Beyond Algorithms The Human Side Of Artificial Intelligence
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Beyond Algorithms: The Human Side of Artificial Intelligence
Journey into the uncharted realm where artificial intelligence (AI) intertwines with the complexities of human nature. This illuminating book invites you to explore the profound implications of AI beyond its technical foundations. Delve into the ethical quandaries, biases, and potential pitfalls that arise as AI becomes an increasingly ubiquitous force in our lives. Discover the crucial role of human values in shaping the development and deployment of AI, ensuring it aligns with our aspirations for a just and equitable society. Unravel the intricate interplay between AI and human cognition, communication, and decision-making. Explore the ways in which AI can enhance our capabilities while also posing challenges to our understanding of ourselves and our place in the world. This thought-provoking and accessible guide empowers you to engage in informed discussions about the future of AI. It provides essential insights for anyone interested in the intersection of technology, humanity, and the profound choices we face in the digital age.
Demystifying the Dark Side of AI in Business
Demystifying the Dark Side of AI in Business delves into the often-overlooked negative aspects of Artificial Intelligence (AI) and its implications for organizations. In an era where AI is rapidly transforming industries and work environments, it is crucial to understand the potential risks and challenges associated with its implementation. Drawing from a wide range of global perspectives, this book brings together articles from leading researchers, academicians, and professionals across disciplines to shed light on the dark side of AI. Through academic rigor and meticulous analysis, the book addresses key topics such as unethical AI implementation, safety risks, negative social impacts, unintended consequences, and legal concerns surrounding AI adoption. This book covers crucial topics such as governance, ethical concerns, safety risks, social impacts, and future perspectives. By illuminating the negative implications of AI, this book paves the way for responsible and informed AI adoption, ensuring a balance between the potential benefits and the inherent risks associated with this transformative technology. Targeting researchers, academicians, professionals, and students with a wide range of interests, this book offers a rich understanding of the theoretical and practical implications of AI. It serves as a valuable resource for management disciplines like human resource management, marketing, financial management, and operations management, enabling readers to grasp the nuances of ai in different organizational contexts.
Osiris, Volume 38
Author: James Evans
language: en
Publisher: University of Chicago Press
Release Date: 2023-07-18
Perceptively explores the shifting intersections between algorithmic systems and human practices in the modern era. How have algorithmic systems and human practices developed in tandem since 1800? This volume of Osiris deftly addresses the question, dispelling along the way the traditional notion of algorithmic “code” and human “craft” as natural opposites. Instead, algorithms and humans have always acted in concert, depending on each other to advance new knowledge and produce social consequences. By shining light on alternative computational imaginaries, Beyond Craft and Code opens fresh space in which to understand algorithmic diversity, its governance, and even its conservation. The volume contains essays by experts in fields extending from early modern arithmetic to contemporary robotics. Traversing a range of cases and arguments that connect politics, historical epistemology, aesthetics, and artificial intelligence, the contributors collectively propose a novel vocabulary of concepts with which to think about how the history of science can contribute to understanding today’s world. Ultimately, Beyond Craft and Code reconfigures the historiography of science and technology to suggest a new way to approach the questions posed by an algorithmic culture—not only improving our understanding of algorithmic pasts and futures but also unlocking our ability to better govern our present.