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Verso
Verso
Verso Books is the largest independent, radical publishing house in the English-speaking world.
Verso
Made to measure: why we can’t stop quantifying our lives
Made to measure: why we can’t stop quantifying our lives
The long read: From ancient Egyptian cubits to fitness tracker apps, humankind has long been seeking ever more ways to measure the world – and ourselves. But what is this doing to us?
Made to measure: why we can’t stop quantifying our lives
Feedback loop(s) for mutual learning - C/Change
Feedback loop(s) for mutual learning - C/Change
Mutual learning has been explicitly stated as a core tenet in the canon of participatory design, socially engaged art and other community-oriented and -driven “making” processes. Yet, what is mutual learning and how does it concretize in the world?
Feedback loop(s) for mutual learning - C/Change
Datasets Have Worldviews
Datasets Have Worldviews
Every dataset communicates a different perspective. When you shift your perspective, your conclusions can shift, too.
Datasets Have Worldviews
The Weird and Wonderful World of AI Art
The Weird and Wonderful World of AI Art
The world of Artificial-Intelligence generated art has exploded over the last twelve months. In January 2021, OpenAI released two models that changed the game: DALL-E and CLIP. These models showed what might be possible by generating visual art from text-based prompts.
The Weird and Wonderful World of AI Art
Exploring hip hop history with art and technology
Exploring hip hop history with art and technology
The Universal Hip Hop Museum is coming to New York City, and an MIT team led by D. Fox Harrell has designed for it unique creative experiences at the intersection of art, learning, and technology.
Exploring hip hop history with art and technology
Design Principles for a New AI World
Design Principles for a New AI World
I was on a panel tonight discussing Ethics in Design Research. I’m on a lot of panels about design and ethics because I’ve worked in AI…
Design Principles for a New AI World
What Computers Still Can't Do
What Computers Still Can't Do
When it was first published in 1972, Hubert Dreyfus's manifesto on the inherent inability of disembodied machines to mimic higher mental functions caused an uproar in the artificial intelligence community. The world has changed since then. Today it is clear that "good old-fashioned AI," based on the idea of using symbolic representations to produce general intelligence, is in decline (although several believers still pursue its pot of gold), and the focus of the Al community has shifted to more complex models of the mind. It has also become more common for AI researchers to seek out and study philosophy. For this edition of his now classic book, Dreyfus has added a lengthy new introduction outlining these changes and assessing the paradigms of connectionism and neural networks that have transformed the field.At a time when researchers were proposing grand plans for general problem solvers and automatic translation machines, Dreyfus predicted that they would fail because their conception of mental functioning was naive, and he suggested that they would do well to acquaint themselves with modern philosophical approaches to human beings. What Computers Can't Do was widely attacked but quietly studied. Dreyfus's arguments are still provocative and focus our attention once again on what it is that makes human beings unique.
What Computers Still Can't Do