ChatGPT and lawful bases for training AI: a blended approach?
ChatGPT and lawful bases for training AI: a blended approach?
While regulatory approaches to address AI risks (e.g., horizontal vs sector specific, comprehensive vs multi-layered, risk-based v right-based) are being discussed globally in various fora, the relevance of data protection law can’t be overlooked.When developing and deploying AI systems that are built to extensively and continuously ingest and regurgitate all kinds of information, compliance with data protection law should be a priority. Core principles such as lawfulness, transparency and fairness, purpose limitation, data minimisation, storage limitation, accuracy, security, accountability and more broadly data protection by design should be at the forefront of the assessment.
The Digital Constitutionalist
Stalla-Bourdillon, Sophie
c189651b-9ed3-49f6-bf37-25a47c487164
Trigo Kramcsak, Pablo Rodrigo
dad6d6d7-cb0b-421a-85db-6a27ea2710f6
18 July 2023
Stalla-Bourdillon, Sophie
c189651b-9ed3-49f6-bf37-25a47c487164
Trigo Kramcsak, Pablo Rodrigo
dad6d6d7-cb0b-421a-85db-6a27ea2710f6
Sophie Stalla-Bourdillon (Author),
Pablo Rodrigo Trigo Kramcsak (Author)
(2023)
ChatGPT and lawful bases for training AI: a blended approach?
The Digital Constitutionalist
Abstract
While regulatory approaches to address AI risks (e.g., horizontal vs sector specific, comprehensive vs multi-layered, risk-based v right-based) are being discussed globally in various fora, the relevance of data protection law can’t be overlooked.When developing and deploying AI systems that are built to extensively and continuously ingest and regurgitate all kinds of information, compliance with data protection law should be a priority. Core principles such as lawfulness, transparency and fairness, purpose limitation, data minimisation, storage limitation, accuracy, security, accountability and more broadly data protection by design should be at the forefront of the assessment.
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Published date: 18 July 2023
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Local EPrints ID: 505023
URI: http://eprints.soton.ac.uk/id/eprint/505023
PURE UUID: 2bd80fdc-6ed3-4333-96b3-9976025dcff1
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Date deposited: 24 Sep 2025 16:40
Last modified: 25 Sep 2025 01:44
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Author:
Pablo Rodrigo Trigo Kramcsak
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