AI model access for safety research
Lack of access for AI Safety Institutes to advanced AI models for safety research, including developers refusing access.
32 items
1 source
Strongest theme matches
Mixed across source types and ranked by classifier confidence plus text match strength.
Committee recommendation
100match
#26 - Confirm models the AI Safety Institute could not access and name refusing developers.
The Government should also confirm which models the Institute has been unable to secure access to, and the reason for this. If any developers have refused access— which would represent a contravention of the reported agreement at the November 2023 Summit at Bletchley Park—the Government should name them and detail their justification for doing so. (Paragraph 92) The...
Matched on
terms: acces, model, safety
Committee recommendation
99match
#24 - AI Safety Institute's limited access to unreleased models undermines safety testing capabilities.
However, we are concerned by suggestions that the Institute has been unable to access as-yet unreleased AI models to perform the pre-deployment safety testing it was set up to undertake. If true, this would undermine the delivery of the Institute’s mission and its ability to increase public trust in the technology.
Matched on
terms: acces, model, safety
Committee recommendation
87match
#9 - Commission independent research into social media algorithms amplifying harmful content with full data access
There is a shortfall in data needed to accurately analyse the scale of the problem and identify policy solutions. In line with our Principle 4, the government should commission a large-scale research project into how far social media recommendation systems spread, amplify or prioritise harmful content. This should be undertaken by a group of credible independent researchers, bringing...
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terms: acces, research
Committee recommendation
83match
#45 - Insufficient details provided on access to dedicated AI Research Resource and supercomputer cluster.
We welcome the Government’s moves to establish a dedicated AI Research Resource and a cluster of supercomputers but are concerned that it has yet to set out further details of how researchers and startups will be able to access the compute they need to maximise the potential benefits of AI across society and the economy.
Matched on
terms: acces, research
Committee recommendation
83match
#28 - Require generative AI providers to share internal data with independent online safety researchers.
Principle 5 is crucial for addressing potential harms from generative AI, as there is currently a serious shortfall in transparency and oversight of the platforms and systems that allow users to create AI-generated content. The government should require providers of generative AI services to provide information to those carrying out independent research into online safety. This should include...
Matched on
terms: research, safety
Committee recommendation
77match
#25 - Confirm models tested by AI Safety Institute, testing details, findings, and developer changes.
In its response to this Report, the Government should confirm which models the AI Safety Institute has undertaken pre-deployment safety testing on, the nature of the Governance of artificial intelligence (AI) 55 testing, a summary of the findings, whether any changes were made by the model’s developers as a result, and whether any developers were asked to make...
Matched on
terms: model, safety
Committee recommendation
69match
#46 - Publish AI Research Resource action plan and undertake National Compute Cluster feasibility study.
The Government, or its successor administration, should publish an action plan and proposed deliverables for both the AI Research Resource and its cluster of supercomputers, and further details of the terms under which researchers and innovative startups will be able to access them. It should also undertake a feasibility study into the establishment of a National Compute Cluster...
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terms: acces, research
Committee recommendation
65match
#6 - Mandate health bodies to keep updated on scientific AMR developments and fund vital research.
It is vital that government keeps up to date with scientific developments that might help tackle the threat of AMR. Research can help identify better ways of mitigating AMR and treating those with AMR infections, including through the use of artificial intelligence, genomic sequencing, and vaccinations. DHSC and UKHSA fund research into these areas, for example through the...
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terms: research
Committee recommendation
65match
#19 - Mandate deposition of research data in open-access repositories and encourage FAIR principles
Journals should collectively encourage researchers to employ the FAIR (Findability, Accessibility, Interoperability, and Reuse of digital assets) principles within their research and should mandate the deposition of research data in open- access repositories alongside the publication of research outputs.
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terms: acces, research
Committee recommendation
64match
#40 - Dominance of leading AI developers stifles free and open competition in the market
At the so-called ‘frontier’ of AI a small group of leading developers are responsible for and accruing significant benefits from the development of advanced models and tools—thanks in part to their ability to access the necessary training data. This potential dominance is arguably to the detriment of free and open competition.
Matched on
terms: acces, model
Committee recommendation
62match
#7 - Social media technology is insufficiently transparent and accessible to public authorities
The technology used by social media companies should be transparent, explainable and accessible to public authorities, as stated in our Principle
Matched on
terms: acces
Committee recommendation
57match
#44 - Facilitate UK AI startups' access to anonymised public datasets through a National Data Bank.
The Government and future administrations should support the emergence of more AI startups in the UK by ensuring they can access the high-quality datasets they need to innovate. This could involve facilitating access to anonymised public data from data.gov.uk, the NHS and BBC via a National Data Bank, subject to appropriate safeguards.
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terms: acces
Committee recommendation
57match
#32 - Scientific research and development are crucial for advancing AMR diagnostics, treatments, and vaccines.
Taking advantage of scientific research and developments will be very important in addressing the threat of AMR. Research and development can improve tools such as diagnostics to improve prescribing of antimicrobials, as well as producing new antimicrobials and vaccines.82 It can also promote innovative forms of mitigating and treating AMR, such as through the use of artificial intelligence—which...
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terms: research
Committee recommendation
56match
#17 - Implement 100% open access policies for scientific outputs by UKRI and funders by 2025
The trend towards blanket open access in the communication of scientific outputs is positive. UKRI and other research funders should continue to implement open access policies until this figure reaches 100%, by the end of 2025 at the latest.
Matched on
terms: acces, research
Committee recommendation
56match
#4 - AI technology offers transformative potential for medical research, drug development, and personalised medicine.
The ability of AI models and tools to process substantial volumes of data, and rapidly identify patterns where human researchers might take months or be unable to, makes it a potentially transformational technology for medical research. Either through the development of new drugs, or the repurposing of existing ones, the technology could reduce the investment required to bring...
Matched on
terms: model, research
Committee recommendation
53match
#50 - Utilise best-suited AI models for public sector deployment when procuring solutions.
When procuring AI models for deployment in the public sector the Government and public bodies should utilise those best suited to the task.
Matched on
terms: model
Committee recommendation
52match
#49 - AI marketplace requires diversity to support both open and closed-source models.
The open-source approach has underpinned many technological breakthroughs, including the Internet and AI. Whilst some providers of products and services, such as AI models and their applications, will want to keep elements of their offerings proprietary, a healthy AI marketplace should be sufficiently diverse to support both ‘open’ and ‘closed’ options. The volume of investment flowing into AI...
Matched on
terms: model
Committee recommendation
51match
#42 - High-quality input data is crucial for effective AI models and tools
AI models and tools rely on access to high-quality input data. The phrase ‘garbage in, garbage out’ is not new, but it is particularly applicable to AI.
Matched on
terms: acces, model
Committee recommendation
44match
#18 - Mandate researchers to share open-source data and code alongside all published outputs
Currently, research outputs are frequently published without an associated link through to their open-source data and code. This prevents other researchers assessing work for its reproducibility. In all bar the most exceptional ethical and legal situations, researchers should share their research data and code alongside published outputs.
Matched on
terms: research
Committee recommendation
39match
#20 - Continued emphasis on data management plans as a condition of research funding is necessary
We welcome UKRI’s use of data management plans. A continued emphasis on their importance as a condition of research funding is necessary.
Matched on
terms: research
Committee recommendation
39match
#3 - AI models demonstrate transformative potential in healthcare diagnostics and professional time-saving.
AI models and tools can transform healthcare provision, by assisting with diagnostics and, perhaps more significantly, freeing up time for the judgement of medical professionals by automating routine processes.
Matched on
terms: model
Committee recommendation
36match
#5 - 5th Report - Maccabi Tel Aviv fan ban
Former Chief Constable Guildford was not informed ahead of giving oral evidence on 6 January that Microsoft Copilot AI had been used to generate the erroneous information about a match between West Ham and Maccabi Tel Aviv. On this basis we can only conclude that the former Chief Constable did not intentionally mislead the Committee. However, by 6...
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Committee recommendation
31match
#37 - 3rd Report - Flying Blind: Innovation, Growth and the Regions
The Government should prioritise the diffusion and adoption of innovation and technologies across the UK. This will require greater emphasis on building skills for smaller businesses; increased advice and support on regulatory matters for smaller businesses; making finance available to companies to adopt technologies, such as AI; and facilitating engagement between universities and local businesses. In its response...
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Committee recommendation
31match
#41 - Require CMA to identify and address abuses of market power by AI developers
As the regulator responsible for promoting competitive markets and tackling anti- competitive behaviour, the CMA should identify abuses of market power and use its powers to stop them. This could take the form of levying fines or requiring the restructuring of proposed mergers. (Paragraph 160) Governance of artificial intelligence (AI) 57
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Committee recommendation
30match
#6 - AI offers benefits for teachers and pupils, but raises assessment questions for coursework.
The benefits for time-pressed teachers using AI models and tools to help prepare lesson plans are clear, and increased availability of personalised learning and tutoring tools could benefit many pupils. However, widespread use of AI raises questions about the nature of assessment, particularly in subjects that rely heavily on coursework.
Matched on
terms: model
Committee recommendation
27match
#16 - NHS Resolution exploring AI to analyse negligence claims data for insights.
Some clinical negligence firms are reportedly using artificial intelligence to triage claims more efficiently and effectively. NHS Resolution holds almost 30 years of experience and data concerning compensation claims.33 NHS Resolution told us it is starting to explore how technology can mine its database to learn more about how claims are made up in terms of damages and...
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Committee recommendation
27match
#56 - Commission a review into AI's future skills and employment consequences, including retraining for automation.
The current Government, or its successor, should commission a review into the possible future skills and employment consequences of AI, along the lines of the 2017 Taylor Review of modern working practices which examined the landscape, suggested ideas for debate and has resulted in legislative change. It should also in its response to this Report tell us how...
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Committee recommendation
26match
#7 - Prioritise equipping children with digital literacy and critical engagement skills for ubiquitous AI.
Education policy must prioritise equipping children with the skills to succeed in a world where AI is ubiquitous: digital literacy and an ability to engage critically with the information provided by AI models and tools.
Matched on
terms: model
Committee recommendation
26match
#2 - AI as a tool, not sentient machines, guided by human instruction.
Nevertheless, the technology should not be viewed as a form of magic or as something that creates sentient machines capable of self-improvement and independent decisions. It is akin to other technologies: humans instruct a model or tool and use the outputs to inform, assist or augment a range of activities. (Paragraph 16) Benefits
Matched on
terms: model
Committee recommendation
23match
#25 - 74th Report - Environmental regulation
Natural England told us it has made progress in improving its guidance through adding real-life case studies so that businesses can understand what they need to do to comply.66 Defra also explained it has piloted the use of AI tools such as chatbots to help farmers locate the right guidance more easily.67 Natural England stated that it is...
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Committee recommendation
18match
#3 - 17th Report – Pre-appointment hearing with the Government's preferred candidate for the Chair of the Competition...
Mr Gurr told us that fiscal constraints mean the CMA cannot expect to hire more people, and it must therefore make the most of those they have. Its 4P transformation programme is vital to achieving this, and he also pointed out that investments in AI will increase the CMA’s productivity. We expect the CMA to complete its 4P...
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Committee recommendation
14match
#5 - AI tools already provide useful time-saving benefits for education professionals and students.
AI tools are already useful time-savers for education professionals, and whilst reliable data is hard to come by, it seems highly likely that the technology is this generation of students’ calculator or smartphone.
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