Roundtable Event
Speaker: Clair Seymour
Date: 28th May 2026

Introduction & Purpose

In this Coby Philips Community Roundtable, attendees came together to explore a question that many organisations are currently grappling with:

As AI becomes embedded into everyday business processes, have we fully considered its human impact beyond efficiency?

Hosted by Clair Seymour, Business Change Manager at Specsavers, the discussion focused on the human implications of AI adoption, particularly its effect on trust, workplace culture, employer brand, and the employee and candidate experience. The session was designed to be highly interactive, combining expert insight, live polling, breakout discussions, and shared experiences from HR, Talent, and business leaders.

Overview of Discussion

The conversation began by recognising how quickly AI has become part of day-to-day working life across many organisations. While much of the public conversation focuses on productivity and automation, attendees explored the broader organisational implications of AI adoption.

Discussion topics included:

  • How transparent organisations should be about AI involvement in decision-making and communication.
  • When automation begins to feel impersonal rather than helpful.
  • The impact of AI on candidate and employee trust.
  • The challenges associated with data governance, privacy, and information security.
  • The growing concern around “messy data” and how poor-quality data can undermine AI outputs.
  • The changing expectations of candidates and employees in an increasingly AI-enabled world.

Breakout room discussions encouraged attendees to share practical experiences from their own organisations, creating a rich conversation around both the opportunities and challenges presented by AI.

Collaborative Insights

AI Should Enhance Human Capability, Not Replace Human Judgement

A recurring theme throughout the session was that AI delivers the greatest value when it supports people rather than replaces them. Participants discussed how AI can reduce administrative burden, improve efficiency, and free up time for higher-value work, while still requiring critical thinking, context, and human oversight.

Trust and Transparency Are Increasingly Important

Attendees highlighted the importance of being clear about where and how AI is being used. Whether in recruitment, internal communications, or operational processes, organisations must consider how AI use is perceived by employees, candidates, customers, and other stakeholders.

Data Governance Cannot Be an Afterthought

The discussion explored concerns around data privacy, information sharing, and the potential risks associated with generative AI tools. Participants agreed that organisations need clear policies, guidance, and governance frameworks to ensure AI is used responsibly and safely.

Candidate Experience Remains a Human Issue

Several attendees shared observations around AI-assisted applications and AI-assisted screening processes. The group discussed how organisations can balance efficiency with fairness, ensuring recruitment processes still allow for individuality, context, and meaningful human interaction.

Organisations Need Clear Guidance Around AI Use

A strong theme emerging from the conversation was the need for organisations to move beyond informal experimentation and towards shared understanding. Attendees discussed the value of creating internal guidance, encouraging open conversations about AI, and establishing consistent expectations around responsible use.

Conclusion

The session concluded with a shared recognition that the conversation around AI is no longer simply about whether organisations should use it, but how they use it responsibly.

While AI presents significant opportunities to improve efficiency and unlock innovation, the discussion reinforced that successful adoption depends on maintaining trust, protecting data, supporting people, and preserving the human elements that underpin culture, collaboration, and employer brand.

As organisations continue to evolve their approach to AI, the challenge is not simply implementing the technology, but ensuring it strengthens rather than diminishes the experiences of the people it is intended to support.