Accuracy of training data and model outputs in Generative AI: CREATe Response to the Information Commissioner Office Consultation

• URL: http://arxiv.org/abs/2407.13072v1
• Date: Thu, 30 May 2024 10:34:49 GMT
• Title: Accuracy of training data and model outputs in Generative AI: CREATe Response to the Information Commissioner Office Consultation
• Authors: Zihao Li, Weiwei Yi, Jiahong Chen,
• Abstract summary: CREATe welcomes the ICO call for evidence on the accuracy of Generative AI. We are happy to highlight aspects of data protection law and AI regulation that we believe should receive attention.
• Score: 6.699484354380871
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: The accuracy of Generative AI is increasingly critical as Large Language Models become more widely adopted. Due to potential flaws in training data and hallucination in outputs, inaccuracy can significantly impact individuals interests by distorting perceptions and leading to decisions based on flawed information. Therefore, ensuring these models accuracy is not only a technical necessity but also a regulatory imperative. ICO call for evidence on the accuracy of Generative AI marks a timely effort in ensuring responsible Generative AI development and use. CREATe, as the Centre for Regulation of the Creative Economy based at the University of Glasgow, has conducted relevant research involving intellectual property, competition, information and technology law. We welcome the ICO call for evidence on the accuracy of Generative AI, and we are happy to highlight aspects of data protection law and AI regulation that we believe should receive attention.

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