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ai可能像有用的帮助一样有害 - 具体取决于你如何使用它

人工智能嵌入了商业景观。仅靠,各行业的公司都不再是大型技术公司的公司正在积极将AI整合到他们的流程中,收购科技创业和侦察机会在不久的将来部署技术。Covid-19只加快了这种趋势,因为企业不得不争夺暴跌的收入和劳动力限制。

但随着公司越来越朝着AI解决业务挑战并提高盈利能力,他们会面临什么风险?他们如何减轻这种风险?商业领导者还要考虑什么?

Balancing Public Health and Individual Liberty

Despite the substantial benefits that the technology promises, AI deployment without safeguards poses risks at all levels of business, especially for traditional, non-tech companies. To limit severe financial and reputational harm, it is crucial that companies weigh the many benefits of AI use against the risks intrinsic to its use, as well as associated concerns from the broader community. Consider, as one particularly pertinent example, the myriad ways wherein AI has been deployed in response to the global pandemic: from contact tracing to enhanced infection risk profiling, those who develop and use such cutting-edge techniques must carefully balance the dual imperatives of公共卫生和个人自由

捍卫算法的决定

Given the self-learning and automated nature of AI, a well-known concern associated with the technology is that of “explainability,” especially with public-facing “black box” AI models that make decisions on sensitive or consequential issues such as job recruitment, credit risk assessments and medical diagnoses. A lack of transparency and traceability, particularly when using externally procured applications, exposes businesses to significant reputational harm.

例如,近年来众多争议已经向我们展示了AI系统可以无意中产生偏见和潜在的歧视性产出加剧甚至延续不平等。组织,特别是当可能的客户和工作人员的这种不利结果时,必须能够解释和捍卫基于算法的决定流程及其产出到一系列利益相关者,包括主题专家甚至是法律社区,涉及涉嫌医疗事故。戴着专用AI专家的大名字技术公司长期以来一直在努力解决这个问题;非技术公司也有激烈的公众审查和品牌损坏的风险。

Cybercriminals Exploiting AI

Cyber risk is also a significant threat to companies using AI, especially with the rush toward digitization during the COVID-19 lockdowns. In fact, participants in a民意调查of more than 12,000 business executives rated cyber risk as the top risk for doing business in the U.S., the U.K., and Canada — among other developed economies — over the next decade. The growing use of AI in critical business operations will only increase vulnerability to cybercrime as hackers can gain control of entire systems simply by manipulating their underlying algorithms. AI can moreover directly enhance the arsenal of cybercriminals who can now cause disproportionate levels of harm by leveraging the speed of decision-making enabled by automated programs. Smarter cyber threats, coupled with industry’s growing reliance on digital capabilities, only escalate the risks to operations and revenue streams.

鉴于技术的复杂性以及其潜在危险的普遍性,在运营的各个方面,多方面和动态approach to governance需要管理AI风险。

除了这些技术灾害,ado的企业pt AI solutions, also risk reputational harm and revenue erosion if consumer data is used inappropriately or otherwise exposed. Some major tech companies have drawn sharp criticism over the last few years for allegedly misusing sensitive voice data recorded by their AI-powered digital assistants. Given Big Tech’s enduring ability to generate insights from big data and exploit personal profiles in ways that consumers have not anticipated or accepted, such scrutiny will surely persist. This public outcry for data privacy will no doubt extend to non-tech firms in the future.

缺乏整体治理标准

Finally, due to the emergent nature of this technology, companies may find themselves deploying AI in rapidly evolving regulatory environments, complicating compliance efforts. The global fragmentation of data standards creates additional regulatory discontinuities across jurisdictions. Non-tech firms that are less familiar with international differences in AI-specific legislation may struggle to align their use of AI with shifting regional mandates, thereby necessitating decentralized, and often difficult and costly, policy rollouts.

这些只是企业揭露自己的威胁,他们应该试图在不实施有效和整体治理措施的情况下实现AI的益处。鉴于技术的复杂性以及其潜在危险的普遍性,在运营的各个方面,多方面和动态approach to governance需要管理AI风险。It is important that businesses evaluate their use of AI technology across five areas:

  • Intent:以原则方式使用数据并验证AI设计和实现过程是道德对齐和适当的。
  • 公平:确保AI系统的流程和输出不会对任何组或个人无意中歧视。
  • Transparency:验证AI进程可扩译和可重复。
  • 安全保障:在数据治理,威胁保护和用户隐私中建立强大的能力,以便更好地防御恶意入侵。
  • 问责制:承担严格的审计和合规保证程序,以缓解各利益攸关方的关切 - 立法者,审计师,客户,商业伙伴和股东等人。

为了激活与这些原则对齐的有效治理,组织必须另外实施支持基础设施和流程,包括监督委员会,风险登记和测试和分析。还应为参与AI开发和管理的工作人员提供培训,这样他们就可以熟练地处理这项技术所呈现的动态风险。

通过框架上述五个方面的AI解决方案的管理,并提供适当的治理机制,企业可以确保他们不会让自己暴露于不必要的风险,或者更糟,无意中造成危害更广泛的社会。在这样做时,他们将能够在采购,开发和实施新的AI解决方案时更轻松地休息。

本文最初出现的版本NACD BoardTalk博客

Ben Hoster

Marsh&McLennan优势的转型技术总监

Ben Hoster是玛黑&MCLennan优势的董事,领导本组织的转型技术议程。188bet如何安装在这个角色中,本探讨了长期趋势,隐藏的机会,以及迅速发展的技术,如人工智能,先进分析,以及全球各地的社会的迅速发展的技术

Richard Smith-Bingham

Executive Director of Insights, Marsh & McLennan Advantage

Richard Smith-Bingham领导全球研究人员团队,借鉴了Marsh&McLennan及其网络的专业知识,以确定对社会最复杂的挑战的突破性观点和解决方案。他正处于公司对不断发展的宏观风险风险景观以及公司和政府如何最佳预测和谈判上升威胁的最前沿。

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