Independent review
Growing the Artificial Intelligence Industry in the UK
Government response
The government responded to the review on 26 April 2018.
AI Sector Deal
Summary written by Accountability Index from the government's response. It is not the government's own words.The government presents the AI Sector Deal as its response to the review, saying it "responds to the recommendations of the AI Review" and "delivers on" them.
- On governance, the government says it will establish an AI Council, an Office for Artificial Intelligence and a Centre for Data Ethics and Innovation, with the Council to "oversee implementation of the deal". The implementation plan gives Quarter 2 2018 for the AI Council and the Office for AI.
- On skills, it commits to "build towards" an additional 200 AI doctoral studentships a year by 2020 to 2021, and to develop a Turing Fellowship programme.
- On data, it says it will "explore" frameworks such as Data Trusts and work with industry and data holders to identify barriers to sharing data.
- It notes that Industrial Strategy Challenge Fund challenges are subject to HM Treasury business case approval.
[Withdrawn] AI Sector Deal
About this review
Summary written by this siteIndependent review examining how the UK can develop and grow its artificial intelligence industry, making recommendations on data access, skills, research investment and adoption across the economy.
Recommendations 18
Recommendation 1
To facilitate the sharing of data between organisations holding data and organisations looking to use data to develop AI, Government and industry should deliver a programme to develop Data Trusts – proven and trusted frameworks and agreements – to ensure exchanges are secure and mutually beneficial.
Recommendation 2
To improve the availability of data for developing AI systems, Government should ensure that public funding for research explicitly ensures publication of underlying data in machine-readable formats with clear rights information, and open wherever possible.
Recommendation 3
To support text and data mining as a standard and essential tool for research, the UK should move towards establishing by default that for published research the right to read is also the right to mine data, where that does not result in products that substitute for the original works. Government should include potential uses of data for AI when assessing how to support for text and data mining.
Recommendation 4
Government, industry and academia must embrace the value and importance of a diverse workforce for AI, and should work together to break down stereotypes and broaden participation.
Recommendation 5
Industry should sponsor a major programme of students to pursue Masters level courses in AI, with an initial cohort of 300 students.
Recommendation 6
Universities should explore with employers and students the potential demand for one-year conversion Masters degrees in AI for graduates in subjects other than computing and data science.
Recommendation 7
Government and universities should create, at a minimum, an additional 200 PhD places dedicated to AI at leading universities. As the UK trains and attracts additional academic talent, this number should grow continually year on year.
Recommendation 8
Universities should encourage the development of advanced credit-bearing AI MOOCs and online Continuing Professional Development courses leading to MScs for people with STEM qualifications to gain more specialist knowledge.
Recommendation 9
An International fellowship programme for AI in the UK should be created in partnership with the Alan Turing Institute: the Turing AI Fellowships. This should be supported by a targeted fund for identifying and recruiting the best talent, and by ensuring that the UK is open to any and all of the eligible experts from around the world.
Recommendation 10
The Alan Turing Institute should become the national institute for artificial intelligence and data science, becoming truly national and expanded beyond the current five universities, with a key stated aim that centres its mission on artificial intelligence.
Recommendation 11
Universities should use clear, accessible and where possible common policies and practices for licensing IP and forming spin-out companies.
Recommendation 12
The Alan Turing Institute, Engineering and Physical Sciences Research Council (EPSRC), Science and Technology Facilities Council (STFC) and Joint Information Systems Committee (JISC) should work together to coordinate demand for computing capacity for AI research, and negotiate for the UK research community.
Recommendation 13
Government should work with industry and experts to establish a UK AI Council to help coordinate and grow AI in the UK.
Recommendation 14
The Information Commissioner's Office and the Alan Turing Institute should develop a framework for explaining processes, services and decisions delivered by AI, to improve transparency and accountability.
Recommendation 15
The Department for International Trade should expand its current support programme for AI businesses.
Recommendation 16
TechUK should work with the Royal Academy of Engineering, the Digital Catapult, and key players in industry sectors, to develop practical guidance on the opportunities and challenges of successful adoption of AI across the UK economy.
Recommendation 17
Government, drawing on the expertise of the Government Digital Service, the Data Science Partnership and experts working with data in other Departments, should develop a programme of actions to prepare the public sector and spread best practice for applying AI to improve operations and services for citizens.
Recommendation 18
Government should ensure that challenges addressed by the Industrial Strategy Challenge Fund (ISCF) and Small Business Research Initiative (SBRI) are designed to attract and support applications of AI across the full range of challenge areas and set funded challenges which use public sector data for AI.
All text above is the review's.
No recommendations have this response.