AI in Action: An Interactive Learning Journey

Looking ahead: Leaders’ role in the trust equation

In this edition, the final in a series of four learning modules, we discuss the role that business leaders play in the future of AI, especially around establishing trust.

How can leaders build and maintain the trust of their employees?

Lareina and Reid discuss the value of leadership, transparency, and communication in the AI trust equation.

What is the human-in-the-loop approach?

Lareina and Reid discuss what it means to employ a human-in-the-loop approach to AI implementation.

How can leaders help their employees trust the technology?

Reid discusses the efforts that companies are undertaking to improve technology, safety, and ultimately trust.
Roger Roberts

The companies that derive the most value from AI will be those that create trust with their customers, employees, and stakeholders. Fundamentally, people must trust AI enough to hand over tasks. Enhanced evaluations, transparency, and explainability—as well as flexible governance that puts principles into practice while encouraging innovation—can all contribute. Organizations can start with a principled approach to deciding not just what they can build but what they should build. These ethical decisions must be rooted in the values of each organization and the values of a society that places humans at the center of the AI ecosystem. This approach to building trust is responsible AI [RAI]. And when implemented well, RAI leads to real ROI.

Roger Roberts
Partner, McKinsey
Jay Krishnan

Leaders need to think about change management around AI from day one. End users, or user feedback, should be a critical part of the AI application build. The technology is changing so quickly—with new models, agents, et cetera—that there’s no ‘perfect time’ to release a solution. It’s better to build something quickly, get feedback from customers, and iterate.

Jay Krishnan
Partner, McKinsey

Further Reading

Banking on innovation: How ING uses generative AI to put people first

Implementing gen AI with speed and safety

Gen AI presents both risks and opportunities. Here’s a guide to minimizing its risks while swiftly capitalizing on its benefits from day one.
Read the article

Brief recap of what we’ve learned

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AI in Action: An interactive learning journey

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Report

Superagency in the workplace: Empowering people to unlock AI’s full potential

Almost all companies invest in AI, but just 1 percent believe they are at maturity. Our research finds the biggest barrier to scaling is not employees—who are ready—but leaders, who are not steering fast enough.

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