX consultancy
Category Technology
Social science perspectives on artificial intelligence. A special issue.
This special issue collects six articles tackling artificial intelligence (AI) from a social science perspective.
[Book] Creating a Culture of Innovation
Innovation can only occur in the right environment. While organizations can attempt to hire for innovation, there is little that can blossom in a restrictive and discouraging physical setting - even if the space holds the most creative and vibrant thinkers.
Google Health’s human-centred observational study on AI’s real-world problems
The gulf between the technical brilliance claimed for Google's deep learning model and its real-world application points to a common problem that has hindered the use of AI in medical settings.
[Book] Privacy is Power
The first book to call for the end of the data economy. Carissa Veliz exposes how our personal data is giving too much to big tech and governments, why that matters, and what we can do about it.
How an AI tool for fighting hospital deaths actually worked in the real world
It wasn't just technical work but also significant social and emotional labor that turned Sepsis Watch, a Duke University deep-learning model, into a success story.
How constant tech is breaking our brains
Fast Company spoke with tech pioneer Jaron Lanier, Microsoft CVP Emma Williams and Stanford professor Jeremy Bailenson.
Google’s ethnographic research on selfies
The Gogle Wellbeing Lab joined up with the company's Pixel team to run an ethnographic study across four countries, examining the relationship people in the United States, Germany, India, and South Korea had with their selfies.
Rethinking human-AI interaction
This essay by AI specialist Jessy Lin explores some of the possibilities to rethink how humans and "intelligent" machines interact today.
Lack of partnership with key community members causes ICT4D projects to fail
The main lesson is that even a nearly imperceptible deviation from the full inclusion of all relevant parties in every aspect of the project can result in large deviations from the expected outcomes