Theme: Trustworthy AI: From Principles to Practice - Report Launch Reception
Date: October 29, 2026
Time: 6:00pm-8:30pm
Location: Central London
Capgemini is collaborating with the UK AI Industry Association (UKAI) to host an exclusive, invitation-only event marking the launch of Trustworthy AI: From Principles to Practice – A Framework for Innovation, Accountability and Adoption.
Bringing together senior leaders and AI practitioners, the event will explore how organizations can turn AI principles into practical action—building trust, strengthening accountability and enabling responsible innovation—while offering an opportunity to exchange perspectives, gain actionable insights and connect with peers shaping the future of trustworthy AI.
What to Expect
The evening brings together leaders shaping the AI trust agenda to explore what makes AI trustworthy and how trust can be demonstrated in practice.
- A first look at the report’s findings, produced in partnership with Capgemini
- Perspectives from senior contributors across financial services, legal, data and compliance
- Insights beyond the regulation conversation, exploring what makes AI trustworthy in practice
- Connections with UKAI members and contributors working at the frontier of AI governance, adoption and innovation
- An evening of informal networking and exchange around the future of trustworthy AI
Shape the Future of Trustworthy AI
Be Part of the Conversation
Join an exclusive gathering of leaders shaping the future of trustworthy AI. Hear the thinking behind the new report, exchange perspectives with peers and explore how its principles can translate into practical action for your organization.
Connect with the leaders shaping what’s next in AI.
Schedule a Meeting
Please fill in the details below and provide your preferred time slot to meet us at the event.
FAQs
1. What is trustworthy AI?
Trustworthy AI refers to artificial intelligence systems that are designed, developed, deployed, and monitored with appropriate safeguards to ensure reliability, transparency, accountability, fairness, security, and human oversight. It helps organizations build confidence in AI technologies while addressing potential risks and supporting responsible innovation.
2. Why is trustworthy AI important for businesses?
Trustworthy AI is important because it helps businesses address risks associated with AI adoption, strengthen governance and accountability, protect stakeholder interests, and build confidence in AI-driven decisions. By incorporating responsible AI practices into business operations, organizations can support sustainable AI adoption while balancing innovation, compliance, and risk management.
3. What is the difference between trustworthy AI and responsible AI?
Trustworthy AI and responsible AI are closely related concepts. Responsible AI focuses on the principles, policies, and practices that guide the ethical development and use of artificial intelligence. Trustworthy AI emphasizes the safeguards and characteristics that help establish confidence in AI systems, including transparency, reliability, accountability, security, and appropriate human oversight. Both approaches support the safe and effective adoption of AI.
4. How can organizations implement AI governance?
Organizations can implement AI governance by establishing clear accountability, defining AI policies and standards, assessing risks throughout the AI lifecycle, documenting decisions, monitoring model performance, and implementing appropriate human oversight. Regular reviews, transparent processes, and alignment with applicable regulatory requirements can help organizations manage AI-related risks and promote responsible deployment.
5. What does the Trustworthy AI: From Principles to Practice report explore?
The Trustworthy AI: From Principles to Practice report launch focuses on translating trustworthy AI principles into practical approaches for organizations. It addresses the importance of AI governance, accountability, and responsible implementation in supporting AI adoption. Please supplement this answer with the report's verified findings, key recommendations, and any original research insights to ensure that the content accurately reflects the publication.
6. Who should explore trustworthy AI frameworks?
Trustworthy AI frameworks are relevant to business leaders, technology executives, data and AI teams, risk and compliance professionals, legal teams, and decision-makers responsible for AI strategy and implementation. These frameworks can help organizations establish governance practices, evaluate AI-related risks, and integrate appropriate safeguards into enterprise AI initiatives.