Details

Autor(en) / Beteiligte

• Wischmeyer, Thomas[Herausgeber]
• Rademacher, Timo[Herausgeber]

Titel

Regulating Artificial Intelligence [electronic resource]

Auflage

1st ed. 2020

Ort / Verlag

Cham : Springer International Publishing

Erscheinungsjahr

2020

Link zum Volltext

• SpringerLink Books - AutoHoldings

Beschreibungen/Notizen

• Artificial Intelligence as a Challenge for Law and Regulation -- Part I -- Foundations of Artificial Intelligence Regulation -- Artificial Intelligence and the Fundamental Right to Data Protection: Opening the Door for Technological Innovation and Innovative Protection -- Artificial Intelligence and Autonomy: Self-Determination in the Age of Automated Systems -- Artificial Intelligence and Transparency: Opening the Black Box -- Artificial Intelligence and Discrimination: Discriminating Against Discriminatory Systems -- Artificial Intelligence and Legal Personality: Introducing “Teilrechtsfähigkeit”: A Partial Legal Status Made in Germany -- Part II -- Governance of and Through Artificial Intelligence -- Artificial Intelligence and Social Media -- Artificial Intelligence and Legal Tech: Challenges to the Rule of Law -- Artificial Intelligence and Administrative Decisions Under Uncertainty -- Artificial Intelligence and Law Enforcement -- Artificial Intelligence and the Financial Markets: Business as Usual? -- Artificial Intelligence and Public Governance: Normative Guidelines for Artificial Intelligence in Government and Public Administration -- Artificial Intelligence and Taxation: Risk Management in Fully Automated Taxation Procedures -- Artificial Intelligence and Healthcare: Products and Procedures -- Artificial Intelligence in Healthcare: Doctors, Patients and Liabilities -- Artificial Intelligence and Competition Law. .
• This book assesses the normative and practical challenges for artificial intelligence (AI) regulation, offers comprehensive information on the laws that currently shape or restrict the design or use of AI, and develops policy recommendations for those areas in which regulation is most urgently needed. By gathering contributions from scholars who are experts in their respective fields of legal research, it demonstrates that AI regulation is not a specialized sub-discipline, but affects the entire legal system and thus concerns all lawyers. Machine learning-based technology, which lies at the heart of what is commonly referred to as AI, is increasingly being employed to make policy and business decisions with broad social impacts, and therefore runs the risk of causing wide-scale damage. At the same time, AI technology is becoming more and more complex and difficult to understand, making it harder to determine whether or not it is being used in accordance with the law. In light of this situation, even tech enthusiasts are calling for stricter regulation of AI. Legislators, too, are stepping in and have begun to pass AI laws, including the prohibition of automated decision-making systems in Article 22 of the General Data Protection Regulation, the New York City AI transparency bill, and the 2017 amendments to the German Cartel Act and German Administrative Procedure Act. While the belief that something needs to be done is widely shared, there is far less clarity about what exactly can or should be done, or what effective regulation might look like. The book is divided into two major parts, the first of which focuses on features common to most AI systems, and explores how they relate to the legal framework for data-driven technologies, which already exists in the form of (national and supra-national) constitutional law, EU data protection and competition law, and anti-discrimination law. In the second part, the book examines in detail a number of relevant sectors in which AI is increasingly shaping decision-making processes, ranging from the notorious social media and the legal, financial and healthcare industries, to fields like law enforcement and tax law, in which we can observe how regulation by AI is becoming a reality.