精装
对人工智能的监管见解
政策研究
9781800880771 Edward Elgar Publishing
This provocative book investigates the relationship between law and artificial intelligence (AI) governance, and the need for new and innovative approaches to regulating AI and big data in ways that go beyond market concerns alone and look to sustainability and social good.
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Critical Acclaim
贡献者
Contents
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This provocative book investigates the relationship between law and artificial intelligence (AI) governance, and the need for new and innovative approaches to regulating AI and big data in ways that go beyond market concerns alone and look to sustainability and social good.
采用多学科的方法,贡献者展示了各种研究方法和政策动机之间的相互作用,以表明基于法律的AI的监管和治理对于确保正义,对行政和合同过程的信任以及包容性的社会凝聚力至关重要我们越来越多技术驱动的社会。这本书提供了关于快速依赖AI和大数据所面临的新挑战的宝贵见解,从围绕敏感个人数据的数据保护制度到区块链和智能合约,平台数据重用,IP权利和限制以及许多其他关键问题,以及许多其他关键问题law’s interventions. The book also engages with concerns about the ‘surveillance society’, for example regarding contact tracing technology used during the Covid-19 pandemic.
提供的分析方法将使这一个excellent resource for scholars and educators, legal practitioners (from constitutional law to contract law) and policy makers within regulation and governance. The empirical case studies will also be of great interest to scholars of technology law and public policy. The regulatory community will find this collection offers an influential case for law’s relevance in giving institutional enforceability to ethics and principled design.
采用多学科的方法,贡献者展示了各种研究方法和政策动机之间的相互作用,以表明基于法律的AI的监管和治理对于确保正义,对行政和合同过程的信任以及包容性的社会凝聚力至关重要我们越来越多技术驱动的社会。这本书提供了关于快速依赖AI和大数据所面临的新挑战的宝贵见解,从围绕敏感个人数据的数据保护制度到区块链和智能合约,平台数据重用,IP权利和限制以及许多其他关键问题,以及许多其他关键问题law’s interventions. The book also engages with concerns about the ‘surveillance society’, for example regarding contact tracing technology used during the Covid-19 pandemic.
提供的分析方法将使这一个excellent resource for scholars and educators, legal practitioners (from constitutional law to contract law) and policy makers within regulation and governance. The empirical case studies will also be of great interest to scholars of technology law and public policy. The regulatory community will find this collection offers an influential case for law’s relevance in giving institutional enforceability to ethics and principled design.
Critical Acclaim
‘Regulatory Insights on Artificial Intelligence provides a timely and important discussion of the regulation of a technology that is not only proliferating into our lives, but becoming disruptive in our economic and social institutions. I highly recommend the book for legal scholars, regulators, and anyone interested in a comprehensive text on the topic.’
- 意大利都灵大学访问教授伍德罗·巴菲尔德(Woodrow Barfield)
‘这本书是协助有关AI治理所需的跨学科和多方利益相关者方法的迫在眉睫的有效监管需求的讨论的绝佳资源。对于那些对“下一步”感兴趣的人来说,这是必读的,以实际实施或编纂AI治理到现有法律背景下。’
– Christoph Lütge, Technical University of Munich, Germany
- 意大利都灵大学访问教授伍德罗·巴菲尔德(Woodrow Barfield)
‘这本书是协助有关AI治理所需的跨学科和多方利益相关者方法的迫在眉睫的有效监管需求的讨论的绝佳资源。对于那些对“下一步”感兴趣的人来说,这是必读的,以实际实施或编纂AI治理到现有法律背景下。’
– Christoph Lütge, Technical University of Munich, Germany
贡献者
Contributors: Nadja M. Alexander, Will Bateman, Damian Clifford, Mark Findlay, Jolyon Ford, Henry Gao, Ong Ee Ing, Loo Wee Ling, Nydia Remolina, Megan Richardson, Philippa Ryan, Josephine Seah, Dilan Thampapillai, Sally Wheeler, Normann Witzleb
Contents
Contents:
Preface xi
1关于人工智能的监管见解:政策研究1
Mark Findlay and Jolyon Ford
2个编辑的思考16
Mark Findlay and Jolyon Ford
3 Artificial intelligence and sensitive inferences: new
数据保护法的挑战19
Damian Clifford, Megan Richardson and Normann Witzleb
4重复劳动?平台中的二级数据帝国主义
economies 46
Mark Findlay and Josephine Seah
5 Gauging the acceptance of contact-tracing technology: an
新加坡居民的关注和信任的实证研究
in information sharing 70
Ong ee ing and loo wee ling
6在COVID-19控制条件中调节个人数据使用101
Mark Findlay and Nydia Remolina
7个编辑的反思128
Mark Findlay and Jolyon Ford
8编码法律规范:探索性论文132
威尔·贝特曼
9人工智能和不合情理原则150
Dilan Thampapillai
10 The possibilities of IF-THEN-WHEN 162
Sally Wheeler
11在线进行:调解是否为AI时代准备好了吗?187
Nadja M Alexander
12个编辑的反思214
Mark Findlay and Jolyon Ford
13道德AI框架:缺失治理作品218
Jolyon Ford
14 The accountability of algorithms on social media platforms 239
Philippa Ryan
15 Models and data trade regulation and the road to an agreement 261
亨利高
指数
Preface xi
1关于人工智能的监管见解:政策研究1
Mark Findlay and Jolyon Ford
2个编辑的思考16
Mark Findlay and Jolyon Ford
3 Artificial intelligence and sensitive inferences: new
数据保护法的挑战19
Damian Clifford, Megan Richardson and Normann Witzleb
4重复劳动?平台中的二级数据帝国主义
economies 46
Mark Findlay and Josephine Seah
5 Gauging the acceptance of contact-tracing technology: an
新加坡居民的关注和信任的实证研究
in information sharing 70
Ong ee ing and loo wee ling
6在COVID-19控制条件中调节个人数据使用101
Mark Findlay and Nydia Remolina
7个编辑的反思128
Mark Findlay and Jolyon Ford
8编码法律规范:探索性论文132
威尔·贝特曼
9人工智能和不合情理原则150
Dilan Thampapillai
10 The possibilities of IF-THEN-WHEN 162
Sally Wheeler
11在线进行:调解是否为AI时代准备好了吗?187
Nadja M Alexander
12个编辑的反思214
Mark Findlay and Jolyon Ford
13道德AI框架:缺失治理作品218
Jolyon Ford
14 The accountability of algorithms on social media platforms 239
Philippa Ryan
15 Models and data trade regulation and the road to an agreement 261
亨利高
指数