Papers
Topics
Authors
Recent
Search
2000 character limit reached

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

Published 30 May 2024 in cs.CY and cs.ET | (2407.13072v1)

Abstract: The accuracy of Generative AI is increasingly critical as LLMs 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.

Summary

No one has generated a summary of this paper yet.

Paper to Video (Beta)

No one has generated a video about this paper yet.

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (3)

Collections

Sign up for free to add this paper to one or more collections.