The board includes leaders from BBC Studios and Staples Canada
Former UK lord chief justice Ian Burnett has been revealed as one of the founding members of AI company Luminance’s new customer advisory board.
Burnett, who stepped down as lord chief justice in 2023, joins senior leaders from law firm Slaughter and May, BBC Studios, Ingram Micro, Staples Canada, and Imerys on the board. The invitation-only forum is intended to drive peer-level discussion on organizations’ approaches to AI transformation, governance, trust, and at-scale adoption.
The board invites leaders in the legal, operations, procurement, and finance sectors to exchange perspectives on emerging trends, organisational challenges and AI-created opportunities through virtual and in-person sessions.
“AI is no longer simply a technology discussion. It has become a leadership discussion. Across every industry, leaders are grappling with questions around adoption, governance, trust and transformation. We established the Customer Advisory Board to bring together a diverse group of senior leaders who are navigating these challenges in real time and to create a forum for meaningful discussion around the future of enterprise AI and contract intelligence,” said Eleanor Lightbody, Luminance CEO, in a statement.
The board will also work with the Luminance leadership team to shape its long-term direction. According to Luminance, the board’s establishment is in line with the company’s commitment to help organizations navigate AI transformation and strengthen cooperation with the leaders spearheading this transformation.
Last month, the International Bar Association established an AI Institute to tackle legal, societal, economic and democratic issues arising from rapidly evolving AI technologies. Dr. Farzana Dudhwala, who served as global AI policy and governance lead at Meta, was named the institute’s founding director.
The IBA identified frontier AI systems, algorithmic accountability, privacy, intellectual property, labour market transformation, access to justice, democratic resilience, and cross-border regulatory coordination as concerns to discuss in the body.
Thomson Reuters also launched the Trust in AI Alliance with senior engineering and product leaders from Anthropic, AWS, Google Cloud, and OpenAI to progress agentic AI system development. The alliance focused on context integrity, immutable provenance, and security against adversarial prompts as three foundational challenges determining whether or not agentic system deserve professional trust.
The first examines whether AI models can preserve critical decision criteria in the process of compressing or segmenting information; the second looks into ensuring that cited source texts are not modified and can be audited; and the third examines the protection of workflows from malicious inputs without affecting system usability.
