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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。

But as companies increasingly look toward AI to solve business challenges and increase their profitability, what risks will they face? How might they mitigate such risks? What else should business leaders take into consideration?

平衡公共卫生和个人自由

尽管技术承诺的实质性好处,但没有保障的AI部署在所有级别的业务造成风险,特别是对于传统的非技术公司来说。为了限制严重的金融和声誉危害,公司权衡AI对其使用内在的风险的许多益处至关重要,以及更广泛社区的相关问题。考虑作为一个特别相关的例子,以响应全球大流行部署AI的无数方式:从接触跟踪到增强的感染风险分析,那些开发和使用此类前沿技术的人必须仔细平衡双重命令公共卫生和个人自由.

捍卫算法的决定

鉴于AI的自我学习和自动性质,与该技术相关的众所周知的关注是“解释性”,特别是与众所面对的“黑匣子”AI模型,使得诸如工作招聘等敏感或相应的问题的决策,信用风险评估和医疗诊断。缺乏透明度和可追溯性,特别是在使用外部采购的应用时,将业务暴露于重大的声誉危害。

For instance, numerous controversies in recent years have shown us that AI systems can inadvertently generate biased and potentially歧视性产出that exacerbate or even perpetuate inequalities. Organizations, especially when such adverse outcomes to customers and staff are possible, must be able to explain and defend algorithm-based decision processes and their output to a range of stakeholders, including subject-matter experts and even the legal community in cases of alleged malpractice. Big-name tech firms with dedicated AI specialists on hand have long struggled with this issue; non-tech companies are also at risk of intense public scrutiny and brand damage.

网络犯罪分子利用ai.

网络风险对使用AI的公司来说也是一项重大威胁,特别是在Covid-19锁定期间急于数字化。事实上,参与者在一个民意调查超过12,000名商业管理人员评价网络风险作为在未来十年内在其他发达经济体中开展业务的最高风险。在关键业务运营中越来越多的AI使用只会增加网络犯罪的脆弱性,因为黑客只需通过操纵他们的底层算法来控制整个系统。此外,AI还可以直接增强网络犯罪分子的阿森纳,现在通过利用自动化计划使能的决策速度来造成不成比例的伤害水平。更聪明的网络威胁,加上行业越来越依赖数字能力,只会升级运营和收入流的风险。

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,多方面和动态治理方法需要管理AI风险。

除了这样的技术危险之外,如果消费者数据不恰当地或以其他方式暴露,采用AI解决方案的业务,也是风险性危害和收入侵蚀。有些主要的科技公司在过去几年中,据称滥用他们的AI动力的数字助理记录的敏感语音数据,这一主要批评了。鉴于大型技术持久的能力,持久能力从大数据产生洞察力并以消费者未预期或接受的方式利用个人资料,188bet如何安装这种审查肯定会持续存在。这种数据隐私的公众兴趣毫无疑问将在未来扩展到非技术公司。

缺乏整体治理标准

最后,由于这种技术的新鲜性,公司可能会发现自己在快速发展的监管环境中部署AI,使合规努力复杂化。188bet滚球投注数据标准的全球碎片构建跨国管辖区的额外监管不连续性。不太熟悉AI特定立法的国际差异的非技术公司可能会努力对准他们对SI的使用,从而使地区任务转移,从而需要分散,往往难以且昂贵,政策推出。

These are just some of the threats to which businesses expose themselves should they attempt to realize the benefits of AI without implementing effective and holistic governance measures. Given the complexity of the technology and the pervasiveness of its potential perils in all aspects of operations, a multifaceted and dynamic治理方法需要管理AI风险。企业重要的是,在五个方面评估他们对AI技术的使用:

  • 意图:Using data in a principled manner and verifying that AI design and implementation processes are ethically aligned and appropriate.
  • 公平:Ensuring that the processes and outputs of AI systems do not unwittingly discriminate against any group or individual.
  • 透明度:验证AI进程可扩译和可重复。
  • Safety/Security: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。
  • Accountability:Undertaking rigorous audit and compliance assurance processes to assuage the concerns of various stakeholders — lawmakers, auditors, customers, business partners and shareholders, among others.

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。

由框架基于“增大化现实”技术的人工智能的管理解决方案ound the five dimensions outlined above and instituting proper governance mechanisms, businesses can ensure that they do not expose themselves to undue risk, or worse, inadvertently cause harm to broader society. In doing so, they will be able to rest easier when procuring, developing and implementing new AI solutions.

A version of this article originally appeared onNACD BoardTalk blog.

Ben Hoster

Marsh McLennan优势转型技术总监

Ben Hosteris a director with the Marsh McLennan Advantage Insights team leading the organization’s Transformative Technologies agenda. In this role, Ben explores longer-term trends, hidden opportunities, and the unforeseen implications of rapidly evolving technologies such as artificial intelligence, advanced analytics, and blockchain for Marsh McLennan clients and more broadly, societies across the globe.

Richard Smith-Bingham

洞察力执行董事,沼泽MCLennan优势188bet如何安装

Richard Smith-Binghamleads a global team of researchers that draws on the expertise of Marsh McLennan and its networks to identify breakthrough perspectives and solutions to society’s most complex challenges. He is at the forefront of the firm’s thinking on the evolving macro-level risk landscape and how companies and governments can best anticipate and negotiate rising threats.

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