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Artificial intelligence and policy: quo vadis?

机译:人工智能与政策:QUO VADIS?

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Purpose - This paper aims to inform policymakers about key artificial intelligence (Al) technologies, risks and trends in national Al strategies. It suggests a framework of social governance to ensure emergence of safe and beneficial Al. Design/methodology/approach - The paper is based on approximately 100 interviews with researchers, executives of traditional companies and startups and policymakers in seven countries. The interviews were carried out in January-August 2017. Findings - Policymakers still need to develop an informed, scientifically grounded and forward-looking view on what societies and businesses might expect from Al. There is lack of transparency on what key Al risks are and what might be regulatory approaches to handle them. There is no collaborative framework in place involving ail important actors to decide on Al technology design principles and governance. Today's technology decisions will have long-term consequences on lives of billions of people and competitiveness of millions of businesses. Research limitations/implications - The research did not include a lot of insights from the emerging markets. Practical implications - Policymakers will understand the scope of most important Al concepts, risks and national strategies. Social implications - Al is progressing at a very fast rate, changing industries, businesses and approaches how companies learn, generate business insights, design products and communicate with their employees and customers. It has a big societal impact, as - if not designed with care - it can scale human bias, increase cybersecurity risk and lead to negative shifts in employment. Like no other invention, it can tighten control by the few over the many, spread false information and propaganda and therewith shape the perception of people, communities and enterprises. Originality/value - This paper is a compendium on the most important concepts of Al, bringing clarity into discussions around Al risks and the ways to mitigate them. The breadth of topics is valuable to policymakers, students, practitioners, general executives and board directors alike.
机译:目的 - 本文旨在为政策制定者提供关于关键人工智能(AL)技术,风险和国家策略的风险和趋势。它表明了社会治理的框架,以确保安全和有益的al。设计/方法/方法 - 本文基于大约100个与研究人员,传统公司和初创公司高管以及七个国家的政策制定者的访谈。面试是在2017年1月至8月进行的。调查结果 - 政策制定者仍然需要开发知情,科学的接地和前瞻性看法,就可以从al的期望的各种社会和企业开发。缺乏透明度对Key Al风险有什么,以及处理它们的监管方法。没有合作框架,涉及AIL重要的行为者来决定AL技术设计原则和治理。今天的技术决策将对数十亿人的生活和数百万个企业的竞争力产生长期后果。研究限制/含义 - 研究没有包括新兴市场的大量见解。实际意义 - 政策制定者将理解最重要的AL概念,风险和国家战略的范围。社会含义 - AL正在以非常快速的速度,不断变化的行业,企业和方法进行进展,如何学习,生成商业洞察,设计产品和与员工和客户沟通。它具有很大的社会影响,如 - 如果不是小心 - 它可以扩展人类偏见,增加网络安全风险并导致就业的负面变化。与又没有其他发明一样,它可以通过少数人收紧控制,传播虚假信息和宣传以及塑造人,社区和企业的看法。原创/价值 - 本文是al的概要,是al的最重要的概念,将清晰度与讨论的讨论以及减轻他们的方法。主题的广度对政策制定者,学生,从业者,一般高管和董事会董事都有价值。

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