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Education, The Creative Process: Educators, Writers, Artists, Activists Talk Teachers, Schools & Creativity
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PAY ATTENTION: A Call to Regulate the Attention Market & Prevent Algorithmic Emotional Governance
Manage episode 464734285 series 3288435
A tartalmat a Mia Funk, Activists Talk Teaching, and Learning: Creative Process Original Series biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Mia Funk, Activists Talk Teaching, and Learning: Creative Process Original Series vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
AI competes for our attention because our attention has been commodified. As our entire lives revolve more and more around the attention economy, what can we do to restore our autonomy, reclaim our privacy, and reconnect with the real world.
Computer scientist Fabien Gandon and research engineer Franck Michel are experts in AI, the Web, and knowledge systems. Fabien is a senior researcher at Inria (Institut national de recherche en sciences et technologies du numérique), specializing in the Semantic Web, while Franck focuses on integrating and sharing data through Linked Open Data technologies.
Together, they’ve written Pay Attention: A Call to Regulate the Attention Market and Prevent Algorithmic Emotional Governance. Their research unpacks how digital platforms are monetizing our attention at an unprecedented scale—fueling misinformation and division and even threatening democracy and affecting our emotions and well-being.
“The fact that technologies are being used and combined to capture our attention is concerning. This is currently being done with no limitations and no regulations. That's the main problem. Attention is a very private resource. No one should be allowed to extract it from us by exploiting what we know about the human mind and how it functions, including its weaknesses. We wrote this paper as a call to regulate the attention market and prevent algorithmic emotional governance.”
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