Brains and Machines: Towards a unified Ethics of AI and Neuroscience provides a comprehensive overview of concepts and ethical issues at the intersection of two emerging technological trends in the 21st century: AI and neurotechnology. In line with recent advances across both fields, debates about philosophical, ethical, regulatory and social issues raised by neuroscience and AI have considerably expanded in the past decade. Yet, despite many intersections and fruitful interactions between the two scientific domains, ethical debates about neuroscience and AI have mostly moved in parallel. This volume assembles voices from various disciplines to provide a more unified view and offer novel perspectives on two complementary lines of discourse. The volume provides scientific background by outlining the state of the art of applying AI in the field of neuroscience and discussing instances where findings and debates from neuroscience provide cues and inspiration to the study of AI. Based on this background, the book then addresses conceptual frameworks, identifies ethical challenges at the intersection of neuroscience and AI, and highlights challenges and opportunities of finding common ground in interdisciplinary settings. - Provides complementary perspectives from international experts on neuroscience, AI and ethics - Searches for common ground in debates that have in the past often moved in parallel - Provides an introduction into current ethical debates at the intersection of two fast-moving key technologies

With worldwide spending estimates of over $97 billion by 2023, it is no surprise that Artificial Intelligence (A.I.) is one of the hottest topics at present in both the private and public spheres. Comprising of vital contributions from the most influential researchers in the field, including Daniel Dennett, Roman V. Yampolskiy, Frederic Gilbert, Stevan Harnad, David Pearce, Natasha Vita-More, Vernon Vinge and Ben Goertzel, ‘The Age of Artificial Intelligence: An Exploration’ discusses a variety of topics ranging from the various ethical issues associated with A.I. based technologies in terms of morality and law to subjects related to artificial consciousness, artistic creativity and intelligence. The volume is organized as follows: Section I is dedicated to reflections on the Intelligence of A.I., with chapters by Soenke Ziesche and Roman V. Yampolskiy, Stevan Harnad, Daniel Dennett and David Pearce. Next, Section II discusses the relationship between consciousness, simulation and artificial intelligence, with chapters by Gabriel Axel Montes and Ben Goertzel, Cody Turner, Nicole Hall and Steven S. Gouveia. Section III, dedicated to aesthetical creativity and language in artificial intelligence, includes chapters by Caterina Moruzzi, René Mogensen, Mariana Chinellato Ferreira and Kulvinder Panesar. The subsequent Section IV is on the Ethics of the Bionic Brain with the participation of Peter A. DePergola II, Tomislav Miletić and Frederic Gilbert, Aníbal M. Astobiza, Txetxu Ausin, Ricardo M. Ferrer and Stephen Rainey and Natasha Vita-More. Finally, Section V follows on the Ethics of Artificial Intelligence with chapters by Federico Pistono and Roman V. Yamploskiy, Hasse Hämäläinen, Vernon Vinge and Eray Özkural. The Age of Artificial Intelligence is imminent, if not here already. We should ensure that we invest in the right people and the right ideas to create the best possible solutions to the problems of the present and prepare for those of the future. This edited volume will be of particular interest to researchers in the field of A.I. as well of those in Cognitive Science (Philosophy of the Mind, Neuroscience, and Linguistics), Aesthetics and Arts, Applied Ethics and Political Philosophy / Law. Students studying the aforementioned topics can also benefit from its contents.

In an era where artificial intelligence (AI) is rapidly transforming every aspect of our lives— from healthcare and education to finance and national security—society stands at a critical crossroads. The promise of AI is undeniable: enhanced efficiency, groundbreaking discoveries, and solutions to some of the world’s most complex challenges. But alongside this remarkable potential lies profound responsibility. As AI technologies become more autonomous and embedded into the fabric of our world, they also introduce ethical dilemmas that demand our immediate attention. "Navigating AI Ethics: Building a Responsible and Equitable Future" is a timely exploration of these ethical challenges. It offers a comprehensive guide to understanding how AI systems can—and must—be developed and deployed in ways that reflect the principles of fairness, accountability, and human dignity. The decisions we make today in governing AI will reverberate for generations to come, shaping not only technological progress but also the very fabric of our global society. Ethical considerations in AI are no longer abstract thought experiments confined to academic circles. We are already witnessing the real-world impact of AI systems in determining who gets hired, who receives loans, how law enforcement resources are allocated, and even who receives critical medical care. Yet, as these technologies become more powerful, they also become more opaque, raising urgent questions about transparency, bias, accountability, and control. Who is responsible when AI systems make mistakes or produce biased outcomes? How can we ensure that AI serves the interests of all humanity rather than reinforcing existing inequalities or creating new ones? This book aims to provide answers to these questions by offering a roadmap for building a responsible and equitable AI future. It explores the ethical principles that should guide AI development and presents practical frameworks for incorporating these principles into real-world applications. Drawing on insights from philosophers, technologists, policymakers, and industry leaders, "Navigating AI Ethics" seeks to balance innovation with ethical responsibility. At its core, this book is about safeguarding the human element in AI. As much as we are captivated by the potential of intelligent machines, the ultimate goal must always be to enhance, rather than diminish, human well-being. This involves not only preventing harm and addressing bias but also ensuring that the benefits of AI are distributed fairly across all sectors of society. As you journey through this book, you will gain a deeper understanding of the evolution of AI ethics, from early theoretical discussions to the concrete challenges facing us today. You will explore the pivotal roles that data, bias, privacy, and transparency play in shaping AI’s ethical landscape, and you will confront the difficult questions surrounding autonomy, accountability, and control in an increasingly automated world. The book also offers a forward-looking perspective, examining the future of AI ethics as we edge closer to the development of superintelligent systems, and how global cooperation will be essential to navigating these uncharted waters. "Navigating AI Ethics: Building a Responsible and Equitable Future" is more than just a discussion of the problems AI presents—it is a call to action. The future of AI is not predetermined; it will be shaped by the choices we make today. By embracing an ethical approach to AI development, we can ensure that these technologies contribute to a future that is not only intelligent but also just, fair, and aligned with the highest ideals of humanity. This is the future we must strive for: one where AI serves humanity, upholds ethical standards, and helps build a world that is better for all. Welcome to this critical exploration of AI ethics. Together, we can navigate the complex challenges of AI and ensure that its future is both responsible and equitable.

This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches. The term "A.I." is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm. This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today-in everyday medical practice, for instance-to reflections on the (potential) status of AI as a form of consciousness with attendant rights and duties and, more generally still, on the conceptual terms and frameworks necessarily to understand tasks requiring intelligence, whether "human" or "A.I."

The Ethics of Artificial Intelligence in Education identifies and confronts key ethical issues generated over years of AI research, development, and deployment in learning contexts. Adaptive, automated, and data-driven education systems are increasingly being implemented in universities, schools, and corporate training worldwide, but the ethical consequences of engaging with these technologies remain unexplored. Featuring expert perspectives from inside and outside the AIED scholarly community, this book provides AI researchers, learning scientists, educational technologists, and others with questions, frameworks, guidelines, policies, and regulations to ensure the positive impact of artificial intelligence in learning.

In an age where Artificial Intelligence (AI) evolves at a breakneck pace, the boundaries of machine capabilities are constantly being redefined. Propelled by advancements in deep learning and related technologies, AI is inching ever closer to mimicking human intellect. But can it achieve consciousness? And if so, at what cost to humanity? This book delves deep into the multi-faceted debate surrounding artificially conscious AI. It untangles ethical quandaries, philosophical dilemmas, technological challenges, political considerations, and the regulatory landscape. By drawing connections between AI research, neuroscience, and cognitive science, the narrative provides a comprehensive understanding of what consciousness might mean in the context of AI. As over a thousand AI luminaries globally sound the alarm, urging a pause on certain AI developments, the book underscores the urgency of its message. Recent incidents have spotlighted AI systems with capabilities so advanced that even their creators grapple to fully grasp or control them. It’s imperative, now more than ever, to critically assess the implications of AI consciousness, weighing its potential risks against its benefits. This book offers both a timely warning and a call to informed action.

New ways of understanding the brain – its nature, its capacities, its function, and its dysfunction – hold great promise for human wellbeing. Novel therapeutics spurred by this understanding have important roles addressing many clinical conditions, including Alzheimer Disease, depression, addiction, and obsessive-compulsive disorder. This unique title explores a wide range of groundbreaking sciences and clinical practices for brain-based conditions, including deep brain stimulation, optogenetics, technology-delivered therapies, predictive testing, and new clinical uses of ketamine, cannabis, and other psychoactive substances. An introduction to the imperative to develop new treatments for devastating brain disorders and the state of current therapeutics in psychiatry, addiction, and behavioral disorders is presented, and chapters from leading physician-scientists and neuroethicists outline the clinical and the ethical issues arising in innovation and in the creation of new therapeutics for brain diseases. Written by renowned thought leaders in their fields, the book presents tightly written contributions on novel qualitative and quantitative data from stakeholders in the field, including neuroscientist-clinicians, people living with mental illness and/or addictions, and oversight/policy stakeholders. Concise, anticipatory, and centered on the principles governing human biomedical research and innovation in developing novel therapeutics for brain disorders, Ethics and Clinical Neuroinnovation will be of great value to clinicians, researchers, and students from a vast array of backgrounds, including neuroethics, neuroscience, psychology, psychiatry, philosophy, entrepreneurship, and the law.

This book is the second of the series about the imperatives for the search for new psychiatry. As stated in my recent 2021 book about: The Search for New Psychiatry, current psychiatric practices have failed many: patients and their families, their doctors and the society at large. That was the end of the 2021 book and the beginning of this book as a follow up in search for pathways to a new and more effective science-based practice Based on its major contributions to the recent successful and expedient development of the Covid 19 vaccines, I am proposing the same pathway of using the new revolution in informatics as the way to save and secure the future of psychiatry and that is what I am recommending in this book reaping the benefit of AI and Big Data Analytics but with a wide open eye on its limits, reliability, risks, unforeseen or unintentional harms. Part Two of the book deals with a number of perineal and also new challenges that continue to require better understanding and resolution. Among the phenomenological and nosological challenges, the recent development by Neurology of its subspeciality of Behavioral Neurology in competition to Neuropsychiatry, is reviewed in terms of an opportunity for integration of the tow subspecialities towards the creation of a new third field of “Clinical Neurosciences”. Other challenges included are: The Subjective /Objective Dichotomy, Lunacy and the Moon- reflections on the interactions of the brain and environment and Woke Psychiatry, what is it? Several other clinical challenges include: The Past is Coming Back as The Future -The Rise, Fall and Rise Again of Psychedelics, Loneliness as the silent disorder and several other challenges. At the end, a postscript has been hastily added in memory of a close friend, a pioneering psychopharmacologist but above all an empathic humanist, Professor Thomas Arthur Ban or as he always preferred, Tom.

This book offers a comprehensive analysis of philosophical, social, ethical, and legal challenges arising as a consequences of current advances in neurosciences and neurotechnology. It starts by offering an overview of fundamental concepts such as mental privacy, personal autonomy, mental integrity, and responsibility, among others. In turn, it discusses the influence of possible misuses or uncontrolled uses of neurotechnology on those concepts, and, more in general, on human rights and equality. Then, it makes some original proposals to deal with the main ethical, legal, and social problems associated to the use of neurotechnology, both in medicine and in everyday life, suggesting possible policies to protect privacy, neural data, and intimacy. Crossing the borders between humanities, natural sciences, bio-medicine, and engineering, and taking into account geographical and cultural differences, this book offers a conceptual debate around policy and decision making concerning some of the key neuroethical challenges of our times. It offers a comprehensive guide to the most important issues of neurojustice and neuroprotection, together with a set of new paradigms to face some of the most urgent neuroethical problems of our times.

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.