Found: other digital technology, program, platform or application, including those which utilise artificial
Found: reviewed to assess its competence to deal with the challenges, opportunities and risks inherent in Artificial
Apr. 24 2024
Source Page: Independent Review of Disclosure and Fraud Offences: preliminary findingsFound: Technology and Artificial Intelligence (AI) 22.
Asked by: Andrew Rosindell (Conservative - Romford)
Question to the Department for Education:
To ask the Secretary of State for Education, what steps she is taking to improve access to artificial intelligence training.
Answered by Damian Hinds - Minister of State (Education)
The department is committed to creating a world-leading skills system which is employer-focused, high-quality and fit for the future.
The department will continue its work to ensure that the education system is able to adapt to deliver upskilling and to provide the skills that learners need for the workplaces of the future, including jobs that will be impacted by, or require the use of, artificial intelligence (AI).
World class T Levels are boosting access to high-quality technical education for thousands of young people and creating a skilled workforce for the future. 18 T Levels are available in a range of in-demand subject areas, including T Levels in digital subjects, which have been designed by employers and will help to equip students with the skills and knowledge required for great careers in the digital industry.
Employers have designed over 30 high-quality apprenticeships in digital occupations, including Level 7 Artificial Intelligence Data Specialist, which will provide cutting edge skills in AI. Since it was introduced in May 2020, starts in this standard have grown from 100 in the 2020/21 academic year to 350 in the 2022/23 academic year.
The Institute for Apprenticeships and Technical Education (IfATE) are revising the Level 7 Artificial Intelligence Data Specialist standard this year to ensure it meets employers’ needs. They have also developed Level 5 in Data Engineering and are currently developing Level 6 Machine Learning Engineer. These standards include high levels of content regarding the application and use of AI.
IfATE are also hosting workshops with a range of stakeholders to discuss the impact of AI on skills requirement across the economy and will be updating the Digital Skills and Characteristics Framework with AI-related content when it is revised next year. This will ensure all employers are thinking about the use and impact of AI when developing or revising occupational standards.
Skills Bootcamps are delivering skills training for the digital sector in 2024/25 in each English region. There are also online Skills Bootcamps in AI Marketing and Content Creation and AI and Machine Learning.
Higher Technical Qualifications (HTQs) provide the skills needed for a range of specialist digital occupations, such as cyber security technologist and software developer. There are 56 digital HTQs currently approved for teaching and a further ten approved for teaching from September 2024. HTQs provide a range of opportunities and pathways to build up the skills needed for AI-related roles.
In higher education, the department is working with the Department for Science, Innovation and Technology to deliver new postgraduate AI and data science conversion courses to boost skills and diversity in AI jobs. The government is also investing £117 million in doctoral training for AI researchers.
In 2023, the department’s Unit for Future Skills (UFS) developed a Science and Technology Jobs and Skills Dashboard to understand the supply and demand of science, technology, engineering, and mathematics skills to develop critical technologies like AI and quantum. This data will support improved access to relevant training.
The UFS has also undertaken analysis which attempts to quantify the impact of AI on the UK job market. It shows the occupations, sectors and geographic areas expected to be most affected by AI and large language models, as well as the training routes that typically lead to these highly affected jobs.
Digital and computing skills will play an important role for individuals developing and using AI in the future workforce. The department is harnessing government and external expertise through the Digital and Computing Skills Education Taskforce to increase the number of people taking digital and computing qualifications and attract a diverse range of individuals into digital jobs.
Asked by: Jonathan Ashworth (Labour (Co-op) - Leicester South)
Question to the Department for Transport:
To ask the Secretary of State for Transport, what steps his Department has taken to reduce the costs of error in the last three financial years.
Answered by Anthony Browne - Parliamentary Under-Secretary (Department for Transport)
The Department was recently requested to set out the steps it has taken to reduce the costs of fraud in the last three financial years: this response is provided in the Annex below. The Public Sector Fraud Authority (PSFA) defines the difference between fraud and error in relation to the dishonest intent of the individual or organisation involved in the incorrect payment. “Fraud” represents losses to the Department caused with intent by a counterparty. “Error” represents losses to the Department where intent cannot be proven. As the difference between fraud and error relates to the established intent of the counterparty rather than the activity itself, the Department has a single controls and assurance regime over fraud and error, which is set out in the Annex below.
In addition, the Department operates business-as-usual transactional and analytical controls to mitigate and detect risk of financial error caused by administrative errors.
Annex A – Parliamentary Question 22574 To ask the Secretary of State for Transport, what steps his Department has taken to reduce the costs of fraud in his Department in the last three financial years.
Response provided on 23 April 2024
Since the establishment of the Public Sector Fraud Authority (PSFA) in 2022, the Department has been working closely with PSFA to implement the Counter Fraud Functional Standard framework, a common set of standards required by government departments to counter fraud, bribery, and corruption. To support compliance with the Functional Standard, the Department internally published its Counter Fraud, Bribery and Corruption Strategy for 2022-2025 to improve culture and awareness and build on the counter fraud activity delivered since the launch of DfT’s first strategy in 2019.
The following key activities have taken place to drive improvements in reducing fraud by improving detection activity, enhancing fraud prevention and building capability.
To support detection activity the department utilises Spotlight, a due diligence tool provided to departments by the Cabinet Office to help identify areas of risk and potential fraud and error. The department has also commenced a data analytics project utilising artificial intelligence to identify instances of fraud and error within high-risk spending areas. This initiative is providing comprehensive insights into fraudulent activities and errors that can be used to further strengthen controls and seek recovery of funds where fraud or error is identified. The Department’s contract management teams have furthermore increased their focus on fraud risks and detection, resulting in substantial sums recovered and returned to the Exchequer. Detected, prevented and recovered fraud is formally disclosed to the Cabinet Office who report publicly on these results across government in their annual Fraud Landscape Report.
On fraud prevention, a Fraud Risk Assessment (FRA) policy was introduced to enable accountable officers across DfT to take responsibility in ensuring that fraud, bribery, and corruption risks are adequately understood and effectively managed. The FRA process has been embedded into business-as-usual activity and has supported the department in identifying fraud risks, driving control improvements, and fostering continuous improvement in fraud risk management practices.
To build capability DfT has increased its engagement with the PSFA to enhance oversight, prioritisation of risks, delivery against counter fraud functional standards and sharing of best practice. We have increased our collaboration across the departmental group and across government networks to share lessons learnt, horizon scan for new and emerging trends and deliver collaborative best practice workshops, training sessions and awareness campaigns on areas of development e.g. risk assessment.
In 2023 and early 2024, DfT was one of the first departments assessed under the latest framework by PSFA for compliance against the Counter Fraud Functional Standard. The Department is now working with PSFA to take forwards the recommendations from this review to drive further improvements in the Department’s counter-fraud function.
Oral Evidence Apr. 23 2024
Inquiry: UK-EU data adequacyFound: That helps us to apply the same rules to an NHS trust as we do to an emerging technology such as artificial
Apr. 23 2024
Source Page: Intergovernmental Relations Annual Report 2023Found: teaching and learning, including the opportunities and risks presented by emerging technologies like artificial
Apr. 23 2024
Source Page: Government plan to save 38 million hours of police timeFound: announced in the spring budget, this investment will go towards innovation such as knife detection and artificial
Apr. 23 2024
Source Page: Policing Productivity Review: government responseFound: It will also help prepare policing for both the challenges and benefits bought by advances in artificial
Written Evidence Apr. 23 2024
Inquiry: Developing AI capacity and expertise in UK DefenceFound: The Committee will be aware that huge strides are being made in the application of artificial intelligence