Insights curated by Experientia, the international UX consultancy
Insights curated by Experientia, the international UX consultancy
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…
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 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…
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…
“Except in divine revelation, data is never simply given, nor should it be accepted on faith,” writes Nick Barrowman in The New Atlantis. “How data are construed, recorded, and collected is the result of human decisions – decisions about what…
Vincenzo Tiani has written an excellent summary in Wired Italia of the recently published “Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations“, by AI4People, a task force of European experts. With the help of DeepL (also…