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Exploring the Ethical Implications of Generative AI

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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

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Release : 2024-06-11
Genre : Computers
Kind : eBook
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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.

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

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Release : 2024-08-21
Genre : Computers
Kind : eBook
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Book Synopsis Generative AI and Implications for Ethics, Security, and Data Management by : Arokiaraj David

Download or read book Generative AI and Implications for Ethics, Security, and Data Management written by Arokiaraj David. 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.

AI Ethics: Navigating the Moral Implications of Artificial Intelligence

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Release : 2024-09-03
Genre : Computers
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Book Synopsis AI Ethics: Navigating the Moral Implications of Artificial Intelligence by : LucieArt

Download or read book AI Ethics: Navigating the Moral Implications of Artificial Intelligence written by LucieArt . This book was released on 2024-09-03. Available in PDF, EPUB and Kindle. Book excerpt: In "AI Ethics: Navigating the Moral Implications of Artificial Intelligence," discover a comprehensive guide to understanding the ethical challenges of AI technology. This practical book explores key principles of AI ethics, including fairness, transparency, and accountability, and offers practical strategies for addressing ethical dilemmas in AI development and deployment. From exploring bias and privacy concerns to examining the societal impact and sector-specific challenges, this guide provides valuable insights and actionable guidance for navigating the complex landscape of AI ethics. Whether you are a developer, policymaker, or simply interested in the ethical implications of AI, this book offers essential knowledge for ensuring responsible and equitable AI practices.

Creative AI Tools and Ethical Implications in Teaching and Learning

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Release : 2023-09-18
Genre : Education
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Book Synopsis Creative AI Tools and Ethical Implications in Teaching and Learning by : Keengwe, Jared

Download or read book Creative AI Tools and Ethical Implications in Teaching and Learning written by Keengwe, Jared. This book was released on 2023-09-18. Available in PDF, EPUB and Kindle. Book excerpt: As generative Artificial Intelligence (AI) tools become increasingly prevalent, it is crucial for educators to develop a nuanced understanding of the ethical implications associated with their use. Educators today face the critical task of navigating the pedagogical applications of AI and maximizing its potential to foster student learning. Creative AI Tools and Ethical Implications in Teaching and Learning is an insightful exploration of the ethical considerations surrounding the integration of AI in education. Educators may fear how it will rapidly transforming the educational landscape, but this book serves to support them and delves into the opportunities and challenges that arise when leveraging AI to enhance teaching and learning experiences. Creative AI Tools and Ethical Implications in Teaching and Learning goes beyond theory to offer practical strategies for integrating AI creatively into the classroom. From learning analytics and educational data mining to AI game activities and generative AI tools like ChatGPT, this book equips educators with the knowledge and resources to adapt AI technologies to support teaching and learning effectively. Moreover, the book explores the vital connection between AI and student assessment, highlighting how AI can enhance the evaluation process while maintaining fairness and objectivity. It concludes with an insightful glimpse into the future of AI in education, envisioning the transformative possibilities that lie ahead. This comprehensive guide provides educators, researchers, and policymakers with the tools they need to navigate the complexities of AI in education.

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