Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]

Dieses Buch diskutiert die Digitalisierung, Robotisierung und Automatisierung der Gesellschaft und Wirtschaft und den Einsatz von künstlicher Intelligenz aus einer ethischen Perspektive. Nach einer Einleitung zur Beziehung zwischen Moral und Technologie und einer Bewertung der Moralfähigkeit von Technologien führt das Buch ethische Prinzipien ein, die der ethischen Beurteilung der digitalen Transformation der Gesellschaft und Wirtschaft zugrunde liegen. Anschließend werden Chancen und Herausforderungen der digitalen Transformation aus einer ethischen Sicht analysiert. Schließlich werden hinsichtlich der Herausforderungen ethische Lösungsansätze entwickelt. Einer der Forschungsschwerpunkte von Peter G. Kirchschläger (Ordinarius für Theologische Ethik und Leiter des Instituts für Sozialethik ISE an der Universität Luzern; zuvor Visiting Fellow an der Yale University) liegt auf der Ethik der Digitalisierung, Robotisierung, Automatisierung und künstlichen Intelligenz.

Experts from disciplines that range from computer science to philosophy consider the challenges of building AI systems that humans can trust. Artificial intelligence-based algorithms now marshal an astonishing range of our daily activities, from driving a car ("turn left in 400 yards") to making a purchase ("products recommended for you"). How can we design AI technologies that humans can trust, especially in such areas of application as law enforcement and the recruitment and hiring process? In this volume, experts from a range of disciplines discuss the ethical and social implications of the proliferation of AI systems, considering bias, transparency, and other issues. The contributors, offering perspectives from computer science, engineering, law, and philosophy, first lay out the terms of the discussion, considering the "ethical debts" of AI systems, the evolution of the AI field, and the problems of trust and trustworthiness in the context of AI. They go on to discuss specific ethical issues and present case studies of such applications as medicine and robotics, inviting us to shift the focus from the perspective of a "human-centered AI" to that of an "AI-decentered humanity." Finally, they consider the future of AI, arguing that, as we move toward a hybrid society of cohabiting humans and machines, AI technologies can become humanity's allies.