人工智能利益相关者分析的概念
The original interview took place May 7,2020.
aln原始采访发生在2020年5月7日。
K Kl is Program Lead at the Partnership on AI(PAI),a coalition of over 100 organizations from civil society,industry,and academia,where her work focus on AI,Labour,and the Economy.Prior to joining PAI,K was at the Harvard Kennedy School of Government,rearching the potential impact of AI advancement on economic growth trajectories of developing countries.Previously,she worked at the United Nations Executive Office of the Secretary-General(SG)to prepare the launch of the SG Strategy for New Technology,and at Google in a variety of roles.
K Kl是AI伙伴关系(PAI)的计划负责人，PAI是由民间社会，行业和学术界的100多个组织组成的联盟，她的工作重点是AI，劳动和经济。在加入PAI之前，K在哈佛大学肯尼迪政府学院任职，研究人工智能发展对发展中国家经济增长轨迹的潜在影响。此前，她曾在联合国秘书长(SG)执行办公室工作，准备发布SG的新技术战略，并在Google担任各种职务。
lucifer
k:Thank you so much for speaking with me today,Ms.Kl!I appreciate your time.For our audience,can you tell me a little about the general work of PAI?
just a dreamk：非常感谢Kl女士今天与我讲话！感谢您的宝贵时间。对于我们的听众，您能否简单介绍一下PAI的一般工作？
安邦集团掌门人被带走fire flyK:PAI is a relatively new non-profit that is growing very quickly.We think about“responsible AI,”how to implement the principles of responsible AI in practice,and how to live by them every day.We split our work into thematic pillars:some are focud on thinking about transparency,accountability and fairness of AI;others on documentation practices;others on media integrity,criminal justice,etc.My specific area of focus is labour and the economy.jellybean>用环保材料做衣服
turninto
K：PAI是一个相对较新的非营利组织，发展非常Swift。我们考虑“负责任的AI”，如何在实践中实施负责任的AI原则以及如何每天依靠它们生活。我们将工作划分为主题Struts：一些专注于思考AI的透明性，问责制和公平；其他有关文件惯例的内容；其他方面涉及媒体廉正，刑事司法等方面。我的重点领域是劳动力和经济。
match是什么意思
k:And how did you end up here,working for PAI?
k：您是怎么来到这里为PAI工作的？
K:I was trained as a mathematician and computer scientist,and I worked for Google for ven years.I then decided to go back to school to study economic development and to find people who professionally study poverty and inequality,particularly the relationship between technological advancement and societal conditions.My graduate work at the Harvard Kennedy School was focud on rearching the implications of AI advancement for developing countries.After that,it was a amless transition to join PAI becau PAI conducted rearch on global conquences of AI advancement,which was what I wanted to do.I didn’t want to focus on a specific developed country,but rather to look at global repercussions.
K：我接受过数学和计算机科学家的培训，我在Google工作了7年。然后，我决定回到学校学习经济发展，并找到专门研究贫困和不平等问题的人，尤其是技术进步与社会条件之间的关系。我在哈佛大学肯尼迪学校的研究生工作专注于研究AI进步对发展中国家的影响。
在那之后，加入PAI是一个无缝过渡，因为PAI进行了关于AI进步的全球后果的研究，这正是我想要做的。我不想专注于一个特定的发达国家，而是想了解全球的影响。
k:That leads perfectly to my next question.As you mentioned,your focus at PAI is on the“AI,Labour,and Economy”thematic pillar.Can you tell me about your current and past work in this area and why it’s important?
k：完全可以得出我的下一个问题。如您所述，您在PAI上的重点是“AI，劳工和经济”主题Struts。您能告诉我您在该领域目前和过去的工作以及为什么它很重要吗？
franchi
K:This thematic work has existed at PAI for a couple of years,so there is work that predates me.Last year,the PAI team published three ca studies of companies from different ctors and countries.Each company had brought AI into their operations,and PAI sought to analyze what AI meant for their productivity and labour force.The publication reprented a range of cas and highlighted both the challenges and opportunities that AI prented to the workforce.Continuing this work,we hosted a workshop in partnership with the Ford Foundation where we brought labour advocates,un
ion reprentatives,industry,and academia together to discuss opportunities and challenges to workforce ,in relation to the introduction of AI into production process.We are now preparing the report that builds on that workshop for publication.The report looks at human rights,financial considerations,emotional aspects,n of purpo,and all the other ways that AI may influence workplace .
K：这项主题工作已经在PAI上存在了两年，所以有些工作早于我。去年，PAI团队发布了来自不同部门和国家的公司的三个案例研究。每家公司都将AI投入运营，PAI试图分析AI对他们的生产力和劳动力的意义。该出版物代表了一系列案例，强调了人工智能给员工带来的挑战和机遇。继续这项工作，我们与福特基金会合作举办了一个讲习班，在此我们召集了劳工倡导者，工会代表，行业和学术界，讨论与将AI引入生产流程有关的劳动力福祉的机遇和挑战。我们现在正在准备以该研讨会为基础的报告，以供出版。该报告探讨了人权，财务考虑，情感方面，目的感以及人工智能可能影响工作场所福祉的所有其他方式。
That work is wrapping up.At prent,we focus on two big initiatives.The first is looking at procurement practices and working conditions in data ,data annotation,and what’s calle
d“human review,”where a human worker reviews AI-made predictions(especially when they are low-confidence).Much of this work happens through virtual on-demand crowd platforms,not traditional work sites,so we are looking at procurement practices and hoping to create resources for product managers or practitioners,guiding them on how to procure data labeling responsibly.
