Artificial Knowing challenges the masculine slant in the Artificial Intelligence (AI) view of the world. Alison Adam admirably fills the large gap in science and technology studies by showing us that gender bias is inscribed in AI-based computer systems. Her treatment of feminist epistemology, focusing on the ideas of the knowing subject, the nature of knowledge, rationality and language, are bound to make a significant and powerful contribution to AI studies. Drawing from theories by Donna Haraway and Sherry Turkle, and using tools of feminist epistemology, Adam provides a sustained critique of AI which interestingly re-enforces many of the traditional criticisms of the AI project. Artificial Knowing is an esential read for those interested in gender studies, science and technology studies, and philosophical debates in AI.
Knowledge representation is at the very core of a radical idea for understanding intelligence. This book talks about the central concepts of knowledge representation developed over the years. It is suitable for researchers and practitioners in database management, information retrieval, object-oriented systems and artificial intelligence.
Written by a leading authority on Chinese philosophy, Decoding Dao uniquely focuses on the core texts in Daoist philosophy, providing readers with a user-friendly introduction that unravels the complexities of these seminal volumes. Offers a detailed introduction to the core texts in Daoist philosophy, the Dao De Jing and the Zhuangzi, two of the most widely read – and most challenging – texts in China’s long literary history Covers the three main ways the texts can be read: as religious, mystical, and philosophical works Explores their historical context, origins, authorship, and the reasons these seminal texts came into being, along with the key terms and approaches they take Examines the core philosophical arguments made in the texts, as well as the many ways in which they have been interpreted, both in China itself and in the West Provides readers with an unrivalled insight into the multifaceted philosophy of Daoism – and the principles underlying much of Chinese culture – informed by the very latest academic scholarship
A Sunday Times Business Book of the Year. Scary Smart will teach you how to navigate the scary and inevitable intrusion of Artificial Intelligence, with an accessible blueprint for creating a harmonious future alongside AI. From Mo Gawdat, the former Chief Business Officer at Google [X] and bestselling author of Solve for Happy. Technology is putting our humanity at risk to an unprecedented degree. This book is not for engineers who write the code or the policy makers who claim they can regulate it. This is a book for you. Because, believe it or not, you are the only one that can fix it. - Mo Gawdat Artificial intelligence is smarter than humans. It can process information at lightning speed and remain focused on specific tasks without distraction. AI can see into the future, predict outcomes and even use sensors to see around physical and virtual corners. So why does AI frequently get it so wrong and cause harm? The answer is us: the human beings who write the code and teach AI to mimic our behaviour. Scary Smart explains how to fix the current trajectory now, to make sure that the AI of the future can preserve our species. This book offers a blueprint, pointing the way to what we can do to safeguard ourselves, those we love, and the planet itself. 'No one ever regrets reading anything Mo Gawdat has written.' - Emma Gannon, author of The Multi-Hyphen Method and host of the podcast Ctrl Alt Delete
The atheism dispute is one of the most important philosophical controversies of late eighteenth and early nineteenth century Germany. Johann Gottlieb Fichte, one of the leading philosophers of the period, was accused of atheism after publishing his essay 'On the Ground of Our Belief in a Divine World-Governance', which he had written in response to Karl Friedrich Forberg's essay 'Development of the Concept of Religion'. Fichte argued that recognition of the moral law includes affirmation of a 'moral world order', which he identified with God. Critics charged both Forberg and Fichte with atheism, thereby prompting Fichte to launch a public campaign of defense that included his threat to resign his position at the University of Jena if he were subjected to any government reprimand. Fichte was forced to make good this threat when his work was censured. The dispute eventually died down but it influenced many other thinkers for years to come. J. G. Fichte: The Atheism Dispute (1798-1800) is the first English commentary devoted solely to the atheism dispute as well as the first English translation of collected writings from the Atheism Dispute. This book brings together many major essays and documents relating to this dispute. These include the anonymous polemic 'A Father's Letter to his Student Son about Fichte's and Forberg's Atheism', Fichte's essays 'Appeal to the Public' and 'Juridical Defense', and numerous documents from the University of Jena and the ducal courts of Dresden, Weimar, and Gotha. Most of the texts are translated from German into English for the first time, and all are accompanied by full commentaries and detailed notes. Bowman and Estes bring to an English speaking audience the full details of this controversy, which ended Fichte's career in Jena and profoundly influenced his approach to communicating philosophical and religious concepts.
Critiques of Knowing explores what happens to science and computing when we think of them as texts. Lynette Hunter elegantly weaves together vast areas of thought: rhetoric, politics, AI, computing, feminism, science studies, aesthetics and epistemology. Critiques of Knowing shows us that what we need is a radical shake-up of approaches to the arts if the critiques of science and computing are to come to any fruition.
ELLENBALKA Simon Fraser University ebalka@Sfu. ca 1. INTRODUCTION In developing the call for papers for the 7th International Federation of Information Processors (IFIP) Women, Work and Computerization Conference, we sought to cast our net widely. We wanted to encourage presenters to think broadly about women, work and computerization. Towards this end, the programme committee developed a call for papers that, in its final form, requested paper submissions around four related themes. These are (1) Setting the Course: Taking Stock of Where We Are and Where We're Going; (2) Charting Undiscovered Terrain: Creating Models, Tools and Theories; (3) Navigating the Unknown: Sex, Time, Space and Place, and (4) Taking the Helm: Education and Pedagogy. Our overall conference theme, 'Charting a Course to the Future' was inspired in part by Vancouver's geography, which is both coastal and mountainous. As such, navigation plays an important part in the lives of many as we seek to enjoy our environs. In addition, as the first Women, Work and Computerization conference of the new millennium, we hoped to encourage the broad community of scholars that has made past Women, Work and Computerization conferences a success to actively engage in imagining--and working towards-- a better future for women in relation to computers. The contributions to this volume are both a reflection of the hard work undertaken by many to improve the situation of women in relation to computerization, and a testament to how much work is yet to be done.
The field of Soft Computing in Humanities and Social Sciences is at a turning point. The strong distinction between “science” and “humanities” has been criticized from many fronts and, at the same time, an increasing cooperation between the so-called “hard sciences” and “soft sciences” is taking place in a wide range of scientific projects dealing with very complex and interdisciplinary topics. In the last fifteen years the area of Soft Computing has also experienced a gradual rapprochement to disciplines in the Humanities and Social Sciences, and also in the field of Medicine, Biology and even the Arts, a phenomenon that did not occur much in the previous years. The collection of this book presents a generous sampling of the new and burgeoning field of Soft Computing in Humanities and Social Sciences, bringing together a wide array of authors and subject matters from different disciplines. Some of the contributors of the book belong to the scientific and technical areas of Soft Computing while others come from various fields in the humanities and social sciences such as Philosophy, History, Sociology or Economics. Rudolf Seising received a Ph.D. degree in philosophy of science and a postdoctoral lecture qualification (PD) in history of science from the Ludwig Maximilians University of Munich. He is an Adjoint Researcher at the European Centre for Soft Computing in Mieres (Asturias), Spain. Veronica Sanz earned a Ph.D. in Philosophy at the University Complutense of Madrid (Spain). At the moment she is a Postdoctoral Researcher at the Science, Technology and Society Center in the University of California at Berkeley. Veronica Sanz earned a Ph.D. in Philosophy at the University Complutense of Madrid (Spain). At the moment she is a Postdoctoral Researcher at the Science, Technology and Society Center in the University of California at Berkeley.
“Fascinating.” —Jill Lepore, The New Yorker A sweeping history of data and its technical, political, and ethical impact on our world. From facial recognition—capable of checking people into flights or identifying undocumented residents—to automated decision systems that inform who gets loans and who receives bail, each of us moves through a world determined by data-empowered algorithms. But these technologies didn’t just appear: they are part of a history that goes back centuries, from the census enshrined in the US Constitution to the birth of eugenics in Victorian Britain to the development of Google search. Expanding on the popular course they created at Columbia University, Chris Wiggins and Matthew L. Jones illuminate the ways in which data has long been used as a tool and a weapon in arguing for what is true, as well as a means of rearranging or defending power. They explore how data was created and curated, as well as how new mathematical and computational techniques developed to contend with that data serve to shape people, ideas, society, military operations, and economies. Although technology and mathematics are at its heart, the story of data ultimately concerns an unstable game among states, corporations, and people. How were new technical and scientific capabilities developed; who supported, advanced, or funded these capabilities or transitions; and how did they change who could do what, from what, and to whom? Wiggins and Jones focus on these questions as they trace data’s historical arc, and look to the future. By understanding the trajectory of data—where it has been and where it might yet go—Wiggins and Jones argue that we can understand how to bend it to ends that we collectively choose, with intentionality and purpose.
◆◆ "Embrace artificial intelligence or be replaced by it." ◆◆ "AI is a new electricity." Andrew Ng ✓Have you ever thought that if AI is the new electricity, why does it not quickly inspire Managers/Leaders/C-Suites? ✓If business leaders do not act, they must be prepared to lag behind competitors who adopt new technologies. ✓Managers/Leaders/C-Suites and others who are willing to feel the spark of AI, should learn and understand AI immediately to know what AI can do and what it cannot. ✓Did you know that AI is changing our world faster than we think? Artificial intelligence will affect all areas of life in ways we cannot even predict, whether we like it or not. According to research done by PricewaterhouseCoopers (PwC), by 2030, artificial intelligence can contribute up to US$15.7 trillion to the global economy, so the opportunities for implementing and learning AI are huge. ⚠ Companies that do not use AI will soon become obsolete. From making faster and better decisions to automating rote memorization to enabling robots to respond to emotions, artificial intelligence and machine learning have been reshaping business and society. ⚠ Not investing in the organizational and technical requirements of adopting AI may mean that they are far behind and unable to compete in the future. ✓ Business is changing. Will you adapt or fall behind? Accelerate and deepen your understanding of the themes that shape the company's future. ✓ This book is suitable for business executives, business managers, business leaders, senior managers, technical leaders, students, and many people who want to understand artificial intelligence. ✓ It will take you to learn the concepts of machine learning, artificial intelligence and deep learning, more and how to use them to influence your business. ✓✓ Even if you do not have technical knowledge, you will understand AI, ML and its implementation. ◆◆ Key features ◆◆ nbsp; ★ A must book for the business leader to understand AI and its application ★ Understand strategy behind AI implementation ★ Zero coding with simple explanation ★ A straightforward explanation for important algorithms like TensorFlow, NLP, K-Means, Support Vector Machine, Supervised Learning, Unsupervised Learning, Ensemble Techniques, Regression, Clustering, and many more ★★ Grab your copy of this book to build artificial intelligence for business and stand to the best of times!