Empowering SMEs to lead with Responsible AI: Insights from TechUK’s AI Adoption Panel

At the recent TechUK event, AI Adoption for SMEs: Research Insights & Practical Guidance, Dr. Joshua Hughes, Senior Research Manager at Trilateral Research had the privilege of speaking about the results of our contribution to the RAISE project on developing guidelines on the responsible use of generative AI for SMEs in the UK and Africa. Presenters explored how small and medium-sized enterprises (SMEs) can effectively implement responsible AI practices, even when faced with limited budgets and technical expertise. As Trilateral Research’s experience has shown, responsible AI is not just a regulatory requirement or ethical imperative but a strategic advantage for SMEs.

Responsible AI as a Competitive Edge

For SMEs, responsible AI can be a differentiator in a crowded market. By embedding ethical considerations into their AI development and deployment processes, SMEs can build trust with customers, partners, and regulators. This trust translates into long-term value, helping SMEs stand out in sectors where transparency, fairness, and accountability are increasingly demanded.

Rather than viewing responsible AI as a burden, SMEs can embrace it as a framework for innovation. It encourages thoughtful design, risk mitigation, and alignment with societal values—qualities that resonate with today’s consumers and investors.

Tools and Resources to Support Responsible AI

One of the key challenges SMEs face is that many resources on responsible AI are intended for large companies with many support functions, which are very different from SMEs where there is a significant diversity in size, domain, functions, and responsibilities for staff members. However, practical tools and resources are more available than ever.

At Trilateral Research, we’ve developed the STRIAD® AI Assurance tool, which helps organisations understand, assess, and improve the trustworthiness of their AI systems. This tool can support SMEs in identifying ethical risks, aligning with regulatory requirements, and documenting their compliance efforts without needing a large in-house AI ethics team.

Additionally, the RAISE project, funded by the UK’s Responsible AI (RAI) programme, has produced guidelines for the responsible use of generative AI by SMEs. These guidelines offer actionable advice tailored to the unique constraints and opportunities SMEs face, helping them navigate the evolving AI landscape with confidence.

Building Accountability into SME AI Practices

Accountability is a cornerstone of responsible AI. The panel highlighted several practical steps SMEs can take to embed accountability into their operations:

• Assign Responsibility: Designate individuals within the organisation to develop responsible AI practices. This could evolve into formal roles, such as an AI ethics officer, similar to how data protection officers have become standard in GDPR compliance.
• Foster Ethical Culture: Encourage ongoing discussions among staff about the ethical implications of AI. This helps create a culture where responsible AI is not a one-off checklist but a continuous, collaborative effort.
• Engage with Peers: SMEs can benefit from connecting with similar organisations to share best practices, challenges, and lessons learned. Peer networks can be a powerful source of support and innovation.
• Invite External Scrutiny: Transparency builds trust. SMEs can expose their AI practices to external review—such as research ethics committees for R&D efforts—or publish transparency reports detailing their efforts to mitigate bias, implement privacy-by-design, and comply with standards like the UK Transparency Standard or ISO 42001.

These measures not only encourage improvement in internal governance but also demonstrate a commitment to responsible innovation to external stakeholders.

Staying Current Through Regulatory Engagement

The regulatory landscape for AI is evolving rapidly, particularly in the UK, where the government’s Pro-Innovation Approach to AI Regulation encourages collaboration between regulators and industry. SMEs have a unique opportunity to shape and stay ahead of these developments by:

• Engaging with Regulators: Proactively sharing their approaches to responsible AI and seeking feedback can help SMEs align with emerging expectations and influence the development of practical, proportionate regulations.
• Participating in Consultations: Many regulators are actively seeking input from SMEs to ensure that new rules are workable across different business sizes and sectors.
• Monitoring Guidance Updates: Staying informed about updates about responsible AI support tools like the AI risk assessment framework from the Information Commissioner’s Office (ICO), or the AI Management Essentials Tool from the Department for Science, Innovation and Technology (DSIT), can support SMEs to remain compliant and competitive.

SMEs as Responsible AI Leaders

SMEs are not too small to lead on responsible AI. With the right tools, a commitment to ethical culture, and proactive engagement with regulators and peers, SMEs can not only meet the challenges of responsible AI but turn them into opportunities for growth and leadership.

At Trilateral Research, we’re proud to demonstrate our capability as an SME advancing ethical AI, and support other SMEs on their responsible AI journey. With tools like STRIAD® AI Assurance, our Responsible AI services, and work in collaborative projects like RAISE to keep our knowledge and skills up-to-date, we are well placed to assist other organisations in enhancing their efforts at developing responsible AI. If you’re an SME looking to take steps toward responsible AI, we invite you to connect with us.