Mastering AI ethics

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Author :
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 149 pages
Book Rating : 4.8/5 (549 download)

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Book Synopsis Mastering AI ethics by : Cybellium Ltd

Download or read book Mastering AI ethics written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-05 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an era shaped by the rapid evolution of artificial intelligence, grappling with the ethical dimensions of AI technologies has become an imperative. "Mastering AI Ethics" is a groundbreaking guide that delves deep into the complexities of AI ethics, equipping readers with the insights required to navigate the ethical challenges posed by AI innovations. About the Book: In this thought-provoking book, readers are invited to explore the intricate web of ethical considerations surrounding AI development, deployment, and societal impact. With real-world examples, case studies, and actionable frameworks, "Mastering AI Ethics" empowers readers to make informed decisions and contribute to a future where AI serves the greater good. Key Features: Foundations of Ethical AI: The book lays a strong foundation by demystifying the core concepts that underpin AI ethics. Readers will develop a clear understanding of how ethical considerations intersect with AI technologies and why these intersections are crucial. Tackling Complex Ethical Dilemmas: Through a series of real-world scenarios, readers will grapple with intricate ethical dilemmas presented by AI. The book guides readers in analyzing and evaluating these scenarios, enabling them to cultivate the critical thinking skills needed to confront ethical challenges head-on. Frameworks for Ethical Decision-Making: "Mastering AI Ethics" introduces readers to practical frameworks and models designed to facilitate ethical decision-making in AI contexts. These frameworks empower readers to weigh conflicting interests, anticipate potential harms, and arrive at ethically sound solutions. Promoting Transparency and Accountability: The book delves into the concepts of transparency and accountability in AI development and deployment. Readers will discover how to foster transparency, hold AI systems accountable, and ensure responsible use of AI technologies. Societal Implications of AI: By examining broader societal implications, the book explores how AI influences areas such as privacy, bias, fairness, and social justice. Readers will gain insights into how AI technologies can amplify existing inequalities and how to design AI systems that mitigate these effects. Collaborative Ethical Practices: "Mastering AI Ethics" underscores the significance of collaborative efforts in shaping AI ethics. Readers will learn how interdisciplinary collaboration involving ethicists, technologists, policymakers, and stakeholders can drive more ethical AI development and deployment. Exploring Future Ethical Challenges: As AI continues to evolve, so do its ethical considerations. The book provides a forward-looking perspective on emerging trends in AI ethics, from the ethical implications of AI in healthcare to the challenges posed by autonomous systems and AI-driven decision-making. Who Should Read This Book: "Mastering AI Ethics" is an indispensable resource for AI practitioners, data scientists, ethicists, policymakers, and anyone concerned with the ethical implications of AI technologies. Whether you're an AI researcher aiming to integrate ethics into your work, a business leader exploring responsible AI implementation, or a curious citizen intrigued by AI's impact on society, this book equips you with the tools to engage in meaningful discussions and drive ethical change in the AI landscape.

Ethical Machine Learning and Artificial Intelligence (AI)

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Author :
Publisher : Frontiers Media SA
ISBN 13 : 2889712826
Total Pages : 85 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Ethical Machine Learning and Artificial Intelligence (AI) by : Novi Quadrianto

Download or read book Ethical Machine Learning and Artificial Intelligence (AI) written by Novi Quadrianto and published by Frontiers Media SA. This book was released on 2021-12-02 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Taming the Machine

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Author :
Publisher : Kogan Page Publishers
ISBN 13 : 1398614335
Total Pages : 337 pages
Book Rating : 4.3/5 (986 download)

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Book Synopsis Taming the Machine by : Nell Watson

Download or read book Taming the Machine written by Nell Watson and published by Kogan Page Publishers. This book was released on 2024-05-03 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI promises to transform our world, supercharging productivity and driving new innovations. Taming the Machine uncovers how you can responsibly harness the power of AI with confidence. AI has the potential to become a personal assistant, a creative partner, an editor and a research tool all at once. But it also represents a threat to your livelihood, data and privacy. Taming the Machine offers the practical insights and knowledge you need to work with AI with an ethical and responsible approach. In this book, celebrated AI expert and ethicist Nell Watson offers practical insights on how you can ethically innovate with AI. It delves into the ethical issues of unbridled AI, highlighting the challenges that it will bring to society and business unless we fortify cybersecurity, safeguard our data, and understand the dangerous potential of artificial intelligence. Step into the future and supercharge your performance safely by Taming the Machine.

Creative AI Tools and Ethical Implications in Teaching and Learning

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Author :
Publisher : IGI Global
ISBN 13 :
Total Pages : 305 pages
Book Rating : 4.3/5 (693 download)

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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 and published by IGI Global. This book was released on 2023-09-18 with total page 305 pages. 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.

The Moral Code of Machines

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Author :
Publisher : Daniel Zaborowski
ISBN 13 :
Total Pages : 62 pages
Book Rating : 4.2/5 (224 download)

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Book Synopsis The Moral Code of Machines by : Daniel Zaborowski

Download or read book The Moral Code of Machines written by Daniel Zaborowski and published by Daniel Zaborowski. This book was released on with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The Moral Code of Machines: Exploring Ethics in AI and Machine Learning" is a comprehensive exploration of the ethical considerations that arise in the development, deployment, and governance of AI and machine learning technologies. The book is divided into ten parts, each containing four subsections that examine different aspects of AI ethics, including AI development, deployment, and governance, as well as the impact of AI on privacy, healthcare, entertainment, and the workplace. The book also explores emerging ethical challenges in AI, the need for ongoing ethical evaluation, and the role of interdisciplinary collaboration in AI ethics. Ultimately, the book emphasizes the importance of ongoing dialogue about AI ethics and the need for a global framework for AI ethics that prioritizes transparency, accountability, and fairness in the development and use of these technologies.

The Oxford Handbook of Ethics of AI

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Author :
Publisher : Oxford University Press
ISBN 13 : 0190067403
Total Pages : 1000 pages
Book Rating : 4.1/5 (9 download)

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Book Synopsis The Oxford Handbook of Ethics of AI by : Markus D. Dubber

Download or read book The Oxford Handbook of Ethics of AI written by Markus D. Dubber and published by Oxford University Press. This book was released on 2020-06-30 with total page 1000 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches. The term "A.I." is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm. This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today-in everyday medical practice, for instance-to reflections on the (potential) status of AI as a form of consciousness with attendant rights and duties and, more generally still, on the conceptual terms and frameworks necessarily to understand tasks requiring intelligence, whether "human" or "A.I."

The Ethics of Artificial Intelligence in Education

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Author :
Publisher : Taylor & Francis
ISBN 13 : 1000620700
Total Pages : 238 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis The Ethics of Artificial Intelligence in Education by : Wayne Holmes

Download or read book The Ethics of Artificial Intelligence in Education written by Wayne Holmes and published by Taylor & Francis. This book was released on 2022-08-11 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Ethics of Artificial Intelligence in Education identifies and confronts key ethical issues generated over years of AI research, development, and deployment in learning contexts. Adaptive, automated, and data-driven education systems are increasingly being implemented in universities, schools, and corporate training worldwide, but the ethical consequences of engaging with these technologies remain unexplored. Featuring expert perspectives from inside and outside the AIED scholarly community, this book provides AI researchers, learning scientists, educational technologists, and others with questions, frameworks, guidelines, policies, and regulations to ensure the positive impact of artificial intelligence in learning.

Ethics of Artificial Intelligence

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Author :
Publisher : Oxford University Press, USA
ISBN 13 : 0190905034
Total Pages : 545 pages
Book Rating : 4.1/5 (99 download)

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Book Synopsis Ethics of Artificial Intelligence by : S. Matthew Liao

Download or read book Ethics of Artificial Intelligence written by S. Matthew Liao and published by Oxford University Press, USA. This book was released on 2020 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: Should a self-driving car prioritize the lives of the passengers over the lives of pedestrians? Should we as a society develop autonomous weapon systems that are capable of identifying and attacking a target without human intervention? What happens when AIs become smarter and more capable than us? Could they have greater than human moral status? Can we prevent superintelligent AIs from harming us or causing our extinction? At a critical time in this fast-moving debate, thirty leading academics and researchers at the forefront of AI technology development come together to explore these existential questions, including Aaron James (UC Irvine), Allan Dafoe (Oxford), Andrea Loreggia (Padova), Andrew Critch (UC Berkeley), Azim Shariff (Univ. .

Trustworthy AI

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119867959
Total Pages : 230 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Trustworthy AI by : Beena Ammanath

Download or read book Trustworthy AI written by Beena Ammanath and published by John Wiley & Sons. This book was released on 2022-03-15 with total page 230 pages. 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.

Principles of Artificial Intelligence Ethics

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Author :
Publisher : PND Publishers
ISBN 13 :
Total Pages : 187 pages
Book Rating : 4.3/5 (742 download)

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Book Synopsis Principles of Artificial Intelligence Ethics by : Dr.S.Suresh Kumar

Download or read book Principles of Artificial Intelligence Ethics written by Dr.S.Suresh Kumar and published by PND Publishers. This book was released on 2023-05-02 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) is a rapidly advancing field that has captured the attention of researchers, businesses, and the public. AI has the potential to revolutionize various industries and transform the way we live, work, and communicate. However, it also poses ethical challenges that must be addressed to ensure its development and deployment align with our values and principles. This book aims to provide an in-depth understanding of AI, its history and evolution, its benefits and challenges, and its ethical implications. Chapter 1 lays the foundation by introducing the concept of AI, its types, and applications, as well as its benefits and challenges. Chapter 2 explores the ethical considerations of AI, including its impact on society, healthcare, education, transportation, customer service, cybersecurity, gaming, business, law, blockchain, search engines, and big data analytics. It also discusses the importance of ethical considerations in the development and deployment of AI. This book is intended for students, researchers, practitioners, policymakers, and anyone interested in gaining a comprehensive understanding of AI and its ethical implications. It is our hope that this book will contribute to a thoughtful and responsible development of AI that reflects our shared values and aspirations.

Mastering hacking with AI

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Author :
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 95 pages
Book Rating : 4.3/5 (999 download)

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Book Synopsis Mastering hacking with AI by : Kris Hermans

Download or read book Mastering hacking with AI written by Kris Hermans and published by Cybellium Ltd. This book was released on with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the rapidly evolving world of cybersecurity, the intersection of hacking and artificial intelligence (AI) has become an arena of immense potential. "Mastering Hacking with AI" by Kris Hermans is your comprehensive guide to harnessing the power of AI for ethical hacking purposes. This groundbreaking book takes you on a transformative journey, equipping you with the knowledge and skills to master the fusion of hacking and AI. Inside this groundbreaking book, you will: Explore the core principles of hacking and AI, including machine learning techniques, natural language processing, anomaly detection, and adversarial attacks, enabling you to develop advanced hacking strategies. Gain hands-on experience through real-world examples, step-by-step tutorials, and AI-driven tools, allowing you to apply AI techniques to identify vulnerabilities, automate penetration testing, and enhance threat intelligence. Understand the ethical implications of AI-driven hacking and learn how to responsibly use AI for cybersecurity purposes, adhering to legal and ethical frameworks. Stay ahead of the curve with discussions on emerging trends in AI and their impact on cybersecurity, such as AI-powered defences, deepfake detection, and autonomous threat hunting.

Mastering Robot dynamics

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Author :
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 302 pages
Book Rating : 4.8/5 (668 download)

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Book Synopsis Mastering Robot dynamics by : Cybellium Ltd

Download or read book Mastering Robot dynamics written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Embark on an Enlightening Journey to "Mastering Robot Dynamics" In a world driven by automation and robotics, mastering the intricacies of robot dynamics is pivotal for creating advanced robotic systems that move with precision and intelligence. "Mastering Robot Dynamics" is your ultimate guide to navigating the complex world of robot motion, control, and manipulation. Whether you're an engineer, researcher, robotics enthusiast, or student, this book equips you with the knowledge and skills needed to excel in designing and controlling sophisticated robotic mechanisms. About the Book: "Mastering Robot Dynamics" takes you on a transformative journey through the intricacies of robot motion and control, from foundational concepts to advanced techniques. From kinematics and dynamics to trajectory planning and real-time control, this book covers it all. Each chapter is meticulously designed to provide both a deep understanding of the principles and practical applications in real-world robotic scenarios. Key Features: · Foundational Understanding: Build a solid foundation by comprehending the core principles of robot dynamics, including kinematics, inertia, and motion equations. · Robot Kinematics: Explore forward and inverse kinematics, understanding how robots move and calculating joint configurations. · Robot Dynamics: Dive into the study of forces, torques, and motion equations, learning how robots interact with their environments. · Trajectory Planning: Master the art of planning robot paths and trajectories, considering constraints and optimizing motion sequences. · Sensors and Perception: Gain insights into sensor integration, perception systems, and how robots interact with the world through feedback. · Motion Control: Learn about different types of control strategies, from PID control to advanced techniques like model predictive control. · Collision Avoidance: Understand methods for detecting and avoiding collisions, ensuring safety and reliability in robot operations. · Robot Manipulation: Explore techniques for manipulating objects, including grasp planning, manipulation tasks, and robotic arms. · Challenges and Trends: Discover challenges in robot dynamics, from sensor noise to complex control algorithms, and explore emerging trends shaping the future of robotics. Who This Book Is For: "Mastering Robot Dynamics" is designed for engineers, researchers, robotics enthusiasts, students, and anyone passionate about robotics. Whether you're aiming to enhance your skills or embark on a journey toward becoming a robotics expert, this book provides the insights and tools to navigate the complexities of designing and controlling robotic systems. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

AI for the Good

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Author :
Publisher : Springer Nature
ISBN 13 : 3030669130
Total Pages : 259 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis AI for the Good by : Stefan H. Vieweg

Download or read book AI for the Good written by Stefan H. Vieweg and published by Springer Nature. This book was released on 2021-04-24 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: While technology advances at a high pace in the age of machine learning, there is a lack of clear intent and framing of acceptable ethical standards. This book brings together the complex topic of "good" technology in a cross-functional way, alternating between theory and practice.The authors address the ever-expanding discussion on Artificial Intelligence (AI) and ethics by providing an orientation. Pragmatic and recent issues are especially taken into account such as the collateral effects of the COVID19 pandemic. An up-to-date overview of digitization - already a very broad field in itself - is presented along with an analysis of the approaches of AI from an ethical perspective. Furthermore, concrete approaches to consider appropriate ethical principles in AI-based solutions are offered. The book will be appealing to academics, from humanities or business or technical disciplines, as well as practitioners who are looking for an introduction to the topic and an orientation with concrete questions and assistance.

AI and Algorithms

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Author :
Publisher :
ISBN 13 : 9789083095776
Total Pages : 0 pages
Book Rating : 4.0/5 (957 download)

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Book Synopsis AI and Algorithms by : Arnoud Engelfriet

Download or read book AI and Algorithms written by Arnoud Engelfriet and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Mastering AI model training

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Author :
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 272 pages
Book Rating : 4.8/5 (549 download)

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Book Synopsis Mastering AI model training by : Cybellium Ltd

Download or read book Mastering AI model training written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-05 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you ready to take your AI training skills to the next level? In "Mastering AI Model Training" by Kris Hermans, you'll embark on a transformative journey that will empower you to train highly accurate and efficient artificial intelligence models. Uncover Advanced Techniques and Best Practices As AI continues to revolutionize industries, the ability to train powerful and optimized models is paramount. In this comprehensive guide, Kris Hermans reveals the secrets to mastering AI model training. Explore advanced techniques, cutting-edge algorithms, and industry best practices that will propel your AI training expertise to new heights. Become an Expert in Training AI Models Whether you're a seasoned data scientist or a passionate AI enthusiast, this book provides a structured approach to mastering AI model training. Kris Hermans demystifies complex concepts and presents them in a clear and practical manner. Through real-world examples and hands-on exercises, you'll develop the skills and intuition necessary to train AI models that achieve exceptional performance. From Fundamentals to Advanced Topics "Mastering AI Model Training" covers the full spectrum of AI training, starting from the basics of data preprocessing and feature engineering and progressing to advanced topics such as transfer learning, hyperparameter optimization, and model compression. Gain a deep understanding of different training algorithms and architectures, and learn how to adapt them to various domains and use cases. Optimize Training for Performance and Efficiency Discover strategies for improving model performance, reducing training time, and optimizing resource utilization. Explore techniques for handling large datasets, distributed training, and leveraging hardware accelerators such as GPUs and TPUs. With Kris Hermans as your guide, you'll learn how to train models that deliver superior results while maximizing computational efficiency. Practical Applications and Real-World Case Studies Immerse yourself in practical applications of AI model training across industries such as healthcare, finance, manufacturing, and more. Dive into captivating case studies that demonstrate how AI training is transforming businesses and driving innovation. Gain insights into the challenges faced by organizations and learn how they leverage AI training techniques to gain a competitive edge. Ethical Considerations and Responsible AI With great power comes great responsibility. "Mastering AI Model Training" addresses the ethical considerations associated with AI training and highlights the importance of responsible AI practices. Learn how to mitigate biases, ensure fairness, and navigate ethical challenges to build AI models that are not only accurate and efficient but also ethical and trustworthy.

AI Ethics

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Author :
Publisher : MIT Press
ISBN 13 : 0262357070
Total Pages : 250 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis AI Ethics by : Mark Coeckelbergh

Download or read book AI Ethics written by Mark Coeckelbergh and published by MIT Press. This book was released on 2020-02-05 with total page 250 pages. 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.

Mastering Artificial Intelligence In Legal Practice

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Author :
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.3/5 (223 download)

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Book Synopsis Mastering Artificial Intelligence In Legal Practice by : Ronald Cook

Download or read book Mastering Artificial Intelligence In Legal Practice written by Ronald Cook and published by Independently Published. This book was released on 2024-04-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an era where artificial intelligence (AI) is rapidly reshaping industries, the legal profession stands on the precipice of a monumental transformation. "Mastering AI in Legal Practice: A Comprehensive Guide" emerges as an essential tome for legal professionals eager to harness the revolutionary power of AI, including cutting-edge tools like ChatGPT, to enhance their practice, optimize workflows, and deliver unparalleled client service. This meticulously crafted guide is tailored specifically for attorneys, combining deep insights into AI technologies with practical applications in the legal field. It serves not only as an introduction to the fundamentals of AI but as a deep dive into its implications for legal ethics, confidentiality, document drafting, litigation strategies, and beyond. Each chapter is designed to equip legal professionals with the knowledge and skills needed to navigate the complexities of AI integration, ensuring they remain at the forefront of legal innovation. The book's compelling narrative underscores the urgency for continuous learning in a landscape where AI evolves at breakneck speed. It highlights the imperative for legal practitioners to not only understand the current capabilities of AI but to anticipate future developments. Through a blend of theoretical knowledge and practical strategies, the guide offers a roadmap for attorneys to stay informed, adaptable, and competitive in an increasingly digital world. "Mastering AI in Legal Practice: A Comprehensive Guide" distinguishes itself by addressing the unique ethical considerations and compliance issues that arise with AI usage in legal settings. It navigates the nuanced terrain of client confidentiality, data privacy, and the potential biases inherent in AI, providing clear guidelines for ethical AI deployment. This focus ensures that attorneys can leverage AI's benefits while upholding the highest standards of professional integrity. Moreover, the book provides an extensive overview of Continuing Legal Education (CLE) programs, vendor-specific training, and self-directed learning opportunities. It encourages engagement with bar association AI committees and highlights the importance of fostering a culture of innovation within legal practices. These resources not only aid in mastering AI but also in cultivating a forward-thinking approach that anticipates the legal industry's future needs. For any lawyer looking to elevate their practice, navigate the future of law, and lead with confidence in the age of AI, this guide is an indispensable resource. Whether you're a seasoned attorney or new to the field, "Mastering AI in Legal Practice: A Comprehensive Guide" will empower you to make informed decisions, optimize your practice with AI, and deliver superior legal services in an ever-evolving digital landscape. Embrace the future of legal practice with AI. Purchase your copy today and embark on a journey to mastering artificial intelligence in law, ensuring your practice not only survives but thrives in the digital age.