Ethical Design Intelligence: The Virtuous Designer explores the deep significance of philosophy and ethics to the practice of design. It offers designers from disciplines such as architecture, urban design, planning, landscape, interior, and industrial design an alternative ethical framework in which to expand their thinking about their practice. Arguing that design today is primarily an agency driven by the momentum of globalization, embedded in economy, materialism, and utility, the book reconceptualizes the notion of virtue in design practice. Across chapters covering topics such as virtuous character, creative agency, and unsustainable practices, the book scrutinizes design through a philosophical lens. d’Anjou dissects articulations from different philosophical thinkers from antiquity to contemporary time to reveal that ethics is fundamental to everything affected by design. Countering well-established modes of postmodern relativism in design, which has led to “defuturing” and “unsustainability,” ethical realism is presented as an alternative solution. This book is written for designers, educators, researchers, and students.

Artificial Intelligence (AI), including Machine Learning with Deep Neural Networks, is making and supporting decisions in ways that increasingly affect humans in many aspects of their lives. Both autonomous and decision-support systems applying AI algorithms and data-driven models are used for decisions about justice, education, physical and psychological health, and to provide or deny access to credit, healthcare, and other essential resources, in all aspects of daily life, in increasingly ubiquitous and sometimes ambiguous ways. Too often these systems are built without considering the human factors associated with their use and the need for clarity about the correct way to use them, and possible biases. Models and systems provide results that are difficult to interpret and are accused of being good or bad, whereas good or bad is only the design of such tools, and the necessary training for them to be properly integrated into human values.

This foundational text examines the intersection of AI, psychology, and ethics, laying the groundwork for the importance of ethical considerations in the design and implementation of technologically supported education, decision support, and leadership training. AI already affects our lives profoundly, in ways both mundane and sensational, obvious and opaque. Much academic and industrial effort has considered the implications of this AI revolution from technical and economic perspectives, but the more personal, humanistic impact of these changes has often been relegated to anecdotal evidence in service to a broader frame of reference. Offering a unique perspective on the emerging social relationships between people and AI agents and systems, Hampton and DeFalco present cutting-edge research from leading academics, professionals, and policy standards advocates on the psychological impact of the AI revolution. Structured into three parts, the book explores the history of data science, technology in education, and combatting machine learning bias, as well as future directions for the emerging field, bringing the research into the active consideration of those in positions of authority. Exploring how AI can support expert, creative, and ethical decision making in both people and virtual human agents, this is essential reading for students, researchers, and professionals in AI, psychology, ethics, engineering education, and leadership, particularly military leadership.

Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life. Algorithms have made our lives more efficient, more entertaining, and, sometimes, better informed. At the same time, complex algorithms are increasingly violating the basic rights of individual citizens. Allegedly anonymized datasets routinely leak our most sensitive personal information; statistical models for everything from mortgages to college admissions reflect racial and gender bias. Meanwhile, users manipulate algorithms to "game" search engines, spam filters, online reviewing services, and navigation apps. Understanding and improving the science behind the algorithms that run our lives is rapidly becoming one of the most pressing issues of this century. Traditional fixes, such as laws, regulations and watchdog groups, have proven woefully inadequate. Reporting from the cutting edge of scientific research, The Ethical Algorithm offers a new approach: a set of principled solutions based on the emerging and exciting science of socially aware algorithm design. Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code - without halting the advance of data-driven scientific exploration. Weaving together innovative research with stories of citizens, scientists, and activists on the front lines, The Ethical Algorithm offers a compelling vision for a future, one in which we can better protect humans from the unintended impacts of algorithms while continuing to inspire wondrous advances in technology.

This overview of the ethical issues raised by artificial intelligence moves beyond hype and nightmare scenarios to address concrete questions—offering a compelling, necessary read for our ChatGPT era. Artificial intelligence powers Google’s search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues. Written by a philosopher of technology, AI Ethics goes beyond the usual hype and nightmare scenarios to address concrete questions. Mark Coeckelbergh describes influential AI narratives, ranging from Frankenstein’s monster to transhumanism and the technological singularity. He surveys relevant philosophical discussions: questions about the fundamental differences between humans and machines and debates over the moral status of AI. He explains the technology of AI, describing different approaches and focusing on machine learning and data science. He offers an overview of important ethical issues, including privacy concerns, responsibility and the delegation of decision making, transparency, and bias as it arises at all stages of data science processes. He also considers the future of work in an AI economy. Finally, he analyzes a range of policy proposals and discusses challenges for policymakers. He argues for ethical practices that embed values in design, translate democratic values into practices and include a vision of the good life and the good society.

Freedom is compelling in design; it has to be acknowledged, accepted, and comprehended in all its existential complexity to better understand and engage the intricate ethical domain of design practice. The book addresses that issue by thoroughly examining design ethics, and design in general, within an existentialist philosophical framework. Its inquiry reveals a puzzling and unsettling reality of design ethics, and hence what constitutes an ethical design practice where there is no exit for designers but complete acceptance of their freedom and responsibility. This book makes a unique, original, and invaluable contribution to the design literature and design ethics scholarship. Scholars, professors, students, and professionals in all design disciplines, as well as any person involved in arts, humanities, philosophy, social sciences, and engineering, will find philosophical insights that will challenge design thinking and inspire them to rethink design ethics as an agency of human existence making instead of code compliance. Making a case for existentialist design ethics, this book lays the ground for a radical transformation of how we conceive design, ethics in design practice, and the role of designers in the world.