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.
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.
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.
Fast Company spoke with tech pioneer Jaron Lanier, Microsoft CVP Emma Williams and Stanford professor Jeremy Bailenson.
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.
This essay by AI specialist Jessy Lin explores some of the possibilities to rethink how humans and "intelligent" machines interact today.
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
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.
Sur la base d'une enquête de terrain menée Genève, Los Angeles et Tokyo, cet ouvrage aborde la dimension proprement anthropologique du smartphone.
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.
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.
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.
While UX designers are trained to be on the side of the user, there are ways that the user experience can be manipulated to be in favor of the "product" in this case, a candidate. UX designer Mary Formanek broke down how this worked in an interview with Salon.
The book explores the future of artificial intelligence (AI) through interviews with AI experts and explores AI history, product examples and failures, and proposes a UX framework to help make AI successful.
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…
Angèle Christin argues that we can
explicitly enroll algorithms in ethnographic research, which can shed light on unexpected aspects of algorithmic systems - including their opacity. She delineates three mesolevel strategies for algorithmic ethnography.
The starkly different ways that American and French online news companies respond to audience analytics and what this means for the future of news.
While it's easy to blame the user, phishing schemes have become incredibly sophisticated and believable. So, instead of blaming the user, we want to instead bring an empathetic lens, and understand more about their needs.
Sur la base d'une enquête de terrain menée à Genève, Los Angeles et Tokyo, cet ouvrage aborde la dimension proprement anthropologique du smartphone.
AI is poised to disrupt our work and our lives. We can harness these technologies rather than fall captive to them - but only through wise regulation.
