As artificial intelligence becomes integral to business operations, organisations face mounting pressure to deploy these technologies responsibly. This session addresses the critical intersection of AI innovation and ethical governance, providing attendees with practical frameworks for managing data and AI ethics within their organisations.

 Participants will explore real-world consequences of AI ethics failures, from biased hiring algorithms to multi-million euro regulatory fines. The presentation introduces the TRACE methodology – a five-step control framework covering Transparency, Risk Assessment, Accountability, Continuous Monitoring, and Ethical Review – designed for implementation across any sector or organisation size.

Rather than treating ethics as mere compliance, this talk repositions it as competitive advantage, demonstrating how ethical AI practices build customer trust, attract talent, and future-proof businesses. Attendees will leave with actionable strategies, governance structures, and a 90-day implementation roadmap to begin integrating ethical AI controls immediately.