The digitising of Indigenous cultural heritage (CH) is not often debated in international research. A topical gap in research-based knowledge on the legal and ethical practices of various fields of Indigenous CH exists, for example, regarding digitisation, education, law, social processes, and creative practices. This anthology results from a project aimed at juxtaposing southern and northern perspectives on sustainable practices for digitising indigenous CH. The book seeks to raise awareness, thoroughly discuss the digitisation of CH from a multidisciplinary perspective, and, in this way, disseminate research findings that elaborate on the topic of creating trust in digitising Indigenous CH. The objective is to provide a holistic understanding of key challenges and propose potential novel, workable, substantive, and methodological solutions via which to navigate the legal and cultural tensions within the processes of digitising Indigenous CH in ethical ways.

This revolutionary new book on using AI to process human emotion data seeks to raise awareness for the topic, thoroughly discuss it from a multidisciplinary perspective and, by doing so, disseminate research findings that elaborate on the current and future regulatory needs for the responsible and ethical development and application of emotional AI. Biometric and psychological data of humans are the most sensitive data on human behavior. The book’s objective is to provide a holistic understanding of key challenges and propose novel, workable, substantive and methodological solutions for navigating current and future legal and ethical needs and dilemmas regarding the processes of developing and using emotional AI.Although both the academic community and political decision-makers continue to intensively discuss issues in the ethical regulation of AI, there is still a very limited understanding of both the opportunities and the risks in connection with emotional AI specifically. Yet, emotional AI is one of the most promising areas of AI developments and applications. Several of these innovations could be a welcome change in our society, as they could improve our well-being in various ways.That being said, these inventions require considerable investments. Thus, legal incentives such as IPRs are crucial to supporting investment in these fields. Further, these innovations might have negative effects on the privacy and autonomy of natural persons, raising both legal and ethical concerns. Thus, their legal and ethical acceptability, as well as their societal acceptance, might be challenged by several legal provisions in the EU, such as the GDPR; regulations on communications, social platforms, and marketing; and the draft AI Act. Yet, the current legal landscape for emotional AI in Europe is anything but clear – an aspect that becomes even more apparent when we consider the global picture of the regulatory framework for emotional AI. In this book, a diverse team of internationally respected experts addresses these issues, engaging in a multidisciplinary study into techno-economic-legal developments concerning emotional AI, its impacts, and the need for action. The book offers in-depth scientific and societally relevant insights on the past, present and future of AI in general, especially its many implications for law and policy. Although the primary target audience for the book are academics from the field of law, the book also offers sound guidance for legislators and general policymakers, as well as companies and organizations.  

The digitising of Indigenous cultural heritage (CH) is not often debated in international research. A topical gap in research-based knowledge on the legal and ethical practices of various fields of Indigenous CH exists, for example, regarding digitisation, education, law, social processes, and creative practices. This anthology results from a project aimed at juxtaposing southern and northern perspectives on sustainable practices for digitising indigenous CH. The book seeks to raise awareness, thoroughly discuss the digitisation of CH from a multidisciplinary perspective, and, in this way, disseminate research findings that elaborate on the topic of creating trust in digitising Indigenous CH. The objective is to provide a holistic understanding of key challenges and propose potential novel, workable, substantive, and methodological solutions via which to navigate the legal and cultural tensions within the processes of digitising Indigenous CH in ethical ways.

This revolutionary new book on using AI to process human emotion data seeks to raise awareness for the topic, thoroughly discuss it from a multidisciplinary perspective and, by doing so, disseminate research findings that elaborate on the current and future regulatory needs for the responsible and ethical development and application of emotional AI. Biometric and psychological data of humans are the most sensitive data on human behavior. The book’s objective is to provide a holistic understanding of key challenges and propose novel, workable, substantive and methodological solutions for navigating current and future legal and ethical needs and dilemmas regarding the processes of developing and using emotional AI.Although both the academic community and political decision-makers continue to intensively discuss issues in the ethical regulation of AI, there is still a very limited understanding of both the opportunities and the risks in connection with emotional AI specifically. Yet, emotional AI is one of the most promising areas of AI developments and applications. Several of these innovations could be a welcome change in our society, as they could improve our well-being in various ways.That being said, these inventions require considerable investments. Thus, legal incentives such as IPRs are crucial to supporting investment in these fields. Further, these innovations might have negative effects on the privacy and autonomy of natural persons, raising both legal and ethical concerns. Thus, their legal and ethical acceptability, as well as their societal acceptance, might be challenged by several legal provisions in the EU, such as the GDPR; regulations on communications, social platforms, and marketing; and the draft AI Act. Yet, the current legal landscape for emotional AI in Europe is anything but clear – an aspect that becomes even more apparent when we consider the global picture of the regulatory framework for emotional AI. In this book, a diverse team of internationally respected experts addresses these issues, engaging in a multidisciplinary study into techno-economic-legal developments concerning emotional AI, its impacts, and the need for action. The book offers in-depth scientific and societally relevant insights on the past, present and future of AI in general, especially its many implications for law and policy. Although the primary target audience for the book are academics from the field of law, the book also offers sound guidance for legislators and general policymakers, as well as companies and organizations.