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An exploration of how design might be led by marginalized communities, dismantle structural inequality, and advance collective liberation and ecological survival. What is the relationship between design, power, and social justice? “Design justice” is an approach to design that is led by marginalized communities and that aims expilcitly to challenge, rather than reproduce, structural inequalities. It has emerged from a growing community of designers in various fields who work closely with social movements and community-based organizations around the world. This book explores the theory and practice of design justice, demonstrates how universalist design principles and practices erase certain groups of people—specifically, those who are intersectionally disadvantaged or multiply burdened under the matrix of domination (white supremacist heteropatriarchy, ableism, capitalism, and settler colonialism)—and invites readers to “build a better world, a world where many worlds fit; linked worlds of collective liberation and ecological sustainability.” Along the way, the book documents a multitude of real-world community-led design practices, each grounded in a particular social movement. Design Justice goes beyond recent calls for design for good, user-centered design, and employment diversity in the technology and design professions; it connects design to larger struggles for collective liberation and ecological survival.
The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.
Social equity is a pillar of public service. Thus, social equity should be a central concern in public management in practice and scholarship. However, widespread incorporation and reflection of social equity practices in government and the anticipated public benefits still seem like an elusive goal. The ability to analytically assess social equity is the first step toward prescribing social equity reforms. Public affairs graduate programs, like a master’s in public administration or public policy, often teach public management separately from social equity. This book empirically and theoretically bridges social equity and public management for use in the public affairs graduate classroom. The book highlights international research that leverages public management theory to build reasonable social equity measures and applications. The research highlighted in the text includes studies from across countries in North and South America, Europe, Southeast Asia, and Australia. This is the first book specifically designed for global public affairs classrooms that connects public management theory and practice with social equity reforms.
As artificial general intelligence (AGI) emerges from the realm of science fiction to become a tangible reality, the world stands on the brink of a transformative era. "AGI Architects: Building a Symbiotic Civilization with Superintelligent Systems" by Josh explores the potential of AGI-driven systems to revolutionize the way we live, work, and interact in harmony with these powerful technologies. In this comprehensive and insightful book, Josh delves into the numerous applications of AGI-driven systems, from smart cities and sustainable agriculture to climate change mitigation and space exploration. Central to the discussion is the concept of a symbiotic civilization, where humans and AGI collaborate seamlessly, creating a world that is greater than the sum of its parts. Josh also addresses the challenges that come with the development and deployment of AGI-driven systems, such as ethical considerations, privacy and surveillance concerns, and governance issues. By offering insights and potential solutions, the book ensures that these technologies are developed and deployed in a manner that aligns with our values and promotes the well-being of all members of society. As we move toward a future where AGI-driven systems become an integral part of our lives, "AGI Architects" explores how we can prepare society for this symbiotic future, fostering the skills and mindset necessary for individuals to thrive in a world where humans and AGI work together. Join Josh on a journey of discovery, innovation, and collaboration as we explore the potential of AGI-driven systems and their implications for our world. This thought-provoking book will spark curiosity, inspire dialogue, and encourage readers to consider the possibilities and challenges that lie ahead in building a symbiotic civilization with superintelligent systems.
A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.
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]
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.
"Artificial Intelligence and Society: Challenges and Opportunities for Social Justice" is a comprehensive book that dives into the intersection between artificial intelligence and social justice issues. Understanding the growing influence of AI in our society, this book seeks to analyze how this technology can both perpetuate and mitigate existing inequalities. Throughout its pages, the book explores crucial topics such as algorithmic bias and its relationship to discrimination, the impact of AI on marginalized communities, equitable access to technology, and the role of ethics and governance in building fair and accountable systems. In addition, examples of positive applications of AI in areas such as health, education and poverty relief are presented, as well as reflections on the transformative potential of this technology. Written by experts in the field, the book offers an in-depth and reflective analysis of the challenges and opportunities AI poses for social justice. With an educational and informative approach, it seeks to encourage the reader to reflect on the ethical and social implications of AI, promoting critical understanding and active engagement. "Artificial Intelligence and Society: Challenges and Opportunities for Social Justice" is an invitation to a journey of discovery, providing a comprehensive and up-to-date overview on the topic. By the end of the reading, it is hoped that the reader will have gained a broader view on the interaction between AI and social justice, as well as the individual and collective role in the quest for a more equitable and inclusive future.
Artificial Intelligence and Machine Learning for Sustainable Development is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the field of sustainable development. The book examines cutting-edge innovations, practical applications, and potential challenges in harnessing AI and ML to address global sustainability issues. It offers insights into how these technologies can optimize resource management, improve environmental monitoring, enhance decision-making processes, and promote equitable, eco-friendly solutions. This book would be of special interest to researchers, policymakers, and practitioners seeking to leverage cutting-edge technology for a more sustainable future.