An independent consultancy focused on the assessment and governance of AI systems — bringing together expertise in computer science, law, and ethics.
Adele is a legal and governance specialist with over a decade of experience advising on AI, data, and emerging technologies. She served as Head of Responsible AI at G42, where she established and operationalised a group-wide Responsible AI function, embedding legal, policy, and technical governance across complex deployments. Adele contributed to founding the Responsible AI Future Foundation with Microsoft, MBZUAI, and G42. She advises boards and senior executives on AI risk, compliance, and strategic governance across sectors, and previously served as Deputy General Counsel at Inception on global AI initiatives worldwide.
Laura is an AI ethics and governance specialist with a PhD in philosophy, political science, and economics. She develops responsible AI frameworks and tools for ethical design, deployment, and governance across public and private sectors. Laura has served as an associate researcher at Harvard University's Department of Philosophy and as an AI ethicist at Northeastern University's Institute for Experiential AI. She previously led ethics and policy at the Responsible AI Future Foundation and has worked with the AI Ethics Lab and as an industry consultant. Laura is also a Responsible AI panelist at MIT Sloan Management Review.
Our team brings together expertise in computer science, law, and ethics. We work as an interdisciplinary group so that AI systems can be examined not only for technical performance, but also for legal defensibility and societal impact.
Many of the most consequential challenges associated with AI systems sit at the intersection of technical design, legal obligations, and normative questions about impact and accountability. Our approach allows us to consider these dimensions together rather than in isolation — producing assessments that are both rigorous and practical.
An AI ecosystem in which high-impact systems are routinely scrutinized before and after deployment — where technical performance, legal accountability, and societal consequences are treated as inseparable. Responsible AI evaluation as a standard part of decision-making, not an afterthought.
To support the safe, responsible, and trustworthy development and deployment of AI systems through rigorous, interdisciplinary assessment of technical risk, legal obligations, and societal impact. We help organizations identify failures, understand their implications, and respond in ways that are practical and defensible.
Reach out to discuss how we can support your organization.