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658.4 --- Social responsibility of business --- Corporate governance --- Social responsibility of business. --- Corporate governance. --- Royaume-Uni --- Allemagne
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"Corporate social responsibility codes are guidelines that companies voluntarily develop and publish with the objective to show the public their commitment to respect human rights, to improve fundamental workplace standards worldwide and to not pollute the natural environment. These corporate codes have become a crucial element in the regulatory architecture for globally operating companies. By focusing on the characteristics of the codes, their effects on society, and their legal consequences, this book seeks to provide a comprehensive analysis of corporate codes and the law. Enforcing Corporate Social Responsibility Codes develops proposals on the relation between global corporate self-regulation and the national private law systems. It uses methods of comparative law and sociological jurisprudence to argue that national private law can, and in fact should, enforce these codes as genuine legal obligations. The author formulates legal policy recommendations for English and German private law which indicate how the proposed legal enforcement could be practically realised."--Bloomsbury Publishing.
Social responsibility of business. --- Business enterprises --- Commercial law. --- Business --- Business law --- Commerce --- Law, Commercial --- Mercantile law --- Law --- Law merchant --- Maritime law --- Commercial law --- Corporate accountability --- Corporate responsibility --- Corporate social responsibility --- Corporations --- CSR (Corporate social responsibility) --- Industries --- Social responsibility, Corporate --- Social responsibility of industry --- Business ethics --- Issues management --- Law and legislation. --- Law and legislation --- Social responsibility --- Social aspects --- Social responsibility of business --- E-books --- Globalization. --- International business enterprises --- Labor laws and legislation. --- Moral and ethical aspects. --- Environmental aspects. --- Social aspects. --- Society and international business enterprises --- Employees --- Employment law --- Industrial relations --- Labor law --- Labor standards (Labor law) --- Work --- Working class --- Industrial laws and legislation --- Social legislation --- Global cities --- Globalisation --- Internationalization --- International relations --- Anti-globalization movement --- Business corporations --- C corporations --- Corporations, Business --- Corporations, Public --- Limited companies --- Publicly held corporations --- Publicly traded corporations --- Public limited companies --- Stock corporations --- Subchapter C corporations --- Corporate power --- Disincorporation --- Stocks --- Trusts, Industrial --- Legal status, laws, etc.
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This book proposes three liability regimes to combat the wide responsibility gaps caused by AI systems – vicarious liability for autonomous software agents (actants); enterprise liability for inseparable human-AI interactions (hybrids); and collective fund liability for interconnected AI systems (crowds).Based on information technology studies, the book first develops a threefold typology that distinguishes individual, hybrid and collective machine behaviour. A subsequent social science analysis specifies the socio-digital institutions related to this threefold typology. Then it determines the social risks that emerge when algorithms operate within these institutions. Actants raise the risk of digital autonomy, hybrids the risk of double contingency in human-algorithm encounters, crowds the risk of opaque interconnections. The book demonstrates that the law needs to respond to these specific risks, by recognising personified algorithms as vicarious agents, human-machine associations as collective enterprises, and interconnected systems as risk pools – and by developing corresponding liability rules.The book relies on a unique combination of information technology studies, sociological institution and risk analysis, and comparative law. This approach uncovers recursive relations between types of machine behaviour, emergent socio-digital institutions, their concomitant risks, legal conditions of liability rules, and ascription of legal status to the algorithms involved.
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"This book proposes three liability regimes to combat the wide responsibility gap caused by AI systems - vicarious liability for autonomous software agents (actants); enterprise liability for inseparable human-AI interactions (hybrids); and collective fund liability for interconnected AI systems (crowds). Based on information technology studies, the book first develops a threefold typology that distinguishes individual, hybrid and collective machine behaviour. A subsequent social sciences analysis specifies the socio-technical configurations of this threefold typology and theorises their social risks when being used in social practices: actants raise the risk of digital autonomy, hybrids the risk of double contingency, crowds the risk of opaque interconnections. The book demonstrates that it is these specific risks to which the law needs to respond, by recognising personified algorithms as vicarious agents, human-machine associations as collective enterprises, and interconnected systems as risk pools - and by developing corresponding liability rules. The book relies on a unique combination of information technology studies, sociological configuration and risk analysis, and comparative law. This unique approach uncovers recursive relations between types of machine behaviour, emergent socio-technical configurations, their concomitant risks, the legal conditions of liability rules, and the ascription of legal status to the algorithms involved"--
Artificial intelligence --- Artificial intelligence --- Liability (Law). --- Liability (Law). --- Responsabilité (Droit). --- Law and legislation. --- Law and legislation.
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This book proposes three liability regimes to combat the wide responsibility gaps caused by AI systems - vicarious liability for autonomous software agents (actants); enterprise liability for inseparable human-AI interactions (hybrids); and collective fund liability for interconnected AI systems (crowds). Based on information technology studies, the book first develops a threefold typology that distinguishes individual, hybrid and collective machine behaviour. A subsequent social science analysis specifies the socio-digital institutions related to this threefold typology. Then it determines the social risks that emerge when algorithms operate within these institutions. Actants raise the risk of digital autonomy, hybrids the risk of double contingency in human-algorithm encounters, crowds the risk of opaque interconnections. The book demonstrates that the law needs to respond to these specific risks, by recognising personified algorithms as vicarious agents, human-machine associations as collective enterprises, and interconnected systems as risk pools - and by developing corresponding liability rules. The book relies on a unique combination of information technology studies, sociological institution and risk analysis, and comparative law. This approach uncovers recursive relations between types of machine behaviour, emergent socio-digital institutions, their concomitant risks, legal conditions of liability rules, and ascription of legal status to the algorithms involved.
Artificial intelligence --- Liability (Law) --- Information technology --- Law and legislation.
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"This book proposes three liability regimes to combat the wide responsibility gaps caused by AI systems - vicarious liability for autonomous software agents (actants); enterprise liability for inseparable human-AI interactions (hybrids); and collective fund liability for interconnected AI systems (crowds). Based on information technology studies, the book first develops a threefold typology that distinguishes individual, hybrid and collective machine behaviour. A subsequent social science analysis specifies the socio-digital institutions related to this threefold typology. Then it determines the social risks that emerge when algorithms operate within these institutions. Actants raise the risk of digital autonomy, hybrids the risk of double contingency in human-algorithm encounters, crowds the risk of opaque interconnections. The book demonstrates that the law needs to respond to these specific risks, by recognising personified algorithms as vicarious agents, human-machine associations as collective enterprises, and interconnected systems as risk pools - and by developing corresponding liability rules. The book relies on a unique combination of information technology studies, sociological institution and risk analysis, and comparative law. This approach uncovers recursive relations between types of machine behaviour, emergent socio-digital institutions, their concomitant risks, legal conditions of liability rules, and ascription of legal status to the algorithms involved."--
Artificial intelligence --- Liability (Law) --- Law and legislation.
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C1 --- spiritualiteit --- Kerken en religie --- Schervier, Franziska --- #GROL:SEMI-279 Sche --- Christian spirituality
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Since Anu Bradford's groundbreaking book on the Brussels Effect there is a vastly evolving literature on the EU as a global regulatory actor as well as the global reach of EU law. This edited collection connects to this debate. Yet, it shifts the focus from the currently predominant public law focus to investigating European and EU private law and to connecting to literature and research on transnational law. To that end, it proceeds first conceptually by introducing and giving shape to the notion of a "European Transnational Private Law" through four conceptual contributions by the editors. Secondly, it focuses on several sectors (finance, taxation, investment, consumer law, labour law) and topics (climate litigation, global value chains, non-discrimination) to trace sector-specifically the role of EU private law in relation to transnational legal ordering.
Civil law --- Comparative law.. --- EU (European Union) --- Private / Civil law: general works --- Transnational commercial law
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