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Building trust in human-centric AI

Author: Pekka Ala-Pietilä

Publisher: HLEG AI

Published: 2019-04-08

Total Pages: 41

ISBN-13:

The Ethics Guidelines for Trustworthy Artificial Intelligence (AI) is a document prepared by the High-Level Expert Group on Artificial Intelligence (AI HLEG). This independent expert group was set up by the European Commission in June 2018, as part of the AI strategy announced earlier that year. The AI HLEG presented a first draft of the Guidelines in December 2018. Following further deliberations by the group in light of discussions on the European AI Alliance, a stakeholder consultation and meetings with representatives from Member States, the Guidelines were revised and published in April 2019.

Human-Centered AI

Author: Ben Shneiderman

Publisher: Oxford University Press

Published: 2022

Total Pages: 390

ISBN-13: 0192845292

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The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits those who build on their working methods by including HCAI strategies of design and testing. As many technology companies and thought leaders have argued, the goal is not to replace people, but to empower them by making design choices that give humans control over technology. In Human-Centered AI, Professor Ben Shneiderman offers an optimistic realist's guide to how artificial intelligence can be used to augment and enhance humans' lives. This project bridges the gap between ethical considerations and practical realities to offer a road map for successful, reliable systems. Digital cameras, communications services, and navigation apps are just the beginning. Shneiderman shows how future applications will support health and wellness, improve education, accelerate business, and connect people in reliable, safe, and trustworthy ways that respect human values, rights, justice, and dignity.

Radically Human

Author: Paul Daugherty

Publisher: Harvard Business Press

Published: 2022-04-26

Total Pages: 152

ISBN-13: 1647821096

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Technology advances are making tech more . . . human. This changes everything you thought you knew about innovation and strategy. In their groundbreaking book, Human + Machine, Accenture technology leaders Paul R. Daugherty and H. James Wilson showed how leading organizations use the power of human-machine collaboration to transform their processes and their bottom lines. Now, as new AI powered technologies like the metaverse, natural language processing, and digital twins begin to rapidly impact both life and work, those companies and other pioneers across industries are tipping the balance even more strikingly toward the human side with technology-led strategy that is reshaping the very nature of innovation. In Radically Human, Daugherty and Wilson show this profound shift, fast-forwarded by the pandemic, toward more human—and more humane—technology. Artificial intelligence is becoming less artificial and more intelligent. Instead of data-hungry approaches to AI, innovators are pursuing data-efficient approaches that enable machines to learn as humans do. Instead of replacing workers with machines, they're unleashing human expertise to create human-centered AI. In place of lumbering legacy IT systems, they're building cloud-first IT architectures able to continuously adapt to a world of billions of connected devices. And they're pursuing strategies that will take their place alongside classic, winning business formulas like disruptive innovation. These against-the-grain approaches to the basic building blocks of business—Intelligence, Data, Expertise, Architecture, and Strategy (IDEAS)—are transforming competition. Industrial giants and startups alike are drawing on this radically human IDEAS framework to create new business models, optimize post-pandemic approaches to work and talent, rebuild trust with their stakeholders, and show the way toward a sustainable future. With compelling insights and fresh examples from a variety of industries, Radically Human will forever change the way you think about, practice, and win with innovation.

EU Policy and Legal Framework for Artificial Intelligence, Robotics and Related Technologies - The AI Act

Author: Nikos Th. Nikolinakos

Publisher: Springer Nature

Published: 2023-07-06

Total Pages: 746

ISBN-13: 3031279530

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Artificial Intelligence (AI) can benefit our society and economy, but also brings with it new challenges and raises legal and ethical questions. According to the author of this comprehensive analysis, it is imperative to ensure that AI is developed and applied in an appropriate legal and regulatory framework that promotes innovation and investment and, at the same time, addresses the risks associated with certain uses of AI-related technologies. Essential to understanding the relationship between policy and law, this book traces the evolution of EU policy on artificial intelligence and robotics, focusing in particular on the EU’s ethical framework for AI, which defines trust as a prerequisite for ensuring a human-centric approach. The main part of the book provides a thorough and systematic analysis of the Commission’s 2021 proposed AI Act, which establishes harmonised rules for the development, placement on the market and use of AI systems in the EU. The author painstakingly compares the Commission’s proposed AI Act with the numerous “compromise” proposals of the Council of the European Union, leading to the final version of the Council’s AI Act (general approach) and its formal adoption on 6 December 2022. The author also examines with extraordinary detail the amendments proposed by the relevant committees and political groups of the European Parliament, revealing the position the Parliament is likely to adopt in the forthcoming negotiations with the Commission and the Council on the text of the AI Act. Numerous legislative and policy documents are presented in detail, while the analysis also considers the comments made by all interested parties (e.g. the European Commission, Council of the European Union, European Parliament, governmental organisations, national competent authorities, and stakeholders/actors with different/conflicting interests, such as corporations, business and consumer associations, civil society and other non-profit organisations). In the course of its in-depth analysis, this book will provide readers with crucial insight into the reasons behind the European Institutions’ different approaches and the often contradictory interests of stakeholders. Because the policy arguments are carefully balanced and drafted with scrupulous care, this volume will establish itself as a reference resource to be consulted for years to come.

Research Handbook on Corporate Liability

Author: Martin Petrin

Publisher: Edward Elgar Publishing

Published: 2023-08-14

Total Pages: 501

ISBN-13: 1800371284

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This Research Handbook considers many aspects of corporate liability, beginning with a fundamental explanation of what the company is, through depictions of corporate liability in theory, to the key areas of liability in practice. Interdisciplinary in nature, the contributions cover corporate and participant liability under statutory law, tort and criminal law, and corporate fiduciary and securities law. Specific perspectives include those on vicarious liability in tort and its application to corporations, and accountability for AI labour.

Machines We Trust

Author: Marcello Pelillo

Publisher: MIT Press

Published: 2021-08-24

Total Pages: 175

ISBN-13: 0262542099

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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.

Artificial Intelligence and Market Abuse Legislation

Author: Filippo Annunziata

Publisher: Edward Elgar Publishing

Published: 2023-11-03

Total Pages: 221

ISBN-13: 1035310724

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Artificial Intelligence and Market Abuse Legislation presents a wide-reaching interdisciplinary examination of the impact of AI on the EU Market Abuse Regulation (MAR).

Applied Mathematics, Modeling and Computer Simulation

Author: C.-H. Chen

Publisher: IOS Press

Published: 2024-01-19

Total Pages: 1266

ISBN-13: 1643684590

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Applied mathematics, modelling, and computer simulation are central to many aspects of engineering and computer science, and continue to be of intrinsic importance to the development of modern technologies. This book presents the proceedings of AMMCS 2023, the 3rd International Conference on Applied Mathematics, Modeling and Computer Simulation, held on 12 and 13 August 2023 in Wuhan, China. The conference provided an ideal opportunity for scholars and researchers to communicate important recent developments in their areas of specialization to their colleagues, and to scientists in related disciplines. More than 250 submissions were received for the conference, of which 133 were selected for presentation at the conference and inclusion here after a thorough peer-review process. These range from the theoretical and conceptual to strongly pragmatic papers addressing industrial best practice, and cover topics such as mathematical modeling and application; engineering applications and scientific computations; and the simulation of intelligent systems. The book explores practical experiences and enlightening ideas, and will be of interest to researchers, practitioners, and to all those working in the fields of applied mathematics, modeling and computer simulation.

Strands of Sustainability

Author: Gerard Magill

Publisher: Cambridge Scholars Publishing

Published: 2022-11-07

Total Pages: 347

ISBN-13: 1527589943

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This volume highlights emerging concerns and pivotal problems about our planet’s environment and ecology. The contributions gathered here highlight the importance of integrating expertise to foster strands of sustainability regarding artificial intelligence, education, health, biomedical engineering, and generational challenges. The book concludes with an ethical analysis of the multiple and over-lapping challenges that require urgent attention and long-term resolution. It will appeal to scholars and students in a variety of disciplines and fields that deal with sustainability.

Human-Centered AI at Work: Common Ground in Theories and Methods

Author: Annette Kluge

Publisher: Frontiers Media SA

Published: 2024-04-26

Total Pages: 137

ISBN-13: 2832548407

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Research can face artificial intelligence (AI) as an issue of technology development but also as an issue of enacted technology at work. Human-centered design of AI gives emphasis to the expertise and needs of human beings as a starting point of technology development or as an outcome of AI-based work settings. This is an important goal, as expressed, for example, by the international labor organization's call for a "human-centered agenda" for the future of AI and automation collaboration. This Research Topic raises the question of what human-centricity means, i.e. what are the criteria and indicators of human-centered AI and how can they be considered and implemented?