When done right, responsible AI doesn’t just reduce risk. It also improves the performance of artificial intelligence systems, fostering trust and adoption while generating value. We help companies develop and operationalize a custom-fit framework for responsible AI.
Emerging regulations and generative AI are casting a spotlight on AI technology, but they don’t need to cast a shadow. Our perspective is that responsible AI is more than just risk mitigation, as it also an important value creator. The same mechanisms that reduce AI errors can accelerate innovation, promote differentiation, and elevate customer trust.
Responsible AI is the process of developing and operating artificial intelligence systems that align with organizational purpose and ethical values, achieving transformative business impact. By implementing RAI strategically, companies can resolve complex ethical questions around AI deployments and investments, accelerate innovation, and realize increased value from AI itself. Responsible AI gives leaders the ability to properly manage this powerful emerging technology.
So far, relatively few companies have unleashed this strategic approach to responsible AI. What’s the holdup? For some organizations, the leap from responsible AI ambition to execution has proved daunting. Others are waiting to see what form regulations take. But responsible AI principles can bring benefits now as they prepare companies for new rules and the latest emerging AI technology.
Our battle-tested framework minimizes the time to RAI maturity while maximizing the value responsible AI can create. Built on five pillars, it is tailored to each organization’s unique starting point, culture.
BCG’s responsible AI consultants have partnered with organizations around the globe in many industry sectors, creating personalized solutions that provide AI transparency and value. Here are some examples of our work.
Operationalizing responsible AI for a government agency. Our client had defined responsible AI principles but lacked an operating model for embedding and unleashing responsible AI within the organization. We defined the roles, processes, and AI governance that operationalized responsible AI. We also deployed the tools and training that ensured effective implementation and continual improvement.
Redesigning responsible AI onboarding for a global technology company. Even with industry-leading responsible AI capabilities, our client saw a key area for improvement: its process for onboarding engineering teams to ethical AI policies. We assessed the existing model and leveraged benchmarking and interviews to identify ways to streamline onboarding and improve responsible AI literacy. As a result, teams are better able to identify risks early and build products consistent with organizational values.
As one of the leading consulting firms on AI governance, we are proud to be recognized for the excellence of our work advancing responsible AI, setting the stage for broader and more transparent use of AI technology.
Our responsible AI consultants can draw on BCG’s global network of industry and technology experts. But they can also call on powerful tools for implementing RAI.
Supported by the data collected in our latest survey with MIT SMR, this proprietary tool benchmarks companies across the five pillars of responsible AI, providing insight into strengths, gaps, and areas for focus.
AI transparency is crucial to building trust and adoption. But it’s often elusive, as AI can be a ‘black box’ that produces results without explaining its decision-making processes. FACET opens the box by helping human operators understand advanced machine learning models.
AUGUST 10, 2023—The recent voluntary commitments secured by the White House from core US developers of advanced AI systems—including Google, OpenAI, Amazon, and Meta—is an important first step toward achieving safe, secure, and trustworthy AI. Here are three observations:
APRIL 27, 2023—Generative AI continues to evolve with extraordinary speed. Innovators are racing to address the technology’s shortcomings even as new risks continue to emerge, highlighting the need for stronger AI governance. A few developments:
APRIL 11, 2023—Stanford’s Human-Centered Artificial Intelligence group has issued a timely report that underscores why responsible AI (RAI) practices should be high on CEOs’ agendas. A few of the key takeaways:
MARCH 23, 2023—There’s lots of talk about the risks of generative AI. What’s not getting discussed enough is how organizations are adopting it. Now that anyone can use tools like ChatGPT in their workflows, unreported “shadow AI” may be taking place that bypasses risk and safety governance mechanisms.
Instead of banning generative AI systems, which is not a long-term solution, here are three things you can do to support experimentation while promoting safe and responsible AI.:
AI is often described as a “black box,” but the regulations, frameworks, and guidelines surrounding it can seem just as mystifying. A new report provides clarity.
What’s behind IBM’s hybrid cloud and AI strategy? The company’s lead strategist offers an inside scoop.
BCG’s third annual survey shows that companies are improving their responsible AI—but not fast enough.
Policymakers are mobilizing to address the risks of AI. How can companies ensure that the tangle of regulations won’t stifle beneficial uses of the technology?
The discussion about artificial general intelligence is distracting people from the real risks we face today with generative AI.
Companies can ensure compliance with new legislation while engaging with regulators to establish effective safeguards that leave room for innovation.
BCG’s responsible AI consultants are thought leaders who are also team leaders, working on the ground with clients to accelerate the responsible AI journey. Here are some of our experts on the topic.
