BCG GAMMA Responsible AI

Deliver Powerful Business Results with Responsible AI

When done right, responsible AI isn’t simply a framework to mitigate risk. It’s a way to deliver transformative business impact. BCG works with companies to make responsible AI a reality.

As emerging categories of artificial intelligence, such a generative AI, play a more central role in business and society, so does the need for ensuring responsible use. The financial and reputational risks of AI failures are real, but they can be managed if organizations take the right steps.

Our philosophy is twofold: first, responsible AI should not be viewed strictly as a defensive maneuver—but also as a source of value. Second, the principles of responsible AI offer an important starting point, but they must be translated into action.

The Business Case for Responsible AI

Companies do not need to choose between protecting customers with responsible AI and boosting the bottom line. Companies can both realize the transformative power of AI and amplify its benefits by developing AI in a responsible manner. Time and again, BCG research has shown that companies with a strong sense of purpose and a focus on total societal impact outperform their peers. Incorporating an organization’s authentic purpose and AI ethics into the core of AI will:

  • Boost the bottom line. Companies that embrace responsible AI—and publicize that fact—build trust, improve customer loyalty, and ultimately enhance revenues. Lack of trust, on the other hand, carries a high financial cost.
  • Differentiate the brand. Customers are increasingly choosing to do business with companies whose demonstrated values align with their own. Organizations with a strong sense of purpose are more than twice as likely to generate above-average shareholder returns, whereas AI without integrity will fail brands every time.
  • Improve recruiting and retention. Responsible AI attracts the elite digital talent critical to the success of firms around the world. In the UK, one in six AI workers has quit his or her job rather than help to develop potentially harmful products; that’s more than three times the rate for the tech sector as a whole. A well-constructed responsible AI program empowers workers to innovate freely within the bounds of AI ethics.

How BCG Helps Companies Bridge the Responsible AI Gap

Companies that recognize the need for responsible AI usually begin by developing principles to guide their actions. But they sometimes struggle to move from high-level principles to tangible changes in the way they build AI solutions. We call this the responsible AI gap. Companies must bridge this gap if they want to unlock the true potential of responsible AI, and they can do so by taking BCG’s six simple steps.

How We Work with Clients

When we work with clients to implement the six steps of responsible AI, our perspective is informed by the following beliefs:

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BCG’s Collaboration with OpenAI

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Tools to Enable Responsible AI

As part of our broader commitment to responsible AI, BCG has developed a set of tools that help companies achieve their business goals and preemptively address the repercussions that AI can have on individuals and society. Companies can use these free tools to ensure their AI programs are, in fact, responsible.

Learn More About Responsible AI

BCG’s AI Code of Conduct

At BCG, we lead with integrity—and the responsible use of artificial intelligence is fundamental to our approach. We aim to set an ethical standard for AI in our industry, and we empower our clients to make the right economic and ethical decisions.

See how we’re fulfilling this commitment

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Responsible AI Belongs on the CEO Agenda

Everyone from customers to investors wants AI done right. CEOs who take the lead in implementing Responsible AI can better manage the technology’s many risks.

Responsible AI Is About More than Avoiding Risk | rectangle

Responsible AI Is About More Than Avoiding Risk

A new study by BCG and MIT Sloan Management Review finds that treating responsible AI strictly as a way to avoid AI failures is incomplete. Responsible AI leaders take a broader, more strategic approach that generates value for the organization and the world around them.

Why AI Needs a Social License - rectangle

Why AI Needs a Social License

If business wants to use AI at scale, adhering to the technical guidelines for responsible AI development isn’t enough. It must obtain society’s explicit approval to deploy the technology.

Responsible Marketing With First-Party Data

Think Responsibly

BCG and WIRED take a look at the implications of responsible AI—and what it would take for our society to actually build it.


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