AI prototype for UK welfare system falls out as civil servants fall for false starts | Artificial Intelligence (AI)

Ministers have shut or dropped at least a dozen artificial intelligence prototypes designed for welfare systems.

Pilot AI technology to improve employee training, improve job-focused services, speed disability benefit payments, fail to modernize communication systems, and Freedom of Information (FOI) requests uncovered.

Officials have acknowledged internally that the AI ​​system is scalable and reliable. [and] Thorough testing is a major challenge, he says, and there are many setbacks and false starts.

Not all of the tests are expected to be used regularly, but two of those now scrapped were highlighted by the Department for Work and Pensions (DWP) in its latest annual report. concept.

A-Cubed is intended to help employees find job seekers. Aigent needed to accelerate personal independence payments that millions of people with disabilities rely on.

This month the Prime Minister declared that AI is the way to transform our public services and wrote to all cabinet ministers making driving AI adoption and growth a top priority for their departments.

Failed pilots and trials are necessarily a cause for concern because they provide opportunities for improvement, but these failures raise important questions about the government's approach to AI in the public sector, said Imogen Parker, deputy director of the independent Ada Lovelace Institute. The research institute focused on data and AI. Are the right lessons learned and acted upon, and do the realities of AI match the rhetoric?

Information about the DWP's use of AI in the welfare system has not yet been released to the Government Algorithms Transparency Register across Whitehall for a year.

Officials say the time spent on pilot software was not wasted because the technology could appear as part of a later rolled out system, and thorough testing is essential before rollout. But the move demonstrates the complexities of labor hoping to deploy AI to revolutionize public services and boost economic productivity.

This week, Peter Kyle, Secretary of State for Science, Innovation and Skills, launched a blueprint for a modern digital government, and his department said AI will work to accelerate our ability to plan change, improve lives and drive growth. He said he would do it. .

Writing in December after a year running I.AI, the Whitehall Ai Incubator, director Laura Gilbert admits there are a wealth of blockers, frustrations and false starts, but when something fails, we try and try again and look for a different route. . It affects.

She said 11 of the 57 ideas tested will be released at various stages of testing and scaling. She added that they are working with US AI companies including OpenAi, Anthropic, Google and Microsoft.

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DWP officials told the technology company in a private meeting in August that the product was scalable and reliable. [and] Thorough testing is a major challenge in moving AI systems from proof of concept. [POC] End use, according to meeting notes released at FOI. They showed that about nine POCs have been completed so far and one POC survived.

Parker is encouraged that the public sector is not taking a rigid or dogmatic approach to AI, especially in welfare, where there are significant risks of amplifying inequalities and causing real injustice. However, lack of transparency remains a significant issue [It] Journalism should not rely on investigative openness, evaluation and learning.

DWP declined to comment on the specific reasons why the AI ​​pilot was withdrawn, but considerations may include technology maturity, business readiness, business value and scalability. It said it rigorously tests how much value the technology provides to officials and the public, as well as value for money.

A government spokesperson said: Proof-of-concept project projects are intentionally short to allow exploration and prototyping of new and innovative technologies, and not all projects are expected to be long-term, so that learning from them can be used in the future.

This is consistent with the scan, pilot, scale approach outlined in the AI ​​Opportunity Action Plan. Because we recognize the enormous potential of AI to transform public services and save taxpayers billions.

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