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Large language models

Inquiry

This inquiry will examine large language models and what needs to happen over the next 1–3 years to ensure the UK can respond to their opportunities and risks.This will involve evaluating the work of Government and regulators, examining how well this addresses current and future technological capabilities, and reviewing the implications of approaches taken elsewhere in the world

Read the key points in our enhanced report summary

This inquiry is no longer accepting evidence

The deadline for submissions was Tuesday 5 September 2023.

Reports, special reports and government responses

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1st Report - Large language models and generative AI
Inquiry Large language models
HL Paper 54
Report

Oral evidence transcripts

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28 November 2023
Inquiry Large language models
Witnesses Viscount Camrose (Parliamentary Under Secretary of State (Minister for AI and Intellectual Property) at Department for Science, Innovation and Technology), Lizzie Greenhalgh (Deputy Director of AI Regulation, AI policy directorate at Department for Science, Innovation and Technology), and Sam Cannicott (Deputy Director of AI Enablers and Institutions, AI policy directorate at Department for Science, Innovation and Technology)
Oral Evidence
28 November 2023
Inquiry Large language models
Witnesses Government Office for Science
Oral Evidence
21 November 2023
Inquiry Large language models
Witnesses Google DeepMind, and Aleph Alpha
Oral Evidence
Department for Science, Innovation and Technology (LLM0120)
Human Native AI (LLM0119)
Professor David Barber (Professor of Machine Learning, Department of Computer Science at University College London) (LLM0118)

Contact us

  • Email: holcommunications@parliament.uk
  • Phone: 020 7219 8662 (committee staff) | 020 7219 8535 (Press Officer)
  • Address: Communications and Digital Committee, House of Lords, London SW1A 0PW