Ai Assurance Towards Trustworthy Explainable Safe And Ethical Ai
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AI Assurance
- Author : Feras A. Batarseh,Laura Freeman
- Publisher : Academic Press
- Release Date : 2022-10-28
- Total pages : 602
- ISBN : 9780323918824
- File Size : 20,9 Mb
- Total Download : 674
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AI Assurance: Towards Trustworthy, Explainable, Safe, and Ethical AI provides readers with solutions and a foundational understanding of the methods that can be applied to test AI systems and provide assurance. Anyone developing software systems with intelligence, building learning algorithms, or deploying AI to a domain-specific problem (such as allocating cyber breaches, analyzing causation at a smart farm, reducing readmissions at a hospital, ensuring soldiers’ safety in the battlefield, or predicting exports of one country to another) will benefit from the methods presented in this book. As AI assurance is now a major piece in AI and engineering research, this book will serve as a guide for researchers, scientists and students in their studies and experimentation. Moreover, as AI is being increasingly discussed and utilized at government and policymaking venues, the assurance of AI systems—as presented in this book—is at the nexus of such debates. Provides readers with an in-depth understanding of how to develop and apply Artificial Intelligence in a valid, explainable, fair and ethical manner Includes various AI methods, including Deep Learning, Machine Learning, Reinforcement Learning, Computer Vision, Agent-Based Systems, Natural Language Processing, Text Mining, Predictive Analytics, Prescriptive Analytics, Knowledge-Based Systems, and Evolutionary Algorithms Presents techniques for efficient and secure development of intelligent systems in a variety of domains, such as healthcare, cybersecurity, government, energy, education, and more Covers complete example datasets that are associated with the methods and algorithms developed in the book
Cyberbiosecurity
- Author : Dov Greenbaum
- Publisher : Springer Nature
- Release Date : 2023-06-10
- Total pages : 308
- ISBN : 9783031260346
- File Size : 9,7 Mb
- Total Download : 621
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Biocybersecurity applies cybersecurity research to the field of biology, and, to a lesser degree, applies biological principles to the field of cybersecurity. As biologists increasingly research, collaborate, and conduct research online, biocybersecurity has become crucial to protect against cyber threats. This book provides an overview of biocybersecurity through the lens of researchers in academia, industry professionals, and government, in both biology and cybersecurity fields. The book highlights emerging technologies, and identifies emerging threats connected with these technologies, while also providing a discussion of the legal implications involved. This book takes on a multidisciplinary approach, and appeals to both professionals and researchers in the synthetic biology, bioinformatics, and cybersecurity fields.
Data Management, Analytics and Innovation
- Author : Saptarsi Goswami,Inderjit Singh Barara,Amol Goje,C. Mohan,Alfred M. Bruckstein
- Publisher : Springer Nature
- Release Date : 2022-09-21
- Total pages : 717
- ISBN : 9789811926006
- File Size : 25,5 Mb
- Total Download : 520
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This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Sixth International Conference on Data Management, Analytics and Innovation (ICDMAI 2022), held virtually during January 14–16, 2022. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
Regulating Artificial Intelligence
- Author : Dominika Ewa Harasimiuk,Tomasz Braun
- Publisher : Routledge
- Release Date : 2021-02-05
- Total pages : 188
- ISBN : 9781000320398
- File Size : 49,8 Mb
- Total Download : 210
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Exploring potential scenarios of artificial intelligence regulation which prevent automated reality harming individual human rights or social values, this book reviews current debates surrounding AI regulation in the context of the emerging risks and accountabilities. Considering varying regulatory methodologies, it focuses mostly on EU’s regulation in light of the comprehensive policy making process taking place at the supranational level. Taking an ethics and humancentric approach towards artificial intelligence as the bedrock of future laws in this field, it analyses the relations between fundamental rights impacted by the development of artificial intelligence and ethical standards governing it. It contains a detailed and critical analysis of the EU’s Ethic Guidelines for Trustworthy AI, pointing at its practical applicability by the interested parties. Attempting to identify the most transparent and efficient regulatory tools that can assure social trust towards AI technologies, the book provides an overview of horizontal and sectoral regulatory approaches, as well as legally binding measures stemming from industries’ self-regulations and internal policies.
Human-Centered Aerospace Systems and Sustainability Applications
- Author : Pedro Arezes and Susana Costa
- Publisher : AHFE International
- Release Date : 2022-07-24
- Total pages : 52
- ISBN : 9781958651025
- File Size : 50,8 Mb
- Total Download : 985
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Human-Centered Aerospace Systems and Sustainability Applications Proceedings of the 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022), July 24–28, 2022, New York, USA
Machine Learning and Knowledge Extraction
- Author : Andreas Holzinger,Peter Kieseberg,A Min Tjoa,Edgar Weippl
- Publisher : Springer Nature
- Release Date : 2021-08-11
- Total pages : 365
- ISBN : 9783030840600
- File Size : 15,9 Mb
- Total Download : 563
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This book constitutes the refereed proceedings of the 5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2021, held in virtually in August 2021. The 20 full papers and 2 short papers presented were carefully reviewed and selected from 48 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity.
Trustworthy AI
- Author : Beena Ammanath
- Publisher : John Wiley & Sons
- Release Date : 2022-03-22
- Total pages : 230
- ISBN : 9781119867920
- File Size : 22,8 Mb
- Total Download : 673
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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.
Trustworthy AI
- Author : Beena Ammanath
- Publisher : John Wiley & Sons
- Release Date : 2022-03-15
- Total pages : 224
- ISBN : 9781119867951
- File Size : 39,6 Mb
- Total Download : 773
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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.
Humanity Driven AI
- Author : Fang Chen,Jianlong Zhou
- Publisher : Springer Nature
- Release Date : 2022-01-02
- Total pages : 330
- ISBN : 9783030721886
- File Size : 9,6 Mb
- Total Download : 339
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Artificial Intelligence (AI) is changing the world around us, and it is changing the way people are living, working, and entertaining. As a result, demands for understanding how AI functions to achieve and enhance human goals from basic needs to high level well-being (whilst maintaining human health) are increasing. This edited book systematically investigates how AI facilitates enhancing human needs in the digital age, and reports on the state-of-the-art advances in theories, techniques, and applications of humanity driven AI. Consisting of five parts, it covers the fundamentals of AI and humanity, AI for productivity, AI for well-being, AI for sustainability, and human-AI partnership. Humanity Driven AI creates an important opportunity to not only promote AI techniques from a humanity perspective, but also to invent novel AI applications to benefit humanity. It aims to serve as the dedicated source for the theories, methodologies, and applications on humanity driven AI, establishing state-of-the-art research, and providing a ground-breaking book for graduate students, research professionals, and AI practitioners.
The AI Wave in Defence Innovation
- Author : Michael Raska,Richard A. Bitzinger
- Publisher : Taylor & Francis
- Release Date : 2023-04-21
- Total pages : 250
- ISBN : 9781000875010
- File Size : 28,7 Mb
- Total Download : 948
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An international and interdisciplinary perspective on the adoption and governance of artificial intelligence (AI) and machine learning (ML) in defence and military innovation by major and middle powers. Advancements in AI and ML pose pressing questions related to evolving conceptions of military power, compliance with international humanitarian law, peace promotion, strategic stability, arms control, future operational environments, and technology races. To navigate the breadth of this AI and international security agenda, the contributors to this book include experts on AI, technology governance, and defence innovation to assess military AI strategic perspectives from major and middle AI powers alike. These include views of how the United States, China, Japan, South Korea, the European Union, and Russia see AI/ML as a technology with the potential to reshape military affairs and power structures in the broader international system. This diverse set of views aims to help elucidate key similarities and differences between AI powers in the evolving strategic context. A valuable read for scholars of security studies, public policy, and STS studies with an interest in the impacts of AI and ML technologies.
ECIAIR 2019 European Conference on the Impact of Artificial Intelligence and Robotics
- Author : Dr Paul Griffiths ,Dr. Mitt Nowshade Kabir
- Publisher : Academic Conferences and publishing limited
- Release Date : 2019-10-31
- Total pages : 229
- ISBN : 9781912764440
- File Size : 44,5 Mb
- Total Download : 214
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PDF book entitled ECIAIR 2019 European Conference on the Impact of Artificial Intelligence and Robotics written by Dr Paul Griffiths ,Dr. Mitt Nowshade Kabir and published by Academic Conferences and publishing limited which was released on 2019-10-31 with total hardcover pages 229, the book become popular and critical acclaim.
Applications of statistical methods and machine learning in the space sciences
- Author : Bala Poduval,Karly Pitman,Olga Verkhoglyadova,Peter Wintoft
- Publisher : Frontiers Media SA
- Release Date : 2023-04-12
- Total pages : 203
- ISBN : 9782832520581
- File Size : 49,5 Mb
- Total Download : 371
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PDF book entitled Applications of statistical methods and machine learning in the space sciences written by Bala Poduval,Karly Pitman,Olga Verkhoglyadova,Peter Wintoft and published by Frontiers Media SA which was released on 2023-04-12 with total hardcover pages 203, the book become popular and critical acclaim.
Data Democracy
- Author : Feras A. Batarseh,Ruixin Yang
- Publisher : Academic Press
- Release Date : 2020-01-28
- Total pages : 266
- ISBN : 0128183667
- File Size : 25,5 Mb
- Total Download : 872
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This book provides a manifesto to data democracy. After reading the chapters of this book, you are informed and suitably warned! You are already part of the data republic, and you (and all of us) need to ensure that our data fall in the right hands. Everything you click, buy, swipe, try, sell, drive, or fly is a data point. But who owns the data? At this point, not you! You do not even have access to most of it. The next best empire of our planet is one who owns and controls the world's best dataset. If you consume or create data, if you are a citizen of the data republic (willingly or grudgingly), and if you are interested in making a decision or finding the truth through data-driven analysis, this book is for you. A group of experts, academics, data science researchers, and industry practitioners gathered to write this manifesto about data democracy. - The future of the data republic, life within a data democracy, and our digital freedoms. - An in-depth analysis of open science, open data, open source software, and their future challenges. - A comprehensive review of data democracy's implications within domains such as: healthcare, space exploration, earth sciences, business, and psychology. - The democratization of Artificial Intelligence (AI), and data issues such as: bias, imbalance, context, and knowledge extraction. - A systematic review of AI methods applied to software engineering problems.
Federal Data Science
- Author : Feras A. Batarseh,Ruixin Yang
- Publisher : Academic Press
- Release Date : 2017-09-21
- Total pages : 256
- ISBN : 9780128124444
- File Size : 38,9 Mb
- Total Download : 427
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Federal Data Science serves as a guide for federal software engineers, government analysts, economists, researchers, data scientists, and engineering managers in deploying data analytics methods to governmental processes. Driven by open government (2009) and big data (2012) initiatives, federal agencies have a serious need to implement intelligent data management methods, share their data, and deploy advanced analytics to their processes. Using federal data for reactive decision making is not sufficient anymore, intelligent data systems allow for proactive activities that lead to benefits such as: improved citizen services, higher accountability, reduced delivery inefficiencies, lower costs, enhanced national insights, and better policy making. No other government-dedicated work has been found in literature that addresses this broad topic. This book provides multiple use-cases, describes federal data science benefits, and fills the gap in this critical and timely area. Written and reviewed by academics, industry experts, and federal analysts, the problems and challenges of developing data systems for government agencies is presented by actual developers, designers, and users of those systems, providing a unique and valuable real-world perspective. Offers a range of data science models, engineering tools, and federal use-cases Provides foundational observations into government data resources and requirements Introduces experiences and examples of data openness from the US and other countries A step-by-step guide for the conversion of government towards data-driven policy making Focuses on presenting data models that work within the constraints of the US government Presents the why, the what, and the how of injecting AI into federal culture and software systems
Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification
- Author : Simon Collart-Dutilleul,Anne E. Haxthausen,Thierry Lecomte
- Publisher : Springer Nature
- Release Date : 2022-05-19
- Total pages : 245
- ISBN : 9783031058141
- File Size : 37,7 Mb
- Total Download : 138
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This book constitutes the refereed proceedings of the 4th International Conference on Reliability, Safety, and Security of Railway Systems, RSSRail 2022, held in Paris, France, in June 2022. The 16 full papers presented in this book were carefully reviewed and selected from numerous submissions. They cover a range of topics including railways system and infrastructure advance modelling; scheduling and track planning; safety process and validation; modelling; formal verification; and security.
Shaping Our Selves
- Author : Erik Parens
- Publisher : Oxford University Press, USA
- Release Date : 2015
- Total pages : 219
- ISBN : 9780190211745
- File Size : 35,9 Mb
- Total Download : 791
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When bioethicists debate the ethics of using technologies like surgery and pharmacology to shape our selves, they are debating what it means for human beings to flourish. They are debating what makes animals like us truly happy, and whether the technologies at issue will bring us closer to or farther from such happiness. The positions that participants adopt in debates regarding such ancient and fundamental questions are often polarized, and cannot help but be deeply personal. It is no wonder that these debates are sometimes acrimonious. How can critics of and enthusiasts about technological self- transformation move forward in the midst of polarizing arguments? Based on his experience as a scholar at The Hastings Center, the oldest free-standing bioethics research institute in the world, Erik Parens proposes a habit of thinking, which he calls Binocular thinking lets us benefit from the insights that are visible from the stance of the enthusiast, who emphasizes that using technology to creatively transform our selves will make us happier, and to benefit from the insights that are visible from the stance of the critic, who emphasizes that learning to let ourselves be will make us happier. Because these debates ultimately entail critics and enthusiasts giving justifications for their own ways of being in the world, they entail the exchange of more than just impartial reasons. In the throes of our passion to make our case, we exaggerate our insights and all-too-often fall into the conceptual traps that our languages constantly set for us: Are human beings by nature creators or creatures? Are technologies morally neutral or value- laden? Is disability a medical or a social phenomenon? Indeed, are we free or determined? Parens explains how participating in these debates helped him articulate a habit of thinking, which is better at benefiting from the insights embedded in both poles of those binaries than was the habit of thinking he broug
Proceedings of the Future Technologies Conference (FTC) 2022, Volume 1
- Author : Kohei Arai
- Publisher : Springer Nature
- Release Date : 2022-10-12
- Total pages : 948
- ISBN : 9783031184611
- File Size : 33,9 Mb
- Total Download : 647
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The seventh Future Technologies Conference 2022 was organized in a hybrid mode. It received a total of 511 submissions from learned scholars, academicians, engineers, scientists and students across many countries. The papers included the wide arena of studies like Computing, Artificial Intelligence, Machine Vision, Ambient Intelligence and Security and their jaw- breaking application to the real world. After a double-blind peer review process 177 submissions have been selected to be included in these proceedings. One of the prominent contributions of this conference is the confluence of distinguished researchers who not only enthralled us by their priceless studies but also paved way for future area of research. The papers provide amicable solutions to many vexing problems across diverse fields. They also are a window to the future world which is completely governed by technology and its multiple applications. We hope that the readers find this volume interesting and inspiring and render their enthusiastic support towards it.
The Assessment List for Trustworthy Artificial Intelligence (ALTAI)
- Author : Pekka Ala-Pietilä ,Yann Bonnet,Urs Bergmann,Maria Bielikova ,Cecilia Bonefeld-Dahl,Wilhelm Bauer,Loubna Bouarfa ,Raja Chatila,Mark Coeckelbergh ,Virginia Dignum ,Jean-Francois Gagné ,Joanna Goodey,Sami Haddadin ,Gry Hasselbalch,Fredrik Heintz,Fanny Hidvegi ,Klaus Höckner,Mari-Noëlle Jégo-Laveissière,Leo Kärkkäinen,Sabine Theresia Köszegi ,Robert Kroplewski ,Ieva Martinkenaite,Raoul Mallart ,Catelijne Muller,Cécile Wendling ,Barry O’Sullivan ,Ursula Pachl,Nicolas Petit ,Andrea Renda,Francesca Rossi ,Karen Yeung,Françoise Soulié Fogelman ,Jaan Tallinn ,Jakob Uszkoreit ,Aimee Van Wynsberghe
- Publisher : European Commission
- Release Date : 2020-07-17
- Total pages : 34
- ISBN : 1230987654XX
- File Size : 25,6 Mb
- Total Download : 757
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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
Societal Responsibility of Artificial Intelligence
- Author : Jerome Beranger
- Publisher : John Wiley & Sons
- Release Date : 2021-06-29
- Total pages : 258
- ISBN : 9781786306944
- File Size : 36,7 Mb
- Total Download : 164
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The digital world is characterized by its immediacy, its density of information and its omnipresence, in contrast to the concrete world. Significant changes will occur in our society as AI becomes integrated into many aspects of our lives. This book focuses on this vision of universalization by dealing with the development and framework of AI applicable to all. It develops a moral framework based on a neo-Darwinian approach - the concept of Ethics by Evolution - to accompany AI by observing a certain number of requirements, recommendations and rules at each stage of design, implementation and use. The societal responsibility of artificial intelligence is an essential step towards ethical, eco-responsible and trustworthy AI, aiming to protect and serve people and the common good in a beneficial way.
Oxford Handbook of Ethics of AI
- Author : Markus D. Dubber,Frank Pasquale,Sunit Das
- Publisher : Oxford University Press
- Release Date : 2020-06-30
- Total pages : 1000
- ISBN : 9780190067410
- File Size : 43,7 Mb
- Total Download : 775
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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."
Artificial Intelligence as a Disruptive Technology
- Author : Rosario Girasa
- Publisher : Springer Nature
- Release Date : 2020-01-11
- Total pages : 339
- ISBN : 9783030359751
- File Size : 31,6 Mb
- Total Download : 105
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Artificial intelligence (AI) is the latest technological evolution which is transforming the global economy and is a major part of the “Fourth Industrial Revolution.” This book covers the meaning, types, subfields and applications of AI, including U.S. governmental policies and regulations, ethical and privacy issues, particularly as they pertain and affect facial recognition programs and the Internet-of Things (IoT). There is a lengthy analysis of bias, AI’s effect on the current and future job market, and how AI precipitated fake news. In addition, the text covers basics of intellectual property rights and how AI will transform their protection. The author then moves on to explore international initiatives from the European Union, China’s New Generation Development Plan, other regional areas, and international conventions. The book concludes with a discussion of super intelligence and the question and applicability of consciousness in machines. The interdisciplinary scope of the text will appeal to any scholars, students and general readers interested in the effects of AI on our society, particularly in the fields of STS, economics, law and politics.