Stephen Parker is a Partner, Barbara Berlin is a Managing Director, and Tracey Lee Brown is a Director at the Governance Insights Center, PricewaterhouseCoopers LLP. This post is based on their PwC memorandum.
Artificial intelligence (AI) is fast becoming an intrinsic part of business: strategy, growth, product innovation, operations and more. It’s poised to redefine business models, revolutionize workflows and reshape entire industries.
The rapid evolution of AI is empowering companies to solve problems in unprecedented ways. Its transformative potential also reveals new avenues for growth, innovation and strategic business development.
This power does not come without risks. Realizing the full potential of AI requires understanding its risks as well as its upsides. This includes a risk management approach and appropriate policies, processes and controls to use AI responsibly in a manner that sustains trust.
The board’s role in this environment is to oversee management and advise on how AI may impact strategy and risks. Typically, the full board has primary oversight of AI. Sometimes, however, the audit committee may have been given primary responsibility. In these instances, audit committee members should be mindful to focus on the strategic opportunities, not just the risks.

