Trustworthy Ai
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Trustworthy Ai
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Author : Beena Ammanath
language : en
Publisher: John Wiley & Sons
Release Date : 2022-03-22
Trustworthy Ai written by Beena Ammanath and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-22 with Computers categories.
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.
Responsible Ai
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Author : CSIRO
language : en
Publisher: Addison-Wesley Professional
Release Date : 2023-12-08
Responsible Ai written by CSIRO and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-08 with Computers categories.
THE FIRST PRACTICAL GUIDE FOR OPERATIONALIZING RESPONSIBLE AI ̃FROM MUL TI°LEVEL GOVERNANCE MECHANISMS TO CONCRETE DESIGN PATTERNS AND SOFTWARE ENGINEERING TECHNIQUES. AI is solving real-world challenges and transforming industries. Yet, there are serious concerns about its ability to behave and make decisions in a responsible way. Operationalizing responsible AI is about providing concrete guidelines to a wide range of decisionmakers and technologists on how to govern, design, and build responsible AI systems. These include governance mechanisms at the industry, organizational, and team level; software engineering best practices; architecture styles and design patterns; system-level techniques connecting code with data and models; and trade-offs in design decisions. Responsible AI includes a set of practices that technologists (for example, technology-conversant decision-makers, software developers, and AI practitioners) can undertake to ensure the AI systems they develop or adopt are trustworthy throughout the entire lifecycle and can be trusted by those who use them. The book offers guidelines and best practices not just for the AI part of a system, but also for the much larger software infrastructure that typically wraps around the AI. First book of its kind to cover the topic of operationalizing responsible AI from the perspective of the entire software development life cycle. Concrete and actionable guidelines throughout the lifecycle of AI systems, including governance mechanisms, process best practices, design patterns, and system engineering techniques. Authors are leading experts in the areas of responsible technology, AI engineering, and software engineering. Reduce the risks of AI adoption, accelerate AI adoption in responsible ways, and translate ethical principles into products, consultancy, and policy impact to support the AI industry. Online repository of patterns, techniques, examples, and playbooks kept up-to-date by the authors. Real world case studies to demonstrate responsible AI in practice. Chart the course to responsible AI excellence, from governance to design, with actionable insights and engineering prowess found in this defi nitive guide.
Trustworthy Ai
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Author : Murat Kuzlu
language : en
Publisher: Independently Published
Release Date : 2024-02-22
Trustworthy Ai written by Murat Kuzlu and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-22 with Computers categories.
This comprehensive book covers the concept of trustworthy AI, which is an essential paradigm in today's AI-based system. It is designed for developers, researchers, and end-users seeking a deep understanding of how AI systems are ethical, reliable, and equitable. The book begins by addressing the principles of trustworthy AI and their importance in high-risk applications like healthcare, finance, autonomous vehicles, and law. The core of this book is an exploration of the six principles of trustworthy AI, i.e. reliability, transparency, fairness, accountability, inclusiveness, privacy, and security. Each principle is thoroughly examined, demonstrating how they interact with AI systems to make them more efficient, and robust but also ethical, and equitable. This book explores the concept of transparency in depth, highlighting the necessity for AI systems to be understandable and accessible to all stakeholders. Fairness is examined as a critical aspect, focusing on designing and deploying AI systems that mitigate biases and offer equitable outcomes for all. It also covers AI systems' accountability, inclusiveness, privacy, and security. It is a big challenge to develop AI technologies that are advanced in capabilities and uphold the highest ethical standards, building trust among users and stakeholders. This book is written for anyone involved in AI development, deployment, and testing. It provides theoretical knowledge along with practical guidance. It serves as a comprehensive guide to transforming AI from a powerful tool into a force for good, aligning with human values and principles of fairness and transparency. As a result, readers will gain the knowledge and skill to create effective strategies for trustworthy AI, which is not just technologically advanced but also ethically and socially responsible.
The Assessment List For Trustworthy Artificial Intelligence Altai
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Author : Pekka Ala-Pietilä
language : en
Publisher: European Commission
Release Date : 2020-07-17
The Assessment List For Trustworthy Artificial Intelligence Altai written by Pekka Ala-Pietilä and has been published by European Commission this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-17 with Business & Economics categories.
On the 17 of July 2020, the High-Level Expert Group on Artificial Intelligence (AI HLEG) presented their final Assessment List for Trustworthy Artificial Intelligence. Following a piloting process where over 350 stakeholders participated, an earlier prototype of the list was revised and translated into a tool to support AI developers and deployers in developing Trustworthy AI. The tool supports the actionability the key requirements outlined by the Ethics Guidelines for Trustworthy Artificial Intelligence (AI), presented by the High-Level Expert Group on AI (AI HLEG) presented to the European Commission, in April 2019. The Ethics Guidelines introduced the concept of Trustworthy AI, based on seven key requirements: human agency and oversight technical robustness and safety privacy and data governance transparency diversity, non-discrimination and fairness environmental and societal well-being and accountability Through the Assessment List for Trustworthy AI (ALTAI), AI principles are translated into an accessible and dynamic checklist that guides developers and deployers of AI in implementing such principles in practice. ALTAI will help to ensure that users benefit from AI without being exposed to unnecessary risks by indicating a set of concrete steps for self-assessment. Download the Assessment List for Trustworthy Artificial Intelligence (ALTAI) (.pdf) The ALTAI is also available in a web-based tool version. More on the ALTAI web-based tool: https://futurium.ec.europa.eu/en/european-ai-alliance/pages/altai-assessment-list-trustworthy-artificial-intelligence
Trustworthy Ai Integrating Learning Optimization And Reasoning
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Author : Fredrik Heintz
language : en
Publisher: Springer Nature
Release Date : 2021-04-12
Trustworthy Ai Integrating Learning Optimization And Reasoning written by Fredrik Heintz and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-12 with Computers categories.
This book constitutes the thoroughly refereed conference proceedings of the First International Workshop on the Foundation of Trustworthy AI - Integrating Learning, Optimization and Reasoning, TAILOR 2020, held virtually in September 2020, associated with ECAI 2020, the 24th European Conference on Artificial Intelligence. The 11 revised full papers presented together with 6 short papers and 6 position papers were reviewed and selected from 52 submissions. The contributions address various issues for Trustworthiness, Learning, reasoning, and optimization, Deciding and Learning How to Act, AutoAI, and Reasoning and Learning in Social Contexts.
Unleashing The Power Of Data With Trusted Ai
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Author : Wendy Turner-Williams
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-04-02
Unleashing The Power Of Data With Trusted Ai written by Wendy Turner-Williams and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-02 with Computers categories.
Discover the transformative potential of AI for data-driven decision-making and fast-track your organization's growth journey with trusted AI implementation Key Features Gain comprehensive insights and analyses to make quick and accurate decisions Learn to integrate trusted AI into your organizational workflows and decision-making processes Explore real-world case studies that showcase the transformative impact of AI in diverse industries Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWritten by a distinguished leader and innovator who has been instrumental in spearheading digital, cloud, and AI transformations across global brands, Unleashing the Power of Data with Trusted AI is an indispensable resource that will make you AI-ready. This comprehensive guide is designed to meet the urgent need for clarity and to give you actionable insights into today's rapidly evolving landscape of AI and its fundamental driver - data. You’ll delve into the exciting world of AI and its integration with data, uncover its significance, ethical considerations, and strategic applications with real-life success stories from industry giants like Starbucks, Netflix, and Siemens. You’ll also witness first-hand how the integration of data and AI has reshaped markets and elevated customer experiences, and discover the future of generative AI based on several surveys and case studies. You’ll gain an understanding of how AI has evolved across industries, empowering decision-making and fostering innovation. Tailored for board members, executives, innovators, and tech enthusiasts, this immersive guide will reshape your understanding of data and AI synergy. By the end of this guide, you’ll be able to lead your teams, customers, partners, and organizations confidently and responsibly in the era of AI. What you will learn Navigate ethical considerations and comply with data regulations effectively Elevate data quality and enhance data literacy within your organization Craft effective AI strategies for data analytics processes Explore real-world case studies showcasing the tangible benefits of trusted AI Optimize decision-making processes by harnessing AI-driven insights Who this book is for This report is for executives and board members of mid to large enterprises, such as CDAIOs, CTOs, CIOs, CISOs, CPOs, and CEOs, as well as AI, data, ethics, privacy, and security professionals. With this book, you’ll confidently develop your data and AI implementation strategy and navigate the complex landscape of emerging technologies with clarity.
Machines We Trust
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Author : Marcello Pelillo
language : en
Publisher: MIT Press
Release Date : 2021-08-24
Machines We Trust written by Marcello Pelillo and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-24 with Computers categories.
Experts from disciplines that range from computer science to philosophy consider the challenges of building AI systems that humans can trust. Artificial intelligence-based algorithms now marshal an astonishing range of our daily activities, from driving a car ("turn left in 400 yards") to making a purchase ("products recommended for you"). How can we design AI technologies that humans can trust, especially in such areas of application as law enforcement and the recruitment and hiring process? In this volume, experts from a range of disciplines discuss the ethical and social implications of the proliferation of AI systems, considering bias, transparency, and other issues. The contributors, offering perspectives from computer science, engineering, law, and philosophy, first lay out the terms of the discussion, considering the "ethical debts" of AI systems, the evolution of the AI field, and the problems of trust and trustworthiness in the context of AI. They go on to discuss specific ethical issues and present case studies of such applications as medicine and robotics, inviting us to shift the focus from the perspective of a "human-centered AI" to that of an "AI-decentered humanity." Finally, they consider the future of AI, arguing that, as we move toward a hybrid society of cohabiting humans and machines, AI technologies can become humanity's allies.
Trustworthy Ai Alone Is Not Enough
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Author : Aniceto Pérez y Madrid
language : en
Publisher: ESIC
Release Date : 2023-10-03
Trustworthy Ai Alone Is Not Enough written by Aniceto Pérez y Madrid and has been published by ESIC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-03 with Law categories.
Trustworthy Ai In Medical Imaging
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Author : Marco Lorenzi
language : en
Publisher: Academic Press
Release Date : 2024-12-01
Trustworthy Ai In Medical Imaging written by Marco Lorenzi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-01 with Computers categories.
Trustworthy AI in Medical Imaging brings together scientific researchers, medical experts, and industry partners working in the field of trustworthiness, bridging the gap between AI research and concrete medical applications and making it a learning resource for undergraduates, masters students, and researchers in AI for medical imaging applications. The book will help readers acquire the basic notions of AI trustworthiness and understand its concrete application in medical imaging, identify pain points and solutions to enhance trustworthiness in medical imaging applications, understand current limitations and perspectives of trustworthy AI in medical imaging, and identify novel research directions. Although the problem of trustworthiness in AI is actively researched in different disciplines, the adoption and implementation of trustworthy AI principles in real-world scenarios is still at its infancy. This is particularly true in medical imaging where guidelines and standards for trustworthiness are critical for the successful deployment in clinical practice. After setting out the technical and clinical challenges of AI trustworthiness, the book gives a concise overview of the basic concepts before presenting state-of-the-art methods for solving these challenges.
Trustworthy Artificial Intelligence Implementation
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Author : Josef Baker-Brunnbauer
language : en
Publisher: Springer Nature
Release Date : 2022-11-22
Trustworthy Artificial Intelligence Implementation written by Josef Baker-Brunnbauer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-22 with Business & Economics categories.
Rapidly developing Artificial Intelligence (AI) systems hold tremendous potential to change various domains and exert considerable influence on societies and organizations alike. More than merely a technical discipline, AI requires interaction between various professions. Based on the results of fundamental literature and empirical research, this book addresses the management’s awareness of the ethical and moral aspects of AI. It seeks to fill a literature gap and offer the management guidance on tackling Trustworthy AI Implementation (TAII) while also considering ethical dependencies within the company. The TAII Framework introduced here pursues a holistic approach to identifying systemic ethical relationships within the company ecosystem and considers corporate values, business models, and common goods aspects like the Sustainable Development Goals and the Universal Declaration of Human Rights. Further, it provides guidance on the implementation of AI ethics in organisations without requiring a deeper background in philosophy and considers the social impacts outside of the software and data engineering setting. Depending on the respective legal context or area of application, the TAII Framework can be adapted and used with a range of regulations and ethical principles. This book can serve as a case study or self-review for c-level managers and students who are interested in this field. It also offers valuable guidelines and perspectives for policymakers looking to pursue an ethical approach to AI.