Blog

Skills, Meaning, and the Illusion of Understanding

As we kick off 2020, many of us are drawing up lists of resolutions: good habits to build, bad habits to break, new skills to learn. We may even have goals around technology — less compulsive or more efficient use, for example. But there is something paradoxical about this reflective New Year mood…

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Nathanael Fast
On Progress

We closed our last newsletter, an interview with Nicholas Carr, by asking about the nature and possibility of progress. We argued that disputes about the very idea of progress animate many debates about technology today. At the extremes, one finds both blind optimism about progress as an inexorable historical force…

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Nathanael Fast
The Politics of Attention: An Interview with Nicholas Carr

This week, we're pleased to feature an interview with writer and technology critic Nicholas Carr, a member of the Institute's Scientific Advisory Board. Carr is the Richmond Visiting Professor at Williams College, and his books include The Shallows, The Glass Cage, and Utopia is Creepy. We spoke about the ways digital technology affects our cognition, relationships, and politics…

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Nathanael Fast#interview
Cognitive Artifacts

The field of computer science did not begin in earnest until the 1950s, but we humans have been outsourcing our cognition to external objects for centuries. From the alphabet to the abacus to the astrolabe, the tools we've invented have extended our cognitive capacities far beyond the limits of our brains and bodies…

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Nathanael Fast
Fake Video, Shared Reality

One of the great ironies of the information age is that abundant and available knowledge has produced widespread uncertainty. Rather than merely expanding access to authoritative accounts of reality, the web has cast doubt on even the most entrenched forms of institutional authority…

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Nathanael Fast
Explainable AI and the Nature of Understanding

The most uncanny fact about modern AI may not be how smart it is, but how inscrutable. After centuries of scientific progress driven by a hand-in-hand relationship between explanation, prediction, and understanding, we’re now facing a world in which some of the most intelligent systems on earth…

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Nathanael Fast
Moral Minds, Intelligent Machines

Consider a nurse charged with administering medication to an unwilling patient. Suppose that the nurse is experienced, trustworthy, and responsible. Suppose further that he or she is under the charge of a chief physician, who has explicitly directed that the patient be given the medication. The nurse refuses out of concern…

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Nathanael Fast
Meditation and Technology

[Humans] have always been prey to distractions, which are the original sin of the mind; but never before today has an attempt been made to organize and exploit distractions, to make of them, because of their economic importance, the core and vital center of human life, to idealize them as the highest manifestations of mental activity…

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Nathanael Fast
AI and the Nature of Bias

In our last newsletter, we spoke about the increasingly fraught question of AI ethics and the way in which machines force clarity on age-old moral dilemmas. Nowhere is this clearer than in the arena of algorithmic bias, which, unlike fears about AGI and existential risk, has immediate, near-term implications. Concerns have already…

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Nathanael Fast
The Challenge of AI Ethics

In his influential 2014 book Superintelligence, the philosopher Nick Bostrom argued that the prospect of advanced AI would require us to do "philosophy with a deadline." While Bostrom's concern was redirecting academic resources toward the mitigation of existential risk, his line applies equally to the increasingly fraught near-term…

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Nathanael Fast