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cover of episode Tech and Ethics: The World Economic Forum’s Kay Firth-Butterfield on Doing the Right Thing in AI

Tech and Ethics: The World Economic Forum’s Kay Firth-Butterfield on Doing the Right Thing in AI

2020/11/17
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Me, Myself, and AI
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Kay Firth-Butterfield: 我是世界经济论坛人工智能和机器学习负责人，致力于与多方利益相关者合作，思考人工智能的治理，从规范到监管，但人工智能不太容易被完全监管。我的背景是人权律师，在偶然的机会下进入AI伦理领域。AI的含义因人而异，治理的关键在于提高公众对AI的理解。AI治理需要组织变革、员工培训以及产品设计方面的仔细考量，清晰明确的治理框架可以促进数据共享等活动，而不是阻碍创新。目前AI治理探索多种软性治理方法，因为并非所有AI应用都属于高风险。许多企业高管对AI的理解不足，需要提供工具和指南来帮助他们理解和管理AI。企业需要在整个组织中进行AI教育和治理，避免因缺乏理解而导致AI应用落后。即使是基础的AI知识培训，对所有员工来说也很重要，这有助于降低AI应用的难度。需要解决AI能力和人才在全球分布不均的问题，以确保AI公平地造福全人类。企业应致力于正确使用AI，而这需要帮助他们理解AI技术，避免因误解而导致AI的错误应用。企业高管需要具备提问的能力，以确保他们理解AI的应用及其潜在风险。AI教育和治理应该自上而下，也应该自下而上，让所有员工都能理解AI。AI有潜力帮助人类摆脱日常琐事，并促进在药物研发和气候变化等领域的创新。AI的发展应促进社会公平，例如缩小城乡差距。企业需要教育员工，避免过度依赖或恐惧AI技术。企业需要理解AI与人类的不同交互模式，并进行测试，以促进大规模的理解和变革。消除对AI的恐惧，促进人机和谐相处。现在是讨论AI监管和软性治理方法的时候了，因为AI的发展将塑造未来。我们需要讨论AI的积极未来，而不是仅仅关注其负面影响。未来的AI领导者需要具备人文背景和跨学科团队合作能力。AI伦理讨论将融入环境、社会和治理（ESG）框架。AI培训应该跨行业进行，因为许多AI原则在不同行业中是共通的。全球范围内，人们对AI的伦理原则存在共识，这为跨行业应用AI提供了基础。目前的AI技术仍然不够成熟，人类仍有时间来引导其发展。 Sam Ransbotham and Shervin Khodabandeh: 讨论了AI治理的重要性，以及如何通过教育和培训来提高人们对AI的理解，从而促进AI的负责任使用。强调了组织内部的跨部门培训的重要性，以及企业在AI教育和治理中扮演的关键角色。还探讨了AI对工作场所和就业安全的影响，以及AI如何帮助人们从日常工作中解放出来，从而促进创新。

Deep Dive

Chapters
Kay Firth-Butterfield, a human rights lawyer, transitioned into AI ethics after a chance meeting on a plane led to a role as a chief AI ethics officer. She discusses her journey from law to AI, emphasizing the importance of understanding the impact of technology on human rights.

Shownotes Transcript

Kay Firth-Butterfield was teaching AI, ethics, law, and international relations when a chance meeting on an airplane landed her a job as chief AI ethics officer. In 2017, Kay became head of AI and machine learning at the World Economic Forum, where her team develops tools and on-the-ground programs to improve AI understanding and governance across the globe.

In the final episode of the first season of the Me, Myself, and AI podcast, Kay joins cohosts Sam Ransbotham and Shervin Khodabandeh to discuss the democratization of AI, the values of good governance and ethics in technology, and the importance of having people understand the technology across their organizations — and society. She also weighs in on other themes our hosts have discussed this season, including education, collaboration, and innovation. Read the episode transcript here).

Me, Myself, and AI is a collaborative podcast between MIT Sloan Management Review and Boston Consulting Group, hosted by Sam Ransbotham and Shervin Khodabandeh. Its engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger.

Guest bio: Kay Firth-Butterfield is head of AI and machine learning and a member of the executive committee of the World Economic Forum. In the United Kingdom, she is a barrister with Doughty Street Chambers and has worked as a mediator, arbitrator, part-time judge, business owner, and professor. She is vice chair of the IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems and serves on the Polaris Council of the U.S. Government Accountability Office advising on AI.

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