When AI shapes a consequential decision, who is accountable for the outcome?
A payment is declined. A credit application is rejected. A fraud alert is closed. Months later, someone asks why-and the organization must explain what happened, who owned the decision, and how it can be reviewed.
Leadership in the Age of Artificial Intelligence connects that responsibility to practical leadership and system design.
Drawing on financial-services scenarios, Rajeew Vishvakarma develops a governance-first approach built around five pillars: decision ownership, evidence capture, traceability, role-based explainability, and continuous governance.
Inside, you will explore how to:
- Assign responsibility across business, technology, operations, and control teams.
- Preserve decision evidence for historical review.
- Connect model outputs, policies, rules, and human actions.
- Build governance into the AI lifecycle.
- Develop leadership metrics and an implementation roadmap.
Written for business and technology leaders, product and program managers, architects, AI practitioners, and risk professionals, this book offers proposed operating patterns and illustrative examples for consequential AI use.
Lead AI systems with clearer ownership, stronger evidence, and a practical path to review and correction.