人工智能伦理信任引擎：化资本为能力

Converting capital into capabilities How IBM can help Clients can realize the potential of AI, analytics,and data using IBM’s deep industry, functional,and technical expertise; enterprise-grade For more information: AI services from IBM Consulting®ibm.com/consulting/artificial-intelligence AI solutions from IBM Softwareibm.com/watsonx AI innovations from IBM Research®research.ibm.com/artificial-intelligence The Notre Dame–IBM Tech Ethics Labtechethicslab.nd.edu Key Organizations don’t have tochoose between doing AI right Organizations see measurablebusiness results when AIethics becomes integral to Investments in AI ethics correlate with increasedoperating profit from AI. Organizations in the top quartileof AI ethics spending, as a percent of AI spend, saw 34%higher operating profit attributable to AI in 2023 versusthose in the lowest quartile. Executives also highlight Trust issues are stalling AI adoption. More than half of executives say ethics-oriented concernsare key barriers and building trust is a significant internalchallenge. AI that is not trusted does not get used, AI ethics approaches often fail whentreated as a single department’s 53% of executives say their governing bodies for AI ethicsare not effective. For many, accountability is concentratedin leadership roles, but it’s important for multiple operationalteams to influence AI ethics outcomes. Leading practices Contents Part one:What is the business case Part two:What is limiting AI’s Part three:How should organizations Action guide:Four starting points, one How trustworthy AI drivesbusiness performance For years, enterprise leaders have debated whether investing inAI ethics is a business nicety or a business necessity. Some skepticseven raise concerns about it slowing adoption and time to value. While some companies view responsible AI as a moral obligation and societalimperative regardless of other business impacts, many also report clear financialbenefits as a consequence. In a new survey of 915 global executives—part of athree-year initiative sponsored by the IBM AI Ethics Board in collaboration with This data validates an emerging finding highlighted in the first IBM IBV reportcontributing to this initiative,Why invest in AI ethics and governance?Based oninterviews with over three dozen companies, the report suggests that organizationsaren’t choosing between business outcomes and doing the right thing. Those takinga holistic approach that combines practical business discipline with genuine ethicalcommitment are, in fact, asking a different question. It’s not “should we invest in AI Yet many companies remain trapped between good intentions and lagging execution,preventing them from capturing this value. Only about one-third of the executives inour new study say their organizations are applying a set of core AI ethics-specifictools today. And more than half cite trust, bias, and explainability as constraints toAI adoption. While recent data points to early signs that AI adoption is slowing,2andorganizations are resetting value expectations,3the costs of ignoring these barriers This report explores key questions every leader must answer to realizethe value of trustworthy AI: Definitions The following terms can be used in different ways, and while we’re not necessarilyprescribing the following definitions—or the set of principles companies adopt, Part one: What is the business casefor investing in AI ethics? Those who invest more see morebusiness value. In our 2022 study,AI Ethics in Action, early indications pointed to the value ofinvestments in AI ethics—specifically, those organizations that placed a greaterimportance on AI ethics reported a higher degree of trust from customers and Now with our new research, the signs are much clearer: investing in AI ethicsdirectly correlates with superior business performance (see Figure 1). Organizationsin the top quartile of AI ethics spending consistently demonstrate higher operating This trend also applies to other measures of financial value from AI, including ROI.While investments in AI ethics explain only a relatively modest portion of AI’s benefit—a large amount would be surprising indeed—it is statistically significant when isolated, Over the past two years, organizationsin the top quartile of AI ethics spendingdemonstrate an average of 30% higher Organizations appear to be recognizing this value advantage. Executives report theyplan to double their spending on AI ethics as a percent of total AI spend from 2023 to2026. What’s more, organizations consistently exceed their own AI ethics spending In 2024 alone, actual AI ethics spending reached 7% of AI spend versus the projected4.3%, suggesting that early results compel increases. With trust and ethical concernsas persistent barriers to AI adoption, this accelerated investment represents a strategic Figure 2 Organizations’ actual spending on AI ethicsexceeds their expectations. Percentages represent AI et