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AI Ethics

2020-04-07 Computers
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Release : 2020-04-07
Genre : Computers
Kind : eBook
Book Rating : 199/5 ( reviews)

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Book Synopsis AI Ethics by : Mark Coeckelbergh

Download or read book AI Ethics written by Mark Coeckelbergh. This book was released on 2020-04-07. Available in PDF, EPUB and Kindle. Book excerpt: This overview of the ethical issues raised by artificial intelligence moves beyond hype and nightmare scenarios to address concrete questions—offering a compelling, necessary read for our ChatGPT era. Artificial intelligence powers Google’s search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues. Written by a philosopher of technology, AI Ethics goes beyond the usual hype and nightmare scenarios to address concrete questions. Mark Coeckelbergh describes influential AI narratives, ranging from Frankenstein’s monster to transhumanism and the technological singularity. He surveys relevant philosophical discussions: questions about the fundamental differences between humans and machines and debates over the moral status of AI. He explains the technology of AI, describing different approaches and focusing on machine learning and data science. He offers an overview of important ethical issues, including privacy concerns, responsibility and the delegation of decision making, transparency, and bias as it arises at all stages of data science processes. He also considers the future of work in an AI economy. Finally, he analyzes a range of policy proposals and discusses challenges for policymakers. He argues for ethical practices that embed values in design, translate democratic values into practices and include a vision of the good life and the good society.

Exploring the Ethical Implications of Generative AI

2024-04-04 Computers
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Release : 2024-04-04
Genre : Computers
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Book Synopsis Exploring the Ethical Implications of Generative AI by : Ara, Aftab

Download or read book Exploring the Ethical Implications of Generative AI written by Ara, Aftab. This book was released on 2024-04-04. Available in PDF, EPUB and Kindle. Book excerpt: Generative Artificial Intelligence (AI), an ever-evolving technology, holds immense promise across various industries, from healthcare to content generation. However, its rapid advancement has also given rise to profound ethical concerns. Illicit black-market industries exploit generative AI for counterfeit imagery, and in educational settings, biases and misinformation perpetuate. These issues underscore the need to grapple with the risks accompanying generative AI integration. Exploring the Ethical Implications of Generative AI emerges as a wellspring of insight for discerning academic scholars. It sets the stage by acknowledging generative AI's multifaceted potential and its capacity to reshape industries. The book addresses these complex ethical concerns, offering a comprehensive analysis and providing a roadmap for responsible AI development and usage. Its intended audience spans business leaders, policymakers, scholars, and individuals passionate about the ethical dimensions of AI.

Generative AI Ethics

2024-06-11 Computers
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Release : 2024-06-11
Genre : Computers
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Book Synopsis Generative AI Ethics by : Anand Vemula

Download or read book Generative AI Ethics written by Anand Vemula. This book was released on 2024-06-11. Available in PDF, EPUB and Kindle. Book excerpt: Generative AI is rapidly transforming various sectors by creating text, images, and other media, posing significant ethical challenges. This book delves into the ethical implications of generative AI, offering a comprehensive overview of the core issues and potential solutions. Part I: Ethical Foundations explores fundamental ethical theories such as utilitarianism, deontology, and virtue ethics, providing a basis for understanding AI ethics. It also discusses frameworks for AI ethics, including ethical guidelines, regulatory frameworks, and stakeholder perspectives. Part II: Core Ethical Issues in Generative AI addresses key concerns like bias and fairness, transparency and explainability, privacy and data security, autonomy and control, and accountability and responsibility. Each chapter includes real-world examples, case studies, and practical mitigation strategies. Part III: Social and Societal Impacts examines the broader effects of generative AI on employment, societal perceptions, culture, and various industries such as healthcare, education, and the arts. It discusses automation, job displacement, reskilling, and the cultural impact of AI in media and entertainment. Part IV: Future Directions and Emerging Challenges focuses on advancing ethical AI research through interdisciplinary collaboration, open research, and transparency. It also looks at the global policy landscape, the role of international organizations, and future policy directions. The section addresses technological innovations in generative AI and their ethical implications, preparing for future scenarios and ensuring ethical preparedness. This book aims to equip readers with a deep understanding of the ethical challenges posed by generative AI and the tools to navigate these challenges responsibly. It combines theoretical insights with practical examples and case studies, making it a valuable resource for researchers, practitioners, policymakers, and anyone interested in the ethical dimensions of AI.

Trustworthy AI

2022-03-15 Computers
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Release : 2022-03-15
Genre : Computers
Kind : eBook
Book Rating : 959/5 ( reviews)

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Book Synopsis Trustworthy AI by : Beena Ammanath

Download or read book Trustworthy AI written by Beena Ammanath. This book was released on 2022-03-15. Available in PDF, EPUB and Kindle. Book excerpt: An essential resource on artificial intelligence ethics for business leaders In Trustworthy AI, award-winning executive Beena Ammanath offers a practical approach for enterprise leaders to manage business risk in a world where AI is everywhere by understanding the qualities of trustworthy AI and the essential considerations for its ethical use within the organization and in the marketplace. The author draws from her extensive experience across different industries and sectors in data, analytics and AI, the latest research and case studies, and the pressing questions and concerns business leaders have about the ethics of AI. Filled with deep insights and actionable steps for enabling trust across the entire AI lifecycle, the book presents: In-depth investigations of the key characteristics of trustworthy AI, including transparency, fairness, reliability, privacy, safety, robustness, and more A close look at the potential pitfalls, challenges, and stakeholder concerns that impact trust in AI application Best practices, mechanisms, and governance considerations for embedding AI ethics in business processes and decision making Written to inform executives, managers, and other business leaders, Trustworthy AI breaks new ground as an essential resource for all organizations using AI.

Generative AI and Implications for Ethics, Security, and Data Management

2024-08-21 Computers
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Release : 2024-08-21
Genre : Computers
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Book Synopsis Generative AI and Implications for Ethics, Security, and Data Management by : Gomathi Sankar, Jeganathan

Download or read book Generative AI and Implications for Ethics, Security, and Data Management written by Gomathi Sankar, Jeganathan. This book was released on 2024-08-21. Available in PDF, EPUB and Kindle. Book excerpt: As generative AI rapidly advances with the field of artificial intelligence, its presence poses significant ethical, security, and data management challenges. While this technology encourages innovation across various industries, ethical concerns regarding the potential misuse of AI-generated content for misinformation or manipulation may arise. The risks of AI-generated deepfakes and cyberattacks demand more research into effective security tactics. The supervision of datasets required to train generative AI models raises questions about privacy, consent, and responsible data management. As generative AI evolves, further research into the complex issues regarding its potential is required to safeguard ethical values and security of people’s data. Generative AI and Implications for Ethics, Security, and Data Management explores the implications of generative AI across various industries who may use the tool for improved organizational development. The security and data management benefits of generative AI are outlined, while examining the topic within the lens of ethical and social impacts. This book covers topics such as cybersecurity, digital technology, and cloud storage, and is a useful resource for computer engineers, IT professionals, technicians, sociologists, healthcare workers, researchers, scientists, and academicians.

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