Month: May 2025

Do we need yet another body to help local government harness the potential of AI?

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Dr Caroline Webb, Dr Stephen Jeffares, and Dr Tarsem Singh Cooner

Does local government need a devolved AI service to help the sector successfully harness the transformative power of AI? A new paper from the Tony Blair Institute (TBI) thinks so.

In their recent report “Governing in the Age of AI: Reimagining Local government” TBI make the case that local government faces several significant challenges – there’s a growing backlog of people seeking support coupled withdwindling resources and two thirds of funds must be spent on social care. Satisfaction is declining. Over £1.8bn is spent by the sector on technology, but innovation is stifled by a patchwork of legacy systems. The solution TBI suggest is the universal embracing of AI tools, but which is orchestrated, curated, supported and (one day perhaps) exploited via the establishment of a Devolved AI Service (DIAS).

The adoption of AI by councils continues to accelerate. Vendors of these tools extol the positive outcomes of AI, suggesting that “the day-to-day tasks of local government, whether related to the delivery of public services or planning for the local area, can all be performed faster, better and cheaper with the use of AI” (p3).  The UK, they argue, could save £200 billion over five-years though AI related productivity improvements (p7).

Whilst AI undoubtedly has the potential to increase the efficiency of some public services, we must pause to ask is it really the panacea that it is being marketed as, and are some public services being unfairly targeted by technology firms looking to promote their products and capitalise on an emerging market?

There is a clamour in the social care sector for example, which accounts for 64.8 per cent of the total budget for local government in England, to develop AI tools that can offer significant time savings, with the rationale that workers can spend more quality time with clients and less time on completing paperwork.  TBI cite Beam’s automated note-taking tool Magic Notes, that aims to transform social workers’ productivity by saving them s up to ‘a day per week on admin tasks’. Yet without external scrutiny and verifiable evaluation, such figures are little more than marketing claims.

As these technologies are capturing and summarising meetings to support some of the most vulnerable members of society, there is a need for local councils to interrogate these marketing claims critically before committing to such AI tools.  Despite safeguards such as ensuring a ‘human in the loop’, if these claims are not thoroughly examined there is a danger that these technologies may serve to reinforce and perpetuate existing biases, pose risks to clients’ data privacy and safety, strengthen process-driven systems which undermine person-centred decision making, and erode the relational foundations on which these services are built.

Of course, AI has numerous applications beyond reducing the cost of resource intensive casework. It has the potential to address some of the most despised and most intractable local policy problems (potholes, mould, chronic pain, mental health waiting lists). But the desirability of these innovations should not cause us to forget that these technologies themselves are not neutral, and just as they can lead to positive outcomes, if they are misused or implemented without proper ethical considerations, then adverse effects are just as likely to emerge.

The proposed introduction of a Devolved AI Service may go some way to ensuring a set of standardised safeguards, allowing for a coordinated approach to AI adoption within public services.  This collective approach could reduce duplication, provide practical support for the implementation and evaluation of sector-specific AI tools and facilitate a collaborative approach to working with technology providers to improve their products.  However, is it necessary to impose another central regulator on Local Government? There is already considerable piloting and evaluation of AI tools being conducted at the local level. These sector-specific evaluations are facilitating opportunities for shared horizontal learning across organisations. But it is vital that these results are shared, and that the evaluative measures and methods being employed are not imposed by the vendor of the tool, but rather determined by the needs of the organisation and the people they serve. Such evaluation should also consider more than value for money or accuracy, but also the experiences of frontline staff and citizens.

Ultimately, irrespective of how we chose to oversee the integration of AI tools, we must not lose sight of the fact that these tools should only be viewed as ‘part’ of the solution to providing effective public services, not the ‘whole’ answer as some technology companies may lead us to believe.

Dr Caroline Webb, Dr Stephen Jeffares, and Dr Tarsem Singh Cooner are academics at the University of Birmingham exploring how AI is reshaping frontline public service. Combining expertise in social work, public policy, and digital ethics, they develop training and research that support practitioners to engage critically and confidently with emerging technologies. Their work champions ethical, human-centred innovation in public services.

How Neighbourhoods Shape Perceptions: Local Organisations, Racial Inequality, and Financial Attitudes

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We are delighted to announce the inaugural Autar Dhesi Lecture hosted by our sister school, the Birmingham School of Social Policy and Society at the University of Birmingham on Tuesday 17th June 2025 from 14.00-16.00 at G15, Muirhead Tower, University of Birmingham Edgbaston Campus.

To attend this event, please click on the Eventbrite link – https://www.eventbrite.co.uk/e/how-neighborhoods-shape-perceptions-local-organizations-racial-inequality-tickets-1326266953159?aff=oddtdtcreator

Professor Mario Small, Columbia University, USA

How do neighbourhood environments affect perceptions? This lecture examines how neighbourhood context contributes to racial differences in financial attitudes. Professor Small focuses on alternative financial institutions (AFIs) such as payday lenders, which in the U.S. are overrepresented in predominantly African American neighbourhoods. Based on survey, experimental, and qualitative interview data, it demonstrates that neighbourhood exposure to payday lenders significantly shapes perceptions, resulting in more positive attitudes toward the lenders. The effect operates through three mechanisms: convenience, concrete experience, and comparative assessment, as negative experiences with conventional banks play a role. It explores implications for our understanding of how neighbourhoods matter and how institutional conditions play a role in racial inequality.

Mario L Small, PhD is Quetelet Professor of Social Science in the Department of Sociology at Columbia University. He has made numerous contributions to research on urban neighbourhoods, personal networks, qualitative and mixed methods, and many other topics. He has shown that poor neighbourhoods in commonly-studied cities such as Chicago are not representative of ghettos everywhere, that how people conceive of their neighbourhood shapes how its conditions affect them, and that local organizations in poor neighbourhoods often broker connections to both people and organizations. Professor Small has demonstrated that people’s social capital—including how many people they know and how much they trust others—depends on the organizations in which they are embedded. His work on methods has shown that many practices used to make qualitative research more scientific are ineffective. Small’s most recent book examines why people are consistently willing to confide their deepest worries to people they are not close to.

WITH THANKS TO THE AUTAR DHESI ENDOWMENT FUND

We are delighted to present the first in our Annual Autar Dhesi Lecture Series. Professor Autar Singh Dhesi graduated from the University of Birmingham with a MSc in National Economic Planning in 1971 and later in 1974 with a PhD in Economics.  He then built a distinguished career at Guru Nanak Dev University before being appointed as a consultant to the World Bank, Washington DC, in 1982. He continued his career as Professor at Guru Nanak Dev University and later at the Punjab School of Economics. His major areas of specialisation include economic development and planning, public policy, sustainable development, human and social development, higher education and NGOs. Professor Dhesi has authored over 100 publications in community building, diaspora, social action, modernisation and economic development.

In 2023 Professor Dhesi reconnected with the University of Birmingham to share his philanthropic wish to create an endowed guest lecture in social capital and community building in the School of Social Policy and Society. This gift will enable exchange of knowledge and meaningful exploration; two themes that were exemplified by Professor Dhesi’s career and achievements.