The Westminster lensArchive · §02 Speeches · 472 contributions

Speeches by Darlington.

Every Hansard contribution by Emily Darlington this parliament, most recent first. Back to the MP page for the headline figures and analysed positions.

Showing 120 of 472 contributions · most-recent first

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DateDebate & contributionWords
8 Jul 2026Societal Impact of AI: Government Policy

It is a pleasure to serve under your chairship, Ms McVey. I have rewritten my speech because I do not want to repeat all the things that have been said. I think we are in agreement, although we may have different perspectives. I want to take us back to 80 years ago, to a country house a few miles from Milton Keynes in

technologyeconomy-jobslabour-market
865
8 Jul 2026Engagements

Q5. The Deputy Prime Minister and most of us in the House have been victims of AI-generated fake news, also known as deepfakes. They mislead the public and disrupt our democracy. BBC news coverage and coverage from other news channels is also being AI manipulated to tell untruths. Will he, alongside MPs from across the

crimeeconomy-jobslocal-government
108
6 Jul 2026Foreign Interference in UK Politics

I thank the Minister for her engagement with me on this issue. I want to praise both the work of the Electoral Commission in addressing the many threats that we face and the Rycroft review, which I had the pleasure of speaking to Philip Rycroft about. In the review, he focuses not just on money, which many Members have

fiscal-policytechnologylocal-government
116
17 Jun 2026Science, Innovation and Technology Committee — Oral Evidence (HC 58)

Well done.

2
17 Jun 2026Science, Innovation and Technology Committee — Oral Evidence (HC 58)

That is fantastic. Professor Turitsyn, could you introduce yourself and your field?

12
17 Jun 2026Science, Innovation and Technology Committee — Oral Evidence (HC 58)

What about the ethics side?

5
17 Jun 2026Science, Innovation and Technology Committee — Oral Evidence (HC 58)

I have a second question there, because this is quite important for the Committee to understand. This is such cutting-edge work that you are doing. How is the research funding responding to these new areas? Are they within the 10-year funding commitments? Is there the right funding environment? Do you find that UKRI’s

66
17 Jun 2026Science, Innovation and Technology Committee — Oral Evidence (HC 58)

I wanted to come back to the point about personalisation and neuromorphic computing and get you to talk about that a little more. I can understand that, in an academic field, it is almost like you would input all the different bits of research that you want and have accessibility to that—it becomes your own little LLM,

70
17 Jun 2026Science, Innovation and Technology Committee — Oral Evidence (HC 58)

What about the ethics side?

5
17 Jun 2026Science, Innovation and Technology Committee — Oral Evidence (HC 58)

In your role as head of these two large institutions, what is the role of ethics and sustainability in your thought processes when developing road maps and your calls for supporting particular technologies?

33
17 Jun 2026Science, Innovation and Technology Committee — Oral Evidence (HC 58)

Well done.

2
17 Jun 2026Science, Innovation and Technology Committee — Oral Evidence (HC 58)

That is fantastic. Professor Turitsyn, could you introduce yourself and your field?

12
17 Jun 2026Science, Innovation and Technology Committee — Oral Evidence (HC 58)

In your role as head of these two large institutions, what is the role of ethics and sustainability in your thought processes when developing road maps and your calls for supporting particular technologies?

33
17 Jun 2026Science, Innovation and Technology Committee — Oral Evidence (HC 58)

Can you briefly introduce yourselves and tell us a bit more about how your areas of expertise can lead to low-energy computing? This is a big issue, particularly for young people who understand or are excited by AI, but the environmental impact is something that comes up in pretty much every school I go to now.

56
17 Jun 2026Science, Innovation and Technology Committee — Oral Evidence (HC 58)

Taking your example of a hearing aid, it could learn from you what your reaction is to different sounds, or where you live and what kind of city or rural environment you live in, and therefore be able to interpret sounds more accurately, because it knows your surroundings and your reactions to those sounds.

54
17 Jun 2026Science, Innovation and Technology Committee — Oral Evidence (HC 58)

Taking your example of a hearing aid, it could learn from you what your reaction is to different sounds, or where you live and what kind of city or rural environment you live in, and therefore be able to interpret sounds more accurately, because it knows your surroundings and your reactions to those sounds.

54
17 Jun 2026Science, Innovation and Technology Committee — Oral Evidence (HC 58)

I wanted to come back to the point about personalisation and neuromorphic computing and get you to talk about that a little more. I can understand that, in an academic field, it is almost like you would input all the different bits of research that you want and have accessibility to that—it becomes your own little LLM,

70
17 Jun 2026Science, Innovation and Technology Committee — Oral Evidence (HC 58)

I have a second question there, because this is quite important for the Committee to understand. This is such cutting-edge work that you are doing. How is the research funding responding to these new areas? Are they within the 10-year funding commitments? Is there the right funding environment? Do you find that UKRI’s

66
17 Jun 2026Science, Innovation and Technology Committee — Oral Evidence (HC 58)

That is as opposed to a huge model that could make mistakes because it does not know that you live in—I do not know—Runcorn.

24
17 Jun 2026Science, Innovation and Technology Committee — Oral Evidence (HC 58)

That is as opposed to a huge model that could make mistakes because it does not know that you live in—I do not know—Runcorn.

24
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Sources
SourceHansard · official report
MethodEach row is one contribution (intervention or speech). Word count from the official text.