05147nam a22006015i 4500 978-3-031-42576-9 DE-He213 20251030111428.0 cr nn 008mamaa 240216s2024 sz | s |||| 0|eng d 9783031425769 978-3-031-42576-9 10.1007/978-3-031-42576-9 doi HD45 KJD bicssc BUS041000 bisacsh KJD thema Developments in Intellectual Property Strategy [electronic resource] : The Impact of Artificial Intelligence, Robotics and New Technologies / edited by Nadia Naim. 1st ed. 2024. Cham : Springer International Publishing : Imprint: Palgrave Macmillan, 2024. XXII, 196 p. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 1. Artificial Intelligence Creations and Ownership – Who should the Intellectual Property belong to?.-2. Fostering Innovation by Utilising Big Data: The Data Act and the Risk of Quasi-Exclusivity Reinforcing Data Lockups.-3. Legal Nature of NFTed artwork -- A comparative study.-4. Intellectual Property Regulation of Artificial Intelligence – A Matter of Time or a Step Too Far? -- 5. An Artificital Intelligence Invention Protection Model -- 6. Care robots for the elderly: legal, ethical considerations and regulatory strategies.-7. An examination of the tangible value of IP financing for companies and businesses.-8.Transformative (Bio)technologies in Knowledge Societies: Of Patents and Intellectual Commons -- . Research in the area of intellectual property (IP) is increasingly relevant to the rapidly growing artificial intelligence (AI) and robotics industries, affecting the legal, business, manufacturing, and healthcare sectors. This contributed volume aims to develop our understanding of the legal and ethical challenges posed by artificial intelligence and robotics technologies and the appropriate intellectual property based legal and regulatory responses. It provides a philosophical and legal framework for considering concepts and principles that relate to the development and use of such technologies at the international, regional, and national levels. The legal discourse in IP concerns the ever-growing AI sector and how businesses can protect their IP and incorporate AI. Moral sentiments often take a back seat to market sentiments, even in shaping the direction of ethical business strategy. This anomaly persists despite growing interest in ethics and IP. Taking an interdisciplinary and diverse perspective, this book enriches the evolving definition and scope of IP literature by focusing on actors, products and regulation that shape the business sector. Considering the gap between theory and practice, this book bridges academic and professional knowledge in unpacking legal, ethical and governance issues in the intellectual property industry. In an effort to include as many viewpoints as possible, contributions have been gathered from diverse fields, including business, ethics, governance, law, philosophy and technology studies. This book will appeal to academics in the field of intellectual property, business ethics, AI, emerging technologies and strategic innovation, as well as practitioners and policy makers. Nadia Naim is the Associate Dean International for Law and Social Sciences at Aston University, UK. She has published extensively in intellectual property and its relationship with the finance sector, company structures, governance and international business law. She is a qualified barrister and fellow of the HEA. Chapter 2 is available open access under a Creative Commons Attribution 4.0 International License via Springerlink. . Technological innovations. 59244 Strategic planning. 57225 Leadership. 4372 Business ethics. 58372 Information technology Law and legislation. 67243 Mass media Law and legislation. 67244 Artificial intelligence. 58441 Innovation and Technology Management. 66187 Business Strategy and Leadership. 67107 Business Ethics. 58372 IT Law, Media Law, Intellectual Property. 67246 Artificial Intelligence. 58441 Naim, Nadia. editor. edt http://id.loc.gov/vocabulary/relators/edt 71091 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031425752 Printed edition: 9783031425776 Printed edition: 9783031425783 https://doi.org/10.1007/978-3-031-42576-9 ZDB-2-BUM ZDB-2-SXBM 57658 57658