Xxai Beyond Explainable Ai

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XxAI - Beyond Explainable AI

Andreas Holzinger,Randy Goebel,Ruth Fong,Taesup Moon,Klaus-Robert Müller,Wojciech Samek
XxAI Beyond Explainable AI Book PDF

Author : Andreas Holzinger,Randy Goebel,Ruth Fong,Taesup Moon,Klaus-Robert Müller,Wojciech Samek
Publisher : Springer Nature
Page : 397 pages
File Size : 53,6 Mb
Release : 2022
Category : Artificial intelligence
ISBN : 9783031040832

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XxAI - Beyond Explainable AI by Andreas Holzinger,Randy Goebel,Ruth Fong,Taesup Moon,Klaus-Robert Müller,Wojciech Samek Pdf

This is an open access book. Statistical machine learning (ML) has triggered a renaissance of artificial intelligence (AI). While the most successful ML models, including Deep Neural Networks (DNN), have developed better predictivity, they have become increasingly complex, at the expense of human interpretability (correlation vs. causality). The field of explainable AI (xAI) has emerged with the goal of creating tools and models that are both predictive and interpretable and understandable for humans. Explainable AI is receiving huge interest in the machine learning and AI research communities, across academia, industry, and government, and there is now an excellent opportunity to push towards successful explainable AI applications. This volume will help the research community to accelerate this process, to promote a more systematic use of explainable AI to improve models in diverse applications, and ultimately to better understand how current explainable AI methods need to be improved and what kind of theory of explainable AI is needed. After overviews of current methods and challenges, the editors include chapters that describe new developments in explainable AI. The contributions are from leading researchers in the field, drawn from both academia and industry, and many of the chapters take a clear interdisciplinary approach to problem-solving. The concepts discussed include explainability, causability, and AI interfaces with humans, and the applications include image processing, natural language, law, fairness, and climate science.

Explainable Artificial Intelligence (XAI) in Healthcare

Utku Kose,Nilgun Sengoz,Xi Chen,Jose Antonio Marmolejo Saucedo
Explainable Artificial Intelligence XAI in Healthcare Book PDF

Author : Utku Kose,Nilgun Sengoz,Xi Chen,Jose Antonio Marmolejo Saucedo
Publisher : CRC Press
Page : 251 pages
File Size : 54,9 Mb
Release : 2024-04-23
Category : Medical
ISBN : 9781040020456

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Explainable Artificial Intelligence (XAI) in Healthcare by Utku Kose,Nilgun Sengoz,Xi Chen,Jose Antonio Marmolejo Saucedo Pdf

This book highlights the use of explainable artificial intelligence (XAI) for healthcare problems, in order to improve trustworthiness, performance and sustainability levels in the context of applications. Explainable Artificial Intelligence (XAI) in Healthcare adopts the understanding that AI solutions should not only have high accuracy performance, but also be transparent, understandable and reliable from the end user's perspective. The book discusses the techniques, frameworks, and tools to effectively implement XAI methodologies in critical problems of healthcare field. The authors offer different types of solutions, evaluation methods and metrics for XAI and reveal how the concept of explainability finds a response in target problem coverage. The authors examine the use of XAI in disease diagnosis, medical imaging, health tourism, precision medicine and even drug discovery. They also point out the importance of user perspectives and value of the data used in target problems. Finally, the authors also ensure a well-defined future perspective for advancing XAI in terms of healthcare. This book will offer great benefits to students at the undergraduate and graduate levels and researchers. The book will also be useful for industry professionals and clinicians who perform critical decision-making tasks.

Explainable AI for Cybersecurity

Zhixin Pan,Prabhat Mishra
Explainable AI for Cybersecurity Book PDF

Author : Zhixin Pan,Prabhat Mishra
Publisher : Springer Nature
Page : 249 pages
File Size : 51,5 Mb
Release : 2024-01-13
Category : Technology & Engineering
ISBN : 9783031464799

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Explainable AI for Cybersecurity by Zhixin Pan,Prabhat Mishra Pdf

This book provides a comprehensive overview of security vulnerabilities and state-of-the-art countermeasures using explainable artificial intelligence (AI). Specifically, it describes how explainable AI can be effectively used for detection and mitigation of hardware vulnerabilities (e.g., hardware Trojans) as well as software attacks (e.g., malware and ransomware). It provides insights into the security threats towards machine learning models and presents effective countermeasures. It also explores hardware acceleration of explainable AI algorithms. The reader will be able to comprehend a complete picture of cybersecurity challenges and how to detect them using explainable AI. This book serves as a single source of reference for students, researchers, engineers, and practitioners for designing secure and trustworthy systems.

Explainable AI: Interpreting, Explaining and Visualizing Deep Learning

Wojciech Samek,Grégoire Montavon,Andrea Vedaldi,Lars Kai Hansen,Klaus-Robert Müller
Explainable AI Interpreting Explaining and Visualizing Deep Learning Book PDF

Author : Wojciech Samek,Grégoire Montavon,Andrea Vedaldi,Lars Kai Hansen,Klaus-Robert Müller
Publisher : Springer
Page : 439 pages
File Size : 53,6 Mb
Release : 2019-08-30
Category : Computers
ISBN : 3030289532

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Explainable AI: Interpreting, Explaining and Visualizing Deep Learning by Wojciech Samek,Grégoire Montavon,Andrea Vedaldi,Lars Kai Hansen,Klaus-Robert Müller Pdf

The development of “intelligent” systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to “intelligent” machines. For sensitive tasks involving critical infrastructures and affecting human well-being or health, it is crucial to limit the possibility of improper, non-robust and unsafe decisions and actions. Before deploying an AI system, we see a strong need to validate its behavior, and thus establish guarantees that it will continue to perform as expected when deployed in a real-world environment. In pursuit of that objective, ways for humans to verify the agreement between the AI decision structure and their own ground-truth knowledge have been explored. Explainable AI (XAI) has developed as a subfield of AI, focused on exposing complex AI models to humans in a systematic and interpretable manner. The 22 chapters included in this book provide a timely snapshot of algorithms, theory, and applications of interpretable and explainable AI and AI techniques that have been proposed recently reflecting the current discourse in this field and providing directions of future development. The book is organized in six parts: towards AI transparency; methods for interpreting AI systems; explaining the decisions of AI systems; evaluating interpretability and explanations; applications of explainable AI; and software for explainable AI.

Advances in Explainable AI Applications for Smart Cities

Ghonge, Mangesh M.,Pradeep, Nijalingappa,Jhanjhi, Noor Zaman,Kulkarni, Praveen M.
Advances in Explainable AI Applications for Smart Cities Book PDF

Author : Ghonge, Mangesh M.,Pradeep, Nijalingappa,Jhanjhi, Noor Zaman,Kulkarni, Praveen M.
Publisher : IGI Global
Page : 523 pages
File Size : 43,7 Mb
Release : 2024-01-18
Category : Computers
ISBN : 9781668463635

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Advances in Explainable AI Applications for Smart Cities by Ghonge, Mangesh M.,Pradeep, Nijalingappa,Jhanjhi, Noor Zaman,Kulkarni, Praveen M. Pdf

As smart cities become more prevalent, the need for explainable AI (XAI) applications has become increasingly important. Advances in Explainable AI Applications for Smart Cities is a co-edited book that showcases the latest research and development in XAI for smart city applications. This book covers a wide range of topics, including medical diagnosis, finance and banking, judicial systems, military training, manufacturing industries, autonomous vehicles, insurance claim management, and cybersecurity solutions. Through its diverse case studies and research, this book provides valuable insights into the importance of XAI in smart city applications. This book is an essential resource for undergraduate and postgraduate students, researchers, academicians, industry professionals, and scientists working in research laboratories. It provides a comprehensive overview of XAI concepts, advantages over AI, and its applications in smart city development. By showcasing the impact of XAI on various smart city applications, the book enables readers to understand the importance of XAI in creating more sustainable and efficient smart cities. Additionally, the book addresses the open challenges and research issues related to XAI in modern smart cities, providing a roadmap for future research in this field. Overall, this book is a valuable resource for anyone interested in understanding the importance of XAI in smart city applications.

Explainable Deep Learning AI

Jenny Benois-Pineau,Romain Bourqui,Dragutin Petkovic,Georges Quenot
Explainable Deep Learning AI Book PDF

Author : Jenny Benois-Pineau,Romain Bourqui,Dragutin Petkovic,Georges Quenot
Publisher : Elsevier
Page : 348 pages
File Size : 47,8 Mb
Release : 2023-02-20
Category : Computers
ISBN : 9780323993883

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Explainable Deep Learning AI by Jenny Benois-Pineau,Romain Bourqui,Dragutin Petkovic,Georges Quenot Pdf

Explainable Deep Learning AI: Methods and Challenges presents the latest works of leading researchers in the XAI area, offering an overview of the XAI area, along with several novel technical methods and applications that address explainability challenges for deep learning AI systems. The book overviews XAI and then covers a number of specific technical works and approaches for deep learning, ranging from general XAI methods to specific XAI applications, and finally, with user-oriented evaluation approaches. It also explores the main categories of explainable AI – deep learning, which become the necessary condition in various applications of artificial intelligence. The groups of methods such as back-propagation and perturbation-based methods are explained, and the application to various kinds of data classification are presented. Provides an overview of main approaches to Explainable Artificial Intelligence (XAI) in the Deep Learning realm, including the most popular techniques and their use, concluding with challenges and exciting future directions of XAI Explores the latest developments in general XAI methods for Deep Learning Explains how XAI for Deep Learning is applied to various domains like images, medicine and natural language processing Provides an overview of how XAI systems are tested and evaluated, specially with real users, a critical need in XAI

Digital Technologies and Public Procurement

Albert Sanchez-Graells
Digital Technologies and Public Procurement Book PDF

Author : Albert Sanchez-Graells
Publisher : Oxford University Press
Page : 488 pages
File Size : 50,8 Mb
Release : 2024-01-10
Category : Law
ISBN : 9780192636607

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Digital Technologies and Public Procurement by Albert Sanchez-Graells Pdf

The digital transformation of the public sector has accelerated. States are experimenting with technology, seeking more streamlined and efficient digital government and public services. However, there are significant concerns about the risks and harms to individual and collective rights under new modes of digital public governance. Several jurisdictions are attempting to regulate digital technologies, especially artificial intelligence, however regulatory effort primarily concentrates on technology use by companies, not by governments. The regulatory gap underpinning public sector digitalisation is growing. As it controls the acquisition of digital technologies, public procurement has emerged as a 'regulatory fix' to govern public sector digitalisation. It seeks to ensure through its contracts that public sector digitalisation is trustworthy, ethical, responsible, transparent, fair, and (cyber) safe. However, in Digital Technologies and Public Procurement: Gatekeeping and Experimentation in Digital Public Governance, Albert Sanchez-Graells argues that procurement cannot perform this gatekeeping role effectively. Through a detailed case study of procurement digitalisation as a site of unregulated technological experimentation, he demonstrates that relying on 'regulation by contract' creates a false sense of security in governing the transition towards digital public governance. This leaves the public sector exposed to the 'policy irresistibility' that surrounds hyped digital technologies. Bringing together insights from political economy, public policy, science, technology, and legal scholarship, this thought-provoking book proposes an alternative regulatory approach and contributes to broader debates of digital constitutionalism and digital technology regulation.

Research and Innovation Forum 2023

Anna Visvizi,Orlando Troisi,Vincenzo Corvello
Research and Innovation Forum 2023 Book PDF

Author : Anna Visvizi,Orlando Troisi,Vincenzo Corvello
Publisher : Springer Nature
Page : 798 pages
File Size : 42,7 Mb
Release : 2024-01-01
Category : Computers
ISBN : 9783031447211

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Research and Innovation Forum 2023 by Anna Visvizi,Orlando Troisi,Vincenzo Corvello Pdf

This book features research presented and discussed during the Research & Innovation Forum (Rii Forum) 2023. As such, this book offers a unique insight into emerging topics, issues and developments pertinent to the fields of technology, innovation and education and their social impact. Papers included in this book apply inter- and multi-disciplinary approaches to query such issues as technology-enhanced teaching and learning, smart cities, information systems, cognitive computing and social networking. What brings these threads of the discussion together is the question of how advances in computer science—which are otherwise largely incomprehensible to researchers from other fields—can be effectively translated and capitalized on so as to make them beneficial for society as a whole. In this context, Rii Forum and Rii Forum proceedings offer an essential venue where diverse stakeholders, including academics, the think tank sector and decision-makers, can engage in a meaningful dialogue with a view to improving the applicability of advances in computer science.

Digitalisation, Sustainability, and the Banking and Capital Markets Union

Lukas Böffel,Jonas Schürger
Digitalisation Sustainability and the Banking and Capital Markets Union Book PDF

Author : Lukas Böffel,Jonas Schürger
Publisher : Springer Nature
Page : 439 pages
File Size : 46,5 Mb
Release : 2022-12-30
Category : Business & Economics
ISBN : 9783031170775

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Digitalisation, Sustainability, and the Banking and Capital Markets Union by Lukas Böffel,Jonas Schürger Pdf

This book covers three topics that have dominated financial market regulation and supervision debates: digital finance, sustainable finance, and the Banking and Capital Markets Union. Within the first part, seven chapters will tackle specific questions arising in digital finance, including but not limited to artificial intelligence, tokenisation, and international regulatory cooperation in digital financial services. The second part addresses one of humanity’s most pressing issues today: the climate crisis. The quest for sustainable finance is driven by political actors and a common understanding that climate change is a severe threat. As financial institutions are a cornerstone of human interaction, they are in the regulatory spotlight. The chapters explore sustainability in EU banking and insurance regulation, the interrelationship between systemic risk and sustainability, and the ‘greening’ of EU monetary policy. The third part analyses two projects that have led to huge structural changes in the European financial market architecture over the last decade: the European Banking Union and Capital Markets Union. This transformation has raised numerous legal questions that can only gradually be answered in all their intricacies. In four chapters, this book examines composite procedures, property rights of depositors in banking resolution, preemptive financing arrangements and the phenomenon of subsidiarisation in the context of Brexit. Of interest to academics, policymakers, practitioners, and students in the field of EU financial regulation, banking law, securities law, and regulatory law, this book offers a compilation of analyses on pressing banking and capital markets law problems.

Handbook of Geospatial Artificial Intelligence

Song Gao,Yingjie Hu,Wenwen Li
Handbook of Geospatial Artificial Intelligence Book PDF

Author : Song Gao,Yingjie Hu,Wenwen Li
Publisher : CRC Press
Page : 469 pages
File Size : 53,8 Mb
Release : 2023-12-29
Category : Technology & Engineering
ISBN : 9781003814924

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Handbook of Geospatial Artificial Intelligence by Song Gao,Yingjie Hu,Wenwen Li Pdf

This comprehensive handbook covers Geospatial Artificial Intelligence (GeoAI), which is the integration of geospatial studies and AI machine (deep) learning and knowledge graph technologies. It explains key fundamental concepts, methods, models, and technologies of GeoAI, and discusses the recent advances, research tools, and applications that range from environmental observation and social sensing to natural disaster responses. As the first single volume on this fast-emerging domain, Handbook of Geospatial Artificial Intelligence is an excellent resource for educators, students, researchers, and practitioners utilizing GeoAI in fields such as information science, environment and natural resources, geosciences, and geography. Features Provides systematic introductions and discussions of GeoAI theory, methods, technologies, applications, and future perspectives Covers a wide range of GeoAI applications and case studies in practice Offers supplementary materials such as data, programming code, tools, and case studies Discusses the recent developments of GeoAI methods and tools Includes contributions written by top experts in cutting-edge GeoAI topics This book is intended for upper-level undergraduate and graduate students from different disciplines and those taking GIS courses in geography or computer sciences as well as software engineers, geospatial industry engineers, GIS professionals in non-governmental organizations, and federal/state agencies who use GIS and want to learn more about GeoAI advances and applications.

Advances in Information and Communication

Kohei Arai
Advances in Information and Communication Book PDF

Author : Kohei Arai
Publisher : Springer Nature
Page : 927 pages
File Size : 41,7 Mb
Release : 2023-03-01
Category : Technology & Engineering
ISBN : 9783031280733

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Advances in Information and Communication by Kohei Arai Pdf

This book gathers the proceedings of the eighth Future of Information and Computing Conference, which was held successfully in virtual mode. It received a total of 369 paper submissions from renowned and budding scholars, academics, and distinguished members of the industry. The topics fanned across various fields involving computing, Internet of Things, data science, and artificial intelligence. Learned scholars from all walks of life assembled under one roof to share their unique, original, and breakthrough researches and paved a new technological path for the world. Many of the studies seek to change the face of the world itself. Their innovative thinking indeed aims to solve several gruesome problems in the field of communication, data science, ambient intelligence, networking, computing, security, and privacy. The authors have strived to render valuable pieces of study in this edition and hope to acquire enthusiastic support from the readers.

Algorithms, Humans, and Interactions

Don Donghee Shin
Algorithms Humans and Interactions Book PDF

Author : Don Donghee Shin
Publisher : Taylor & Francis
Page : 177 pages
File Size : 55,7 Mb
Release : 2023-01-31
Category : Computers
ISBN : 9781000825381

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Algorithms, Humans, and Interactions by Don Donghee Shin Pdf

Amidst the rampant use of algorithmization enabled by AI, the common theme of AI systems is the human factor. Humans play an essential role in designing, developing, and operationalizing AI systems. We have a remit to ensure those systems run transparently, perform equitably, value our privacy, and effectively fulfill human needs. This book takes an interdisciplinary approach to contribute to the ongoing development of human–AI interaction with a particular focus on the "human" dimension and provides insights to improve the design of AI that could be genuinely beneficial and effectively used in society. The readers of this book will benefit by gaining insights into various perspectives about how AI has impacted people and society and how it will do so in the future, and understanding how we can design algorithm systems that are beneficial, legitimate, usable by humans, and designed considering and respecting human values. This book provides a horizontal set of guidelines and insight into how humans can be empowered by making choices about AI designs that allow them meaningful control over AI. Designing meaningful AI experiences has garnered great attention to address responsibility gaps and mitigate them by establishing conditions that enable the proper attribution of responsibility to humans. This book helps us understand the possibilities of what AI systems can do and how they can and should be integrated into our society.

Information Modelling and Knowledge Bases XXXV

M. Tropmann-Frick,H. Jaakkola,B. Thalheim
Information Modelling and Knowledge Bases XXXV Book PDF

Author : M. Tropmann-Frick,H. Jaakkola,B. Thalheim
Publisher : IOS Press
Page : 342 pages
File Size : 46,5 Mb
Release : 2024-02
Category : Computers
ISBN : 9781643684772

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Information Modelling and Knowledge Bases XXXV by M. Tropmann-Frick,H. Jaakkola,B. Thalheim Pdf

The volume and complexity of information, together with the number of abstraction levels and the size of data and knowledge bases, grow continually. Data originating from diverse sources involves a combination of data from traditional legacy sources and unstructured data requiring backwards modeling, meanwhile, information modeling and knowledge bases have become important contributors to 21st-century academic and industrial research. This book presents the proceedings of EJC 2023, the 33rd International Conference on Information Modeling and Knowledge Bases, held from 5 to 9 June 2023 in Maribor, Slovenia. The aim of the EJC conferences is to bring together experts from different areas of computer science and from other disciplines that share the common interest of understanding and solving the problems of information modeling and knowledge bases and applying the results of research to practice. The conference constitutes a research forum for the exchange of results and experiences by academics and practitioners dealing with information and knowledge bases. The topics covered at EJC 2023 encompass a wide range of themes including conceptual modeling; knowledge and information modeling and discovery; linguistic modeling; cross-cultural communication and social computing; environmental modeling and engineering; and multimedia data modeling and systems. In the spirit of adapting to the changes taking place in these areas of research, the conference was also open to new topics related to its main themes. Providing a current overview of progress in the field, this book will be of interest to all those whose work involves the use of information modeling and knowledge bases.

Artificial Intelligence and Normative Challenges

Angelos Kornilakis,Georgios Nouskalis,Vassilis Pergantis,Themistoklis Tzimas
Artificial Intelligence and Normative Challenges Book PDF

Author : Angelos Kornilakis,Georgios Nouskalis,Vassilis Pergantis,Themistoklis Tzimas
Publisher : Springer Nature
Page : 274 pages
File Size : 50,6 Mb
Release : 2023-11-20
Category : Law
ISBN : 9783031410819

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Artificial Intelligence and Normative Challenges by Angelos Kornilakis,Georgios Nouskalis,Vassilis Pergantis,Themistoklis Tzimas Pdf

Artificial intelligence (AI) – both in its current, comparatively limited form and even more so in its potential future forms (such as general and superintelligence) – has raised both concerns and hopes. Its actual and potential consequences are increasingly far-reaching, affecting almost every facet of human life on a collective and individual level: from the use of mobile phones and social media to autonomous weapons, and from the digitalization of knowledge and information to the patentability of AI innovations, unexpected philosophical, ontological, political and legal questions continue to arise.This book offers an insightful and essential guide to the scientific questions that are shaping humanity’s present and future. Presenting a collection of academic essays written by prominent scholars, it addresses the major legal issues concerning AI: its impact on a wide range of human behavior and the general legal response, including questions on AI and legal personhood; responsibility, liability and culpability in the age of AI; the challenges AI poses for intellectual property regimes; human rights challenges; and AI’s impact on jus ad bellum and jus in bello.Given its scope, the book will appeal to researchers, scholars and practitioners seeking a guide to this rapidly transforming landscape.

Soft Computing in Data Science

Marina Yusoff,Tao Hai,Murizah Kassim,Azlinah Mohamed,Eisuke Kita
Soft Computing in Data Science Book PDF

Author : Marina Yusoff,Tao Hai,Murizah Kassim,Azlinah Mohamed,Eisuke Kita
Publisher : Springer Nature
Page : 313 pages
File Size : 46,8 Mb
Release : 2023-03-16
Category : Computers
ISBN : 9789819904051

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Soft Computing in Data Science by Marina Yusoff,Tao Hai,Murizah Kassim,Azlinah Mohamed,Eisuke Kita Pdf

This book constitutes the refereed proceedings of the 7th International Conference on Soft Computing in Data Science, SCDS 2023, which was held virtually in January 2023. The 21 revised full papers presented were carefully reviewed and selected from 61 submissions. The papers are organized in topical sections on ​​​artificial intelligence techniques and applications; computing and optimization; data analytics and technologies; data mining and image processing; mathematical and statistical learning.