IBM-为什么要投资人工智能伦理和治理？（英）

IBM Institute for Business Value | Research InsightsWhy invest in AI ethics and governance? Five real-world origin storiesIn collaboration with the Notre Dame—IBM Tech Ethics Lab2Clients can realize the potential of AI, analytics, and data using IBM’s deep industry, functional, and technical expertise; enterprise-grade technology solutions; and science-based research innovations. For more information: AI services from IBM Consulting ibm.com/services/artificial-intelligence AI solutions from IBM Software ibm.com/WatsonAI innovations from IBM Research® research.ibm.com/artificial-intelligenceThe Notre Dame-IBM Tech Ethics Lab techethicslab.nd.edu/How IBM can help1Embracing AI ethics is essential. It’s not just about loss aversion. 75% of executives view AI ethics as an important source of competitive differentiation.1 More than 85% of surveyed consumers, citizens, and employees value AI ethics.2Longer-term, proactive AI ethics strategies can generate value across the organization. A majority of companies (54%) expect AI ethics to be very important strategically,3 with executives citing involvement of 20 different business functions.4 Investing in AI ethics has the potential to create quantifiable value. Organizations that measure the value of AI ethics could be a step ahead. Our holistic AI ethics framework considers three types of ROI: economic impact (tangible), reputational impact (intangible), and capabilities (real options ROI). Organizations that measure the value of AI ethics could be a step ahead. Our holistic AI ethics framework considers three types of ROI.Key takeaways2IntroductionGenerative AI is revolutionizing industries, but its dizzying ascendance has also raised significant ethical concerns. Balancing the potential benefits with ethical and regulatory implications is crucial. But it’s not easy. In IBM Institute for Business Value (IBM IBV) research, 80% of business leaders see AI explainability, ethics, bias, or trust as major roadblocks to generative AI adoption.5 And half say their organization lacks the governance and structures needed to manage generative AI’s ethical challenges.6In the face of this uncertainty and risk, many CEOs are hitting pause. More than half (56%) are delaying major investments in generative AI until they have clarity on AI standards and regulations,7 and 72% of executives say their organizations will actually forgo generative AI benefits due to ethical concerns.8Yet there is a path forward—if executives broaden their outlooks and view AI ethics as an opportunity. Even better: ongoing research suggests that investing in AI ethics has the potential to create quantifiable benefits.In order to unlock this potential, organizations need to embrace a new perspective as they evaluate the ROI of AI ethics investments. In part one of this report, we identify three key types of ROI that apply to AI ethics—in other words, a holistic AI ethics framework. In part two and part three, we explore two distinct