neurons and lighted background, illustration - Credit: Andrii Vodolazhskyi

Insights for AI from the Human Mind

Much work in evolutionary and developmental psychology points in the same direction; the mind is not one thing, but many.
To build AIs able to comprehend open text or power general-purpose domestic robots, we need to go further. A good place to start is by looking at the human mind, which still far outstrips machines in comprehension and flexible thinking.

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four individuals and a hand holding a mobile phone, illustration - Credit: DesignPrax

Coalition of the Willing Takes Aim at COVID-19

Though privacy concerns limit the quantity of information they will be able to use, as the pandemic gradually clears, researchers will have data from the most closely tracked outbreak of its kind to gauge the effectiveness of the many strategies countries have used to tackle Covid-19. But the pandemic has reinforced the notion that there are limits to what data science can achieve, despite the clear cost-savings and efficiency that technology promises.

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Above the Line, Below the Line

All these features [of Internet-facing systems] are simultaneously products of the environment and enablers of it. They have emerged in large part because the technical artifacts are evolving quickly, but moreso because the artifacts cannot be observed or manipulated directly. Computing is detectable only via representations synthesized to show its passing. Similarly, it can be manipulated only via representations.

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autonomous vehicle identifies pedestrians - Credit: Kollected Studio

Crowdsourcing Moral Machines

“Crowdsourcing Moral Machines” Communications of the ACM, March 2020, Vol. 63 No. 3, Pages 48-55 Contributed Articles By Edmond Awad, Sohan Dsouza, Jean-François Bonnefon, Azim Shariff, Iyad Rahwan We believe that social scientists and computational social scientists have a pivotal …

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