How should organizations control AI decision making?

Artificial intelligence is transforming decision-making across industries, but how can organizations ensure its use remains ethical, responsible, and aligned with their values?

To explore this complex yet critical question, we begin with James Taylor, an award-winning entrepreneur and global keynote speaker, who shares his insights into controlling AI decision-making. His perspective offers a compelling starting point for understanding how businesses can balance innovation with accountability.

Watch the video to uncover his strategies and thought-provoking ideas, with more perspectives to be added soon.

James Taylor

James Taylor outlines a thoughtful approach to controlling AI decision-making, emphasizing that AI is never neutral and reflects the values of its creators. He stresses the need for organizations to establish clear ethical frameworks, define acceptable risks, and specify decisions requiring human judgment. Effective governance, James explains, must involve cross-functional teams that align AI with both business goals and social responsibility. Transparency is vital—not just in technical explainability but in fostering trust among stakeholders, employees, and regulators. He underscores the importance of auditability as a means of ensuring accountability, particularly in regulated sectors.

Drawing an analogy, James describes AI as a powerful engine that demands a steering wheel, a dashboard, and a capable human driver. Ultimately, ethical clarity, oversight, and organizational values must guide AI, ensuring it serves as a tool for progress rather than risk.