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The Ethical Frontier of AI and Data Analysis

2024-03-04 Computers
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Release : 2024-03-04
Genre : Computers
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Book Synopsis The Ethical Frontier of AI and Data Analysis by : Kumar, Rajeev

Download or read book The Ethical Frontier of AI and Data Analysis written by Kumar, Rajeev. This book was released on 2024-03-04. Available in PDF, EPUB and Kindle. Book excerpt: 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

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

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Book Synopsis 97 Things About Ethics Everyone in Data Science Should Know by : Bill Franks

Download or read book 97 Things About Ethics Everyone in Data Science Should Know written by Bill Franks. This book was released on 2020-08-06. Available in PDF, EPUB and Kindle. Book excerpt: 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

Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications

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

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Book Synopsis Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications by : International Conference on Frontiers of AI, Ethics, and Multidisciplinary Applications

Download or read book Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications written by International Conference on Frontiers of AI, Ethics, and Multidisciplinary Applications. This book was released on 2024. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Essential Information Systems Service Management

2024-09-27 Business & Economics
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Release : 2024-09-27
Genre : Business & Economics
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Book Synopsis Essential Information Systems Service Management by : Patel, Rahul K.

Download or read book Essential Information Systems Service Management written by Patel, Rahul K.. This book was released on 2024-09-27. Available in PDF, EPUB and Kindle. Book excerpt: As organizations navigate the complexities of modern information systems management (ISM), they face many challenges. Rapid technological advancements, changing workplace structures, and mainstreaming remote work have underscored the need for clear roles, responsibilities, and methods for interaction within ISM groups and with external stakeholders. This lack of clarity can lead to inefficiencies, inconsistencies, and even breakdowns in communication, hindering the organization's ability to manage its information systems effectively. Essential Information Systems Service Management serves as a comprehensive solution to the challenges of modern ISM. It uniquely compiles critical roles, responsibilities, workflows, processes, functions, and methods for successfully managing contemporary information systems. By providing a clear roadmap, this book empowers practitioners and students to navigate the evolving professional landscape confidently and competently, ensuring they can contribute effectively to their organizations.

Artificial Intelligence for a Better Future

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

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Book Synopsis Artificial Intelligence for a Better Future by : Bernd Carsten Stahl

Download or read book Artificial Intelligence for a Better Future written by Bernd Carsten Stahl. This book was released on 2021-03-17. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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