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The CEO’s Guide to Generative AI

Ethics can’t be delegated.

Generative AI is unlike any technology that has come before. It’s swiftly disrupting business and society, forcing leaders to rethink their assumptions, plans, and strategies in real time.

To help CEOs stay on top of the fast-shifting changes, the IBM Institute for Business Value (IBM IBV) is releasing a series of targeted, research-backed guides to generative AI, on topics from data cybersecurity to tech investment strategy to customer experience. This is part eight - Responsible AI & ethics:

Human values are at the heart of responsible AI.

As companies race to discover all the incredible new things generative AI can do, CEOs must lead the conversation about what it should do.

Each use case comes with its own ethical dilemmas and compliance concerns: How can companies protect sensitive data? How can they use AI in a manner that respects copyrights? Are AI outputs biased, discriminatory—or just plain wrong?

While answering these questions takes the entire team, CEOs and government leaders must set the organization’s moral compass. The course they chart will define how the business will balance cutting-edge innovation with the age-old principles of integrity and trust – a key dependency to government fulfilling its mission.

CEOs and government leaders must implement policies and processes that provide transparency and accountability across the board, offering clarity on how and where technology is being used, as well as the source of the data sets or underlying foundation models. This work will be ongoing, as the organization will need to continuously monitor and evaluate their AI portfolios to ensure they remain in line as policies and processes evolve.

Leaders must foster a culture focused on AI ethics, which aims to optimize AI’s beneficial impact while reducing risks and adverse outcomes for all stakeholders in a way that prioritizes human agency and well-being, as well as environmental sustainability. This will be a socio-technical challenge that can’t be solved with technology alone. Ongoing investments in organizational culture, workflows, and frameworks are necessary to be successful at scale.

The court of public opinion will judge whether companies and government are behaving ethically—and in line with consumer values. In this way, fairness and appropriateness will be gauged subjectively. But compliance will not.

The IBM Institute for Business Value has identified three things every leader needs to know:

1. CEOs can’t pass the buck on AI ethics.

2. Customers are judging every decision you make. Don’t jeopardize their trust.

3. Some companies freeze in the headlights of regulatory ambiguity.

And three things every leader needs to do right now:

1. Give ethics teams a seat at the table—not an unfunded mandate.

2. Earn trust by aligning with customer expectations.

3. Bake in ethics and regulatory preparedness for all AI and data investments.

Read the report and learn more about what your peers are sharing on this important topic now and for the future. Hear how executives understand what’s at stake: 58% believe that major ethical risks abound with the adoption of generative AI, which would be very difficult to manage without new, or at least more mature, governance structures.

See how IBM’s multidisciplinary, multidimensional approach is helping advance responsible AI. Read our perspective on foundation model opportunities, risks and mitigations.

For any questions or requests contact your IBM Representative today.

About IBM

In business for more than 100 years, International Business Machines Corporation (IBM) is a widely held, publicly traded company listed on the New York Stock Exchange. Originally called the Computing Tabulating Recording Company, it was incorporated in the State of New York in 1911 and manufactured products ranging from commercial scale and industrial time recording equipment to tabulators and punched cards. It was renamed International Business Machines Corporation (IBM) in 1924.

IBM is one of the world's largest information technology companies, operating in over 175 countries with over 264,300 full-time employees. The company creates value for clients by providing integrated solutions and products that help them transform their businesses and engage with their customers and employees in new ways. These solutions draw from an industry-leading portfolio of consulting and IT implementation services, cloud, digital, and cognitive offerings, and enterprise systems and software, all bolstered by one of the world's leading research organizations.

IBM Technology is addressing the hybrid cloud and AI opportunity with a platform-centric approach, focused on providing client value through a combination of technology and business expertise. We provide integrated solutions and products that leverage data, information technology, deep expertise in industries and business processes, with trust and security and a broad ecosystem of partners and alliances. Our hybrid cloud platform and AI technology and services capabilities support clients' digital transformations and help them engage with their customers and employees in new ways. These solutions draw from an industry-leading portfolio of capabilities in software, consulting services, and a deep incumbency in mission-critical systems, all bolstered by one of the world's leading research organizations.

IBM Consulting delivers business transformation, technology consulting, and application operations by leveraging hybrid cloud and AI technologies from IBM, along with our ecosystem partners. To support our hybrid cloud strategy, we built up the Red Hat business to over $2.5 billion. We are pursuing a similar approach for our AI strategy with over 16,000 accredited consultants. We have also scaled our focus on the ecosystem to create multi-billion-dollar partnerships with AWS, Microsoft, and SAP. Our consulting capabilities help clients to realize value from their digital transformations, for example, a global provider of business decisioning data and analytics is leveraging watsonx for a procurement solution to improve savings, reduce time, and mitigate risk.

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