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Towards Trustworthy Artificial Intelligent Systems


Towards Trustworthy Artificial Intelligent Systems
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Towards Trustworthy Artificial Intelligent Systems


Towards Trustworthy Artificial Intelligent Systems
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Author : Maria Isabel Aldinhas Ferreira
language : en
Publisher: Springer Nature
Release Date : 2022-09-07

Towards Trustworthy Artificial Intelligent Systems written by Maria Isabel Aldinhas Ferreira and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-07 with Technology & Engineering categories.


This present book provides valuable insights on the technical, societal and legal challenges posed by the use of artificial intelligent systems in a plethora of different applications, from embodied robotic systems to ML algorithms. Engaging with concerns about equity, privacy, surveillance and respect for human dignity, “Towards Trustworthy Artificial Intelligent Systems” highlights the fundamental factors on which stakeholders’ trust relies, identifying benchmarking, standardisation and certification as milestones grounding and consolidating that future trust. The multidisciplinary approach followed will make this book a valuable resource for all those involved in the production and deployment of AIs, as well as for academia and legal practitioners.



Toward Trustworthy Adaptive Learning


Toward Trustworthy Adaptive Learning
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Author : Bo Jiang
language : en
Publisher: Taylor & Francis
Release Date : 2025-03-31

Toward Trustworthy Adaptive Learning written by Bo Jiang and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-31 with Education categories.


This book offers an in-depth exploration of explainable learner models, presenting theoretical foundations and practical applications in the context of educational AI. It aims to provide readers with a comprehensive understanding of how these models can enhance adaptive learning systems. Chapters cover a wide range of topics, including the development and optimization of explainable learner models, the integration of these models into adaptive learning systems, and their implications for educational equity. It also discusses the latest advancements in AI explainability techniques, such as pre-hoc and post-hoc explainability, and their application in intelligent tutoring systems. Lastly, the book provides practical examples and case studies to illustrate how explainable learner models can be implemented in real-world educational settings. This book is an essential resource for researchers, educators, and practitioners interested in the intersection of AI and education. It offers valuable insights for those looking to integrate explainable AI into their educational practices, as well as for policymakers focused on promoting equitable and transparent learning environments.



Trustworthy Artificial Intelligence In Industry And Society


Trustworthy Artificial Intelligence In Industry And Society
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Author : Dimple Patil
language : en
Publisher: Deep Science Publishing
Release Date : 2024-10-17

Trustworthy Artificial Intelligence In Industry And Society written by Dimple Patil and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-17 with Computers categories.


Artificial Intelligence (AI) is evolving at an unprecedented rate, changing industries and reshaping social landscapes. However, the question still stands: how can we make sure that, even with this growth, AI stays ethical and trustworthy? In an effort to investigate this issue, the book Trustworthy Artificial Intelligence in Industry and Society provides a thorough analysis of AI's potential to promote resilience, accountability, and trust in a variety of contexts. Chapter 1 explores the essential need for transparent and interpretable AI systems, starting with the foundation of Explainable Artificial Intelligence (XAI) and laying the framework for fostering trust among users, stakeholders, and society at large. In Chapter 2, deep learning and machine learning are explored, along with their applications, methods, and implementation challenges. In Chapter 3, the book delves into the impact of artificial intelligence (AI) on Environmental, Social, and Governance (ESG) initiatives. It specifically highlights the applications of AI in the financial services and investment sectors. We look at the adoption and application of AI in the construction sector in Chapter 4, offering some insight into the drivers, patterns, and obstacles that will shape the technology's future. The use of AI to improve supply chain sustainability and revolutionize the transportation industry is covered in Chapters 5 and 6, with a focus on generative AI technologies and ethical issues. Chapter 7 explores how artificial intelligence is affecting customer relationship management, highlighting how sentiment analysis is transforming customer loyalty and experience. This book seeks to shed light on the opportunities and difficulties that artificial intelligence (AI) brings to business and society by exploring these areas.



Machines We Trust


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.



Artificial Intelligence Security And Safety


Artificial Intelligence Security And Safety
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Author : Binxing Fang
language : en
Publisher: Springer Nature
Release Date : 2025-08-30

Artificial Intelligence Security And Safety written by Binxing Fang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-30 with Computers categories.


This book proposes the architecture of artificial intelligence (AI) security and safety, discusses the topics about AI for security, AI security and AI safety, and makes an in-depth study on the ethical code of AI security and safety. Meanwhile, this book makes a detailed analysis of “artificial intelligence actant” (AIA) concept and its possible security problems, proposes the solutions for the AIA safely hoop, and provides the assessment and detection methods for AIA. Finally, this book discusses the AI cutting-edge technologies, as well as the future development trend of AI security and safety. This book is suitable for researchers, practitioners, regulators and enthusiasts in the field of AI, cyberspace security, etc.



Artificial Intelligence In Medicine


Artificial Intelligence In Medicine
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Author : Joseph Finkelstein
language : en
Publisher: Springer Nature
Release Date : 2024-07-26

Artificial Intelligence In Medicine written by Joseph Finkelstein and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-26 with Computers categories.


This two-volume set LNAI 14844-14845 constitutes the refereed proceedings of the 22nd International Conference on Artificial Intelligence in Medicine, AIME 2024, held in Salt Lake City, UT, USA, during July 9-12, 2024. The 54 full papers and 22 short papers presented in the book were carefully reviewed and selected from 335 submissions. The papers are grouped in the following topical sections: Part I: Predictive modelling and disease risk prediction; natural language processing; bioinformatics and omics; and wearable devices, sensors, and robotics. Part II: Medical imaging analysis; data integration and multimodal analysis; and explainable AI.



Tech Transformation And Ai Readiness


Tech Transformation And Ai Readiness
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Author : Abeba N. Turi
language : en
Publisher: Springer Nature
Release Date : 2025-02-14

Tech Transformation And Ai Readiness written by Abeba N. Turi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-14 with Business & Economics categories.


This book presents the trends of tech transformation and AI- readiness of emerging economies across regulatory, social, economic, and infrastructure layers. With the increased pace of urbanization, digital transformation, and proliferation of the algorithm economy, data and infrastructural readiness play vital roles in economic growth and development. By taking evidence (theoretical and empirical evidence) from selected emerging economies, this work intends to shed light on the developments and tech-readiness of these economies, focusing on AI solutions with the analysis of tech infrastructure and data readiness. Besides, it provides an in-depth presentation of empirical evidence on tech transformation and best practices with the constructs for AI tech readiness of emerging economies at national and institutional levels. The studies presented in this edited book will help to bridge the gap in the scanty literature about data, infrastructure, and AI readiness of emerging economies by looking into the challenges and opportunities. Major topics covered include AI solutions in Organizational value creation, green economy, sustainability, positive AI risk monitoring as a tech opportunity, assessment, mitigation, (renewable) energy generation, management and utilization, education, security, healthcare system, and more.



Producing Artificial Intelligent Systems


Producing Artificial Intelligent Systems
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Author : Maria Isabel Aldinhas Ferreira
language : en
Publisher: Springer Nature
Release Date : 2024-06-04

Producing Artificial Intelligent Systems written by Maria Isabel Aldinhas Ferreira and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-04 with Computers categories.


The fast development of intelligent technologies in the previous years, their boost during the COVID crisis, and their huge acceleration with the proliferation of the Large Language Models has led industry, governance, legislators and regulators to race to achieve production control, striving to define regional and global regulatory frameworks, capable of guaranteeing their safe deployment. In an evolving and uneven regulatory context, balancing fast technological development and the safe and ethical use of these new disruptive technologies, with an expected total economic impact of 4.4 trillion dollars annually, becomes presently the biggest challenge. The present book addresses the fundamental role played by the three milestones- Benchmarking, Standardization, and Certification that are part of the developmental loop of all products in developed economies. The essential role played by these milestones and the importance of defining accurate general and specific metrics is addressed in this book with particular case studies in the domains of Robotics and AI-



Artificial Intelligence Social Ethical And Legal Issues


Artificial Intelligence Social Ethical And Legal Issues
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Author :
language : en
Publisher: BoD – Books on Demand
Release Date : 2025-06-11

Artificial Intelligence Social Ethical And Legal Issues written by and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-11 with Computers categories.


Artificial Intelligence (AI) is the backbone of developing smart machines that slowly but steadily replace people's roles, hence probably becoming a threat to the existence of humanity. AI has been discussed globally as a technology that demonstrates enormous potential for improving society if it is developed and implemented properly. On the contrary, it will have a negative impact if it is not developed and implemented responsibly. This book presents the social, ethical, and legal issues of Artificial Intelligence. Various applications of Artificial Intelligence have been discussed, particularly in the fields of Medical Healthcare, Education, Libraries, Labor, Gender Equality, Private Businesses, and Government Operations. This book can help and support decisions for policymakers on crafting laws regarding Artificial Intelligence. High-risk AI systems must follow a strict set of requirements to be used in practice. The assessment of the trustworthiness and transparency of the developed AI-based system has also been discussed. Also included in this book is a detailed examination of case studies and theoretical approaches that offer practical insights on how AI can be harnessed to foster a balanced representation of genders, ultimately contributing to more equitable technological advancements. A critical analysis of the impact of AI on the digital and data divide is discussed. The book also investigates the directions and development of AI research in medicine over the next decade.



Eu Policy And Legal Framework For Artificial Intelligence Robotics And Related Technologies The Ai Act


Eu Policy And Legal Framework For Artificial Intelligence Robotics And Related Technologies The Ai Act
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Author : Nikos Th. Nikolinakos
language : en
Publisher: Springer Nature
Release Date : 2023-07-06

Eu Policy And Legal Framework For Artificial Intelligence Robotics And Related Technologies The Ai Act written by Nikos Th. Nikolinakos and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-06 with Law categories.


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.