The future of urban AI
10 conversations by Urban AI, a Paris based think tank, with worldwide experts to explore the future of urban artificial intelligence
Insights curated by Experientia, the international UX consultancy
Insights curated by Experientia, the international UX consultancy
Category Technology
[Book] Imagining AI
The book sheds new light on some of the most important themes in AI ethics, from the differences between Chinese and American visions of AI, to digital neo-colonialism. It is an essential work for anyone wishing to understand how different cultural contexts interplay with the most significant technology of our time.
[Book] The Smartness Mandate
What exactly is “smartness,” and how and why has it come to be not only a desirable goal, but something that must be implemented everywhere?
An anthropology of algorithmic recommendation systems
In this book meet the people who design the algorithms that capture our musical tastes.
New European Commission study on how digital advertising impacts privacy, publishers and advertisers
This study has collated evidence which on balance indicates a strong case to reform digital advertising. It indicates that the status quo is unsustainable for individuals, publishers and advertisers.
[Book] Everyday Life in the Culture of Surveillance
Today, it is of utmost relevance to study people’s attitudes, motives, and behaviours in relation to the fact that we live in a culture of surveillance. This includes the need for cultural and ethical perspectives to understand and nuance contemporary discussions on surveillance, not least in the highly digitalised context of the Nordic countries.
Robots won’t save Japan’s elderly
Robots Won't Save Japan addresses the Japanese government's efforts to develop care robots in response to the challenges of an aging population, rising demand for eldercare, and a critical shortage of care workers.
Toward best practices for human-centered machine learning
A new area called "human-centered machine learning" (HCML) promises to balance technological possibilities with human needs and values. However, there are no unifying guidelines on what "human-centered" means, nor how HCML research and practice should be conducted.
This article by Stevie Chancellor in Communications of the ACM draws on the interdisciplinary history of human-centered thinking, HCI, AI, and science and technology studies to propose best practices for HCML.
Ericsson on AI ethics
This report by the IndustryLab of Ericsson, the Swedish multinational, aims to introduce the ethics of AI and explore how this fast-growing technology needs to align with humans’ moral and ethical principles if it is to be embraced by society at large.
Design for AI: What should people who design AI know?
Hal Wuertz, Adam Cutler and Milena Pribic of IBM Design defined a unique set of five skills for “AI Design.”
Europe’s digital divide is far from gone (and what Italians are doing about it)
Dutch and European research highlights the struggles of Europeans (incl. the Dutch) in accessing financial services in an increasingly digital society. A new Italian initiative, the Polis Project, seeks to do something about it.
But, besides the fairly low 54 percent EU average, a new study by the Dutch National Bank (reported on yesterday by De Volkskrant, a Dutch daily newspaper) highlights how the Dutch 80% number camouflages the real difficulties many Dutch have with financial services in an increasingly digital society.
Samsung aiming to bring calm to our connected world
Samsung US newsroom published an interview with Federico Casalegno, Executive Vice President of Design and Head of Samsung Design Innovation Center; Mark Benson, Head of Samsung SmartThings U.S.; and Inhee Chung, Vice President of the Corporate Sustainability Center to discuss how Samsung’s philosophy of prioritizing more seamless connected experiences is driving the innovation behind its latest products.
50% of customers won’t connect smart appliances
“The challenge is that a consumer doesn’t see the true value that manufacturers see in terms of how that data can help them in the long run. So they don’t really care for spending time to just connect it.”
[Book] An anthropology of futures and technology
This book examines emerging automated technologies and systems and the increasingly prominent roles that each plays in our lives and our imagined futures.
2022 HAI Fall Conference on AI in the Loop: Humans in Charge
At the "AI in the Loop: Humans in Charge" conference, which took place Nov. 15 at Stanford University, panelists proposed a new definition of human-centered AI – one that emphasizes the need for systems that improve human life and challenges problematic incentives that currently drive the creation of AI tools.
To understand uses of personal data in the present, people draw on the past and imagine the future
The collection and analysis of data about us now occurs across many aspects of everyday life, but how do people come to understand these complex processes? Drawing on Living With Data research, Susan Oman, Hannah Ditchfield and Helen Kennedy show that people’s understandings of data uses are based on past experiences and predictions about the future.
Ethnographic research in data centers
Data centers are destroying the natural world, writes anthropologist Steven Gonzalez Monserrate in Wired. But is the cloud an inherently unsustainable paradigm? He foresees three possible pathways for remaking the cloud into something more sustainable for future generations.
Nielsen Norman Group on the usability of AR
AR features in mobile apps are plagued by usability issues such as poor discoverability and findability of items with AR, low-visibility instructions, or vague icons and signifiers.
No amount of hype and starry-eyed Metaverse proselytising can escape reality
The metaverse will be a digital graveyard if we let new technologies distract us from today’s problems
Why paying individual people for their health data is a bad idea
Paying individual people for their health data will widen inequalities and reduce altruism, luring people to sell their privacy. Health data should instead be treated as collective property, and commercial profits should be shared with the public.