AI in Public Services: Balancing ethics, innovation, and human-centred design

Written by Amanda Payne, Experience Strategy Director, Sopra Steria Next UK

The Digital Leaders AI First Public Services Conference featured a packed agenda of speakers and thought leaders discussing the ethical considerations of AI and the opportunities it can bring to public services.

As table hosts, Sopra Steria Next facilitated discussions on key concerns, including the risks of over- and under-regulation, the necessity of strong data architecture, and the crucial role of cultural change in technology implementation.

The overall sentiment of the day leaned towards cautious optimism, with AI seen as a powerful tool for enabling human-centred service delivery.

 

What were the key themes from the conference?

Building confidence in AI solutions

Jean Innes from the Alan Turing Institute and Theo Blackwell from GDS emphasised that trust in AI is built by designing solutions with users, not for them. Their examples showcased how co-designing AI systems is essential, whether in the form of a ’Digital Heart’ or AI applications for local government.

User-centred AI application

Speakers such as Tom Nixon, alongside case studies about NatureScot and FCDO, reinforced the idea that AI must be rooted in user-centred design and Agile principles. AI is not a substitute for human involvement in public services but a tool to improve efficiency, enabling staff to focus on the most critical tasks.

Morning discussions highlighted front-end services as a key area where AI can drive efficiencies and deliver ROI. Multi-channel services, for instance, were identified as a major pain point for citizens. AI can streamline navigation through public services, reducing frustration and easing pressure on civil servants and frontline staff. There was also a consensus that public services should evolve to match user experiences found in private-sector services like banking and utilities.

Lord Kulveer Ranger shared insights on the importance of investing in user experience, adoption, and culture change in any digital transformation effort—on par with engineering, development, and transition.

Regulation shouldn’t hinder innovation

Chi Onwurah, MP, delivered an inspiring message on the intersection of technology and politics, advocating for a well-regulated but not overly restrictive approach to ethical AI.

The conference discussions reinforced five key pillars for AI ethics in public services:

  • Risk and reward balance: Carefully weigh risks such as bias, sustainability, and unintended harm against benefits.
  • Meeting user needs: Ensure inclusivity so no one is left behind.
  • Human-centric design: Services must continue to focus on the people who deliver and use them.
  • Transparency: Maintain openness and accountability throughout AI implementation.
  • Progress over perfection: Avoid letting perfectionism hinder meaningful progress.

Final reflections

The event provided valuable insights into the tangible applications of AI in public services while emphasising ethical considerations and efficiency gains. As AI continues to evolve, ensuring it remains an enabler rather than a replacement for human-led services will be key to its success in the public sector.


Originally posted here

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