Regulatory Insights On Artificial Intelligence
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Regulatory Insights on Artificial Intelligence
Author: Findlay, Mark
language: en
Publisher: Edward Elgar Publishing
Release Date: 2022-06-10
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.
AI Insights on Nuclear Medicine
The integration of artificial intelligence into nuclear medicine is transforming the field by enhancing diagnostic accuracy, optimizing treatment plans, and expanding patient access to high-quality care. As AI-driven technologies continue to evolve, they offer new opportunities for improving efficiency, reducing human error, and personalizing medical interventions. However, these advancements also come with challenges, requiring careful oversight to ensure ethical implementation, patient safety, and adherence to professional standards. The active involvement of the medical community is essential in shaping the responsible use of AI to maximize its benefits while safeguarding both patients and society. AI Insights on Nuclear Medicine explores the transformative role of artificial intelligence in nuclear medicine, focusing on its applications in diagnostic imaging, treatment planning, and predictive analytics. By leveraging machine learning and automation, AI enhances accuracy, efficiency, and personalized care, ultimately improving patient outcomes and streamlining clinical workflows. Covering topics such as hybrid imaging, precision therapeutics, and decentralized infrastructure, this book is an excellent resource for physicists, computational imaging scientists, physicians, statisticians, industry and regulatory agency representatives, professionals, researchers, scholars, academicians, and more.
Regulating Artificial Intelligence
Exploring potential scenarios of artificial intelligence regulation which prevent automated reality harming individual human rights or social values, this book reviews current debates surrounding AI regulation in the context of the emerging risks and accountabilities. Considering varying regulatory methodologies, it focuses mostly on EU’s regulation in light of the comprehensive policy making process taking place at the supranational level. Taking an ethics and humancentric approach towards artificial intelligence as the bedrock of future laws in this field, it analyses the relations between fundamental rights impacted by the development of artificial intelligence and ethical standards governing it. It contains a detailed and critical analysis of the EU’s Ethic Guidelines for Trustworthy AI, pointing at its practical applicability by the interested parties. Attempting to identify the most transparent and efficient regulatory tools that can assure social trust towards AI technologies, the book provides an overview of horizontal and sectoral regulatory approaches, as well as legally binding measures stemming from industries’ self-regulations and internal policies.