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AI can now sell your intentions – marketing your decisions before you make them

AI can now sell your intentions – marketing your decisions before you make them

Mitchell, Gareth and Boddington, Ghislaine ORCID logoORCID: https://orcid.org/0000-0003-0448-579X (2025) AI can now sell your intentions – marketing your decisions before you make them. [Audio]

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Abstract

AI can now sell your intentions – marketing your decisions before you make them
Machine learning is on the verge of commercialising your decisions even before you make them. New research shows that we are moving away from an attention economy to an intention economy as machine learning models, which can already imitate the way we write or talk, can now map previous activity onto future actions. Writing in the Harvard Data Science Review, Dr Yaqub Chaudhary, visiting scholar at the Leverhulme Centre for the Future of Intelligence, and Dr Jonnie Penn of the University of Cambridge ask if AI predicting our intentions could be misused against us.

Geothermal Energy without the digging
Geothermal energy is going drill-free, using already available underground spaces, like car parks. Reporter Jez Donaldson met Margaux Peltier, Co-founder and CEO of Enerdrape, at the Consumer Electronics Show in Las Vegas. The company uses pre-cooled or pre-heated geothermal panels in walls, which capture heat from the surrounding concrete or the ground itself, making this energy renewable as no new heat is created. This is then redistributed around the building using a heat pump.

The programme is presented by Gareth Mitchell and the studio expert is Ghislaine Boddington.

Item Type: Audio
Uncontrolled Keywords: AI, marketing, intentions, data, decisions
Subjects: H Social Sciences > HM Sociology
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group: Faculty of Law, Arts and Social Sciences
Faculty of Law, Arts and Social Sciences > School of Design and Creative Industries
Related URLs:
Last Modified: 08 Dec 2025 14:41
URI: https://gala.gre.ac.uk/id/eprint/51911

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