The Ethical Frontier of AI and Data Analysis

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Release : 2024-03-04
Genre : Computers
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The Ethical Frontier of AI and Data Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Ethical Frontier of AI and Data Analysis write by Kumar, Rajeev. This book was released on 2024-03-04. The Ethical Frontier of AI and Data Analysis available in PDF, EPUB and Kindle. In the advancing fields of artificial intelligence (AI) and data science, a pressing ethical dilemma arises. As technology continues its relentless march forward, ethical considerations within these domains become increasingly complex and critical. Bias in algorithms, lack of transparency, data privacy breaches, and the broader societal repercussions of AI applications are demanding urgent attention. This ethical quandary poses a formidable challenge for researchers, academics, and industry professionals alike, threatening the very foundation of responsible technological innovation. Navigating this ethical minefield requires a comprehensive understanding of the multifaceted issues at hand. The Ethical Frontier of AI and Data Analysis is an indispensable resource crafted to address the ethical challenges that define the future of AI and data science. Researchers and academics who find themselves at the forefront of this challenge are grappling with the evolving landscape of AI and data science ethics. Underscoring the need for this book is the current lack of clarity on ethical frameworks, bias mitigation strategies, and the broader societal implications, which hinder progress and leave a void in the discourse. As the demand for responsible AI solutions intensifies, the imperative for this reliable guide that consolidates, explores, and advances the dialogue on ethical considerations grows exponentially.

97 Things About Ethics Everyone in Data Science Should Know

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Release : 2020-08-06
Genre : Computers
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Book Rating : 63X/5 ( reviews)

97 Things About Ethics Everyone in Data Science Should Know - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook 97 Things About Ethics Everyone in Data Science Should Know write by Bill Franks. This book was released on 2020-08-06. 97 Things About Ethics Everyone in Data Science Should Know available in PDF, EPUB and Kindle. Most of the high-profile cases of real or perceived unethical activity in data science aren’t matters of bad intent. Rather, they occur because the ethics simply aren’t thought through well enough. Being ethical takes constant diligence, and in many situations identifying the right choice can be difficult. In this in-depth book, contributors from top companies in technology, finance, and other industries share experiences and lessons learned from collecting, managing, and analyzing data ethically. Data science professionals, managers, and tech leaders will gain a better understanding of ethics through powerful, real-world best practices. Articles include: Ethics Is Not a Binary Concept—Tim Wilson How to Approach Ethical Transparency—Rado Kotorov Unbiased ≠ Fair—Doug Hague Rules and Rationality—Christof Wolf Brenner The Truth About AI Bias—Cassie Kozyrkov Cautionary Ethics Tales—Sherrill Hayes Fairness in the Age of Algorithms—Anna Jacobson The Ethical Data Storyteller—Brent Dykes Introducing Ethicize™, the Fully AI-Driven Cloud-Based Ethics Solution!—Brian O’Neill Be Careful with "Decisions of the Heart"—Hugh Watson Understanding Passive Versus Proactive Ethics—Bill Schmarzo

Artificial Intelligence for a Better Future

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Release : 2021-03-17
Genre : Computers
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Book Rating : 781/5 ( reviews)

Artificial Intelligence for a Better Future - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Intelligence for a Better Future write by Bernd Carsten Stahl. This book was released on 2021-03-17. Artificial Intelligence for a Better Future available in PDF, EPUB and Kindle. This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place.

Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications

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Release : 2024
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Book Rating : 388/5 ( reviews)

Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications write by International Conference on Frontiers of AI, Ethics, and Multidisciplinary Applications. This book was released on 2024. Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications available in PDF, EPUB and Kindle. This groundbreaking proceedings volume explores the integration of Artificial Intelligence (AI) across key domains - healthcare, finance, education, robotics, industrial and other engineering applications - unveiling its transformative potential and practical implications. With a multidisciplinary lens, it transcends technical aspects, fostering a comprehensive understanding while bridging theory and practice. Approaching the subject matter with depth, the book combines theoretical foundations with realworld case studies, empowering researchers, professionals, and enthusiasts with the knowledge and tools to effectively harness AI. Encompassing diverse AI topics - machine learning, natural language processing, computer vision, data analytics and supervisory control - the volume showcases state-of-the-art techniques propelling AI advancements. Structured into four parts: Part 1: Artificial Intelligence (AI), explores evolving deep neural networks, reinforcement learning, and explainable AI, providing a deep dive into the technical foundations of AI advancements. Part 2: Robotics and Control Systems, delves into the integration of AI in robotics and automatic control, addressing supervisory control, automated robotic movement coordination, anomaly detection, dynamic programming, and fault tolerance, offering insights into the evolving landscape of intelligent automation. Part 3: AI and Society, examines the societal impact of AI through chapters on ethical considerations, economic growth, environmental engagements, and hazard management, providing a holistic perspective on AI's role in shaping society. Part 4: PhD Symposium, presents the future of AI through cutting-edge research, covering legal and ethical dimensions, privacy considerations, and computationally efficient solutions, offering a glimpse into the next generation of AI advancements. Catering to a diverse audience - from industry leaders to students - the volume consolidates the expertise of renowned professionals, serving as a comprehensive resource for navigating the everevolving AI landscape. An essential reference for those staying at the forefront of AI developments.

Exploring Youth Studies in the Age of AI

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Release : 2024-07-24
Genre : Computers
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Exploring Youth Studies in the Age of AI - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Exploring Youth Studies in the Age of AI write by Zaremohzzabieh, Zeinab. This book was released on 2024-07-24. Exploring Youth Studies in the Age of AI available in PDF, EPUB and Kindle. In an era defined by the relentless march of technology, the seamless integration of Artificial Intelligence (AI) into our daily lives has ushered in a transformative landscape. At the forefront of this evolution are the Digital Natives of Generation AI, navigating the complexities of a digital world where algorithms are integral to their daily experiences. This juncture presents a dual influence, marked by the continuous progression of technological advancements and the dynamic ways the youngest members of our society engage with and adapt to the digital environment. As we stand at the crossroads of youth studies and AI, there arises a pressing need to comprehend the profound impact of this convergence on the future leaders of our world. Addressing this imperative, Exploring Youth Studies in the Age of AI emerges as a comprehensive solution to unravel the complexities and opportunities within this evolving landscape. This book, meticulously crafted for academics, researchers, educators, policymakers, and technology ethicists, serves as a guiding beacon in understanding how AI shapes the experiences of today's youth and, in turn, how youth culture influences the development and application of AI technologies. With a collection of enlightening chapters covering topics from "Data-Driven Pedagogies" to "Ethical AI: Guiding Principles for Youth-Centric Development," the book delves deep into the diverse dimensions of this intersection, providing actionable insights and fostering a nuanced understanding for those invested in the ethical, social, and educational implications of AI within the context of youth.