The CIO's Recipe for Orchestrating Responsible AI Capability Implementation
This IDC Perspective provides CIOs, senior IT and technology executives, and other enterprise executives with an understanding of how responsible AI (RAI) practices have the potential to propel businesses to new heights — unlocking trustworthy AI systems that are fair, transparent, and accountable — and how to prepare for the journey. As enterprises increasingly leverage AI to drive innovation and growth, CIOs find themselves grappling with the ethical and societal implications of these powerful technologies. To drive competitive differentiation, they must enable their enterprises to develop and deploy AI responsibly, in alignment with organizational values and societal norms. To effectively implement RAI, CIOs need to establish a comprehensive capability spanning governance, processes, talent, technology, and data management. They must put in place robust governance structures with clear roles, responsibilities, and decision-making protocols to address ethical dilemmas and trade-offs. They must also implement well-defined processes for continuous bias monitoring, model risk assessment, and ethical reviews throughout the AI life cycle. In addition, they need to invest in building world-class RAI skills and expertise through targeted hiring, training programs, and fostering an organizational culture that promotes ethical AI literacy. This document gives technology leaders a practical framework and actionable advice to navigate the complex landscape of responsible AI implementation. By applying the principles and practices outlined in this guide, CIOs can thrive in delivering cutting-edge AI capabilities amid constant technological disruption while upholding the highest ethical standards."Responsible AI is not just a compliance exercise but a strategic imperative for long-term success in the AI era," says Serge Findling, adjunct research advisor with IDC's IT Executive Programs (IEP).
Please Note: Extended description available upon request.
Executive Snapshot
Situation Overview
AI Ethics Versus Responsible AI
Responsible AI Capability
Governance
Processes
Talent
Technology
Data
Responsible AI Due Diligence
Understanding "Why": Emergence of Causal Intelligence
Designing and Implementing a Responsible AI Capability