The human error of Artificial Intelligence
Rather than trying to fix the biases of AI systems and their human error, we need to find ways to coexist with it. Anthropology can help us a lot here.
Insights curated by Experientia, the international UX consultancy
Insights curated by Experientia, the international UX consultancy
Category Technology
The human factor — why data is not enough to understand the world
In a world shaped by one AI, artificial intelligence, we need a second AI, too — anthropology intelligence, writes Gillian Tett in the Financial Times.
Shoshana Zuboff explains why you should care about privacy
In a wide-ranging interview with Lauren Jackson of the New York Times, the author of “The Age of Surveillance Capitalism” talks about why people should pay attention to how big tech companies are using their information.
[Book] Living in Data
In this provocative book, Jer Thorp brings his work as a data artist to bear on an exploration of our current and future relationship with data, transcending facts and figures to find new, more visceral ways to engage with data.
[Book] Data Lives
A book about the life of data and living with data.
Towards an anthropology of data
Special issue of the Journal of the Royal Anthropological Institute
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
[Book] Slow computing
Drawing on the ideas of the "slow movement", Slow Computing sets out numerous practical and political means to take back control and counter the more pernicious effects of living digital lives.
Nicolas Nova: we have to learn how to domesticate our smartphones
Sur la base d'une enquête de terrain menée Genève, Los Angeles et Tokyo, cet ouvrage aborde la dimension proprement anthropologique du smartphone.
Anthropology and technology conference
The Anthropology + Technology conference brings together pioneering technologists and social scientists from across the globe. Its aim is to facilitate dialogue on emerging technology projects in order to help businesses benefit from more socially-responsible AI.
[Book] Possibilities and challenges of AI for work and society
Artificial Intelligence is permeating a wide range of areas and it is bound to transform work and society. This dossier asks what needs to be done politically in order to shape this transformation for the sake of the common good.
You are not your data but your data is still you
New worlds need new language. TOne of those things to name is what is happening to ourselves and our data proxies. Expanding our language from privacy to personhood enables us to have conversations that enable us to see that our data is us, our data is valuable, and our data is being collected automatically.