Responsible Artificial Intelligence

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Responsible Artificial Intelligence

Virginia Dignum
Responsible Artificial Intelligence Book PDF

Author : Virginia Dignum
Publisher : Springer Nature
Page : 127 pages
File Size : 48,8 Mb
Release : 2019-11-04
Category : Computers
ISBN : 9783030303716

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Responsible Artificial Intelligence by Virginia Dignum Pdf

In this book, the author examines the ethical implications of Artificial Intelligence systems as they integrate and replace traditional social structures in new sociocognitive-technological environments. She discusses issues related to the integrity of researchers, technologists, and manufacturers as they design, construct, use, and manage artificially intelligent systems; formalisms for reasoning about moral decisions as part of the behavior of artificial autonomous systems such as agents and robots; and design methodologies for social agents based on societal, moral, and legal values. Throughout the book the author discusses related work, conscious of both classical, philosophical treatments of ethical issues and the implications in modern, algorithmic systems, and she combines regular references and footnotes with suggestions for further reading. This short overview is suitable for undergraduate students, in both technical and non-technical courses, and for interested and concerned researchers, practitioners, and citizens.

Responsible Artificial Intelligence

Virginia Dignum
Responsible Artificial Intelligence Book PDF

Author : Virginia Dignum
Publisher : Springer
Page : 127 pages
File Size : 46,5 Mb
Release : 2020-11-13
Category : Computers
ISBN : 303030373X

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Responsible Artificial Intelligence by Virginia Dignum Pdf

In this book, the author examines the ethical implications of Artificial Intelligence systems as they integrate and replace traditional social structures in new sociocognitive-technological environments. She discusses issues related to the integrity of researchers, technologists, and manufacturers as they design, construct, use, and manage artificially intelligent systems; formalisms for reasoning about moral decisions as part of the behavior of artificial autonomous systems such as agents and robots; and design methodologies for social agents based on societal, moral, and legal values. Throughout the book the author discusses related work, conscious of both classical, philosophical treatments of ethical issues and the implications in modern, algorithmic systems, and she combines regular references and footnotes with suggestions for further reading. This short overview is suitable for undergraduate students, in both technical and non-technical courses, and for interested and concerned researchers, practitioners, and citizens.

Responsible Artificial Intelligence

Virginia Dignum
Responsible Artificial Intelligence Book PDF

Author : Virginia Dignum
Publisher : Unknown
Page : 127 pages
File Size : 49,6 Mb
Release : 2019
Category : Artificial intelligence
ISBN : 3030303721

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Responsible Artificial Intelligence by Virginia Dignum Pdf

In this book, the author examines the ethical implications of Artificial Intelligence systems as they integrate and replace traditional social structures in new sociocognitive-technological environments. She discusses issues related to the integrity of researchers, technologists, and manufacturers as they design, construct, use, and manage artificially intelligent systems; formalisms for reasoning about moral decisions as part of the behavior of artificial autonomous systems such as agents and robots; and design methodologies for social agents based on societal, moral, and legal values. Throughout the book the author discusses related work, conscious of both classical, philosophical treatments of ethical issues and the implications in modern, algorithmic systems, and she combines regular references and footnotes with suggestions for further reading. This short overview is suitable for undergraduate students, in both technical and non-technical courses, and for interested and concerned researchers, practitioners, and citizens. --

Responsible AI and Analytics for an Ethical and Inclusive Digitized Society

Denis Dennehy,Anastasia Griva,Nancy Pouloudi,Yogesh K. Dwivedi,Ilias Pappas,Matti Mäntymäki
Responsible AI and Analytics for an Ethical and Inclusive Digitized Society Book PDF

Author : Denis Dennehy,Anastasia Griva,Nancy Pouloudi,Yogesh K. Dwivedi,Ilias Pappas,Matti Mäntymäki
Publisher : Springer Nature
Page : 794 pages
File Size : 49,8 Mb
Release : 2021-08-25
Category : Computers
ISBN : 9783030854478

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Responsible AI and Analytics for an Ethical and Inclusive Digitized Society by Denis Dennehy,Anastasia Griva,Nancy Pouloudi,Yogesh K. Dwivedi,Ilias Pappas,Matti Mäntymäki Pdf

This volume constitutes the proceedings of the 20th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2021, held in Galway, Ireland, in September 2021.* The total of 57 full and 8 short papers presented in these volumes were carefully reviewed and selected from 141 submissions. The papers are organized in the following topical sections: AI for Digital Transformation and Public Good; AI & Analytics Decision Making; AI Philosophy, Ethics & Governance; Privacy & Transparency in a Digitized Society; Digital Enabled Sustainable Organizations and Societies; Digital Technologies and Organizational Capabilities; Digitized Supply Chains; Customer Behavior and E-business; Blockchain; Information Systems Development; Social Media & Analytics; and Teaching & Learning. *The conference was held virtually due to the COVID-19 pandemic.

Introducing MLOps

Mark Treveil,Nicolas Omont,Clément Stenac,Kenji Lefevre,Du Phan,Joachim Zentici,Adrien Lavoillotte,Makoto Miyazaki,Lynn Heidmann
Introducing MLOps Book PDF

Author : Mark Treveil,Nicolas Omont,Clément Stenac,Kenji Lefevre,Du Phan,Joachim Zentici,Adrien Lavoillotte,Makoto Miyazaki,Lynn Heidmann
Publisher : "O'Reilly Media, Inc."
Page : 171 pages
File Size : 54,8 Mb
Release : 2020-11-30
Category : Computers
ISBN : 9781098116422

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Introducing MLOps by Mark Treveil,Nicolas Omont,Clément Stenac,Kenji Lefevre,Du Phan,Joachim Zentici,Adrien Lavoillotte,Makoto Miyazaki,Lynn Heidmann Pdf

More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact. This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time. Through lessons based on numerous MLOps applications around the world, nine experts in machine learning provide insights into the five steps of the model life cycle--Build, Preproduction, Deployment, Monitoring, and Governance--uncovering how robust MLOps processes can be infused throughout. This book helps you: Fulfill data science value by reducing friction throughout ML pipelines and workflows Refine ML models through retraining, periodic tuning, and complete remodeling to ensure long-term accuracy Design the MLOps life cycle to minimize organizational risks with models that are unbiased, fair, and explainable Operationalize ML models for pipeline deployment and for external business systems that are more complex and less standardized

Artificial Intelligence for a Better Future

Bernd Carsten Stahl
Artificial Intelligence for a Better Future Book PDF

Author : Bernd Carsten Stahl
Publisher : Springer Nature
Page : 128 pages
File Size : 54,6 Mb
Release : 2021-03-17
Category : Computers
ISBN : 9783030699789

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Artificial Intelligence for a Better Future by Bernd Carsten Stahl Pdf

This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place.

Oxford Handbook of Ethics of AI

Markus D. Dubber,Frank Pasquale,Sunit Das
Oxford Handbook of Ethics of AI Book PDF

Author : Markus D. Dubber,Frank Pasquale,Sunit Das
Publisher : Oxford University Press
Page : 1000 pages
File Size : 43,5 Mb
Release : 2020-06-30
Category : Law
ISBN : 9780190067410

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Oxford Handbook of Ethics of AI by Markus D. Dubber,Frank Pasquale,Sunit Das Pdf

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."

Trustworthy AI

Beena Ammanath
Trustworthy AI Book PDF

Author : Beena Ammanath
Publisher : John Wiley & Sons
Page : 230 pages
File Size : 47,9 Mb
Release : 2022-03-15
Category : Computers
ISBN : 9781119867951

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Trustworthy AI by Beena Ammanath Pdf

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.

Societal Responsibility of Artificial Intelligence

Jerome Beranger
Societal Responsibility of Artificial Intelligence Book PDF

Author : Jerome Beranger
Publisher : John Wiley & Sons
Page : 258 pages
File Size : 51,9 Mb
Release : 2021-06-02
Category : Technology & Engineering
ISBN : 9781119831785

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Societal Responsibility of Artificial Intelligence by Jerome Beranger Pdf

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.

Responsible AI

CSIRO,Qinghua Lu,Liming Zhu,Jon Whittle,Xiwei Xu
Responsible AI Book PDF

Author : CSIRO,Qinghua Lu,Liming Zhu,Jon Whittle,Xiwei Xu
Publisher : Addison-Wesley Professional
Page : 424 pages
File Size : 48,9 Mb
Release : 2023-12-08
Category : Computers
ISBN : 9780138073886

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Responsible AI by CSIRO,Qinghua Lu,Liming Zhu,Jon Whittle,Xiwei Xu Pdf

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.

Responsible AI

Sray Agarwal,Shashin Mishra
Responsible AI Book PDF

Author : Sray Agarwal,Shashin Mishra
Publisher : Springer Nature
Page : 189 pages
File Size : 50,8 Mb
Release : 2021-09-13
Category : Computers
ISBN : 9783030768607

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Responsible AI by Sray Agarwal,Shashin Mishra Pdf

This book is written for software product teams that use AI to add intelligent models to their products or are planning to use it. As AI adoption grows, it is becoming important that all AI driven products can demonstrate they are not introducing any bias to the AI-based decisions they are making, as well as reducing any pre-existing bias or discrimination. The responsibility to ensure that the AI models are ethical and make responsible decisions does not lie with the data scientists alone. The product owners and the business analysts are as important in ensuring bias-free AI as the data scientists on the team. This book addresses the part that these roles play in building a fair, explainable and accountable model, along with ensuring model and data privacy. Each chapter covers the fundamentals for the topic and then goes deep into the subject matter – providing the details that enable the business analysts and the data scientists to implement these fundamentals. AI research is one of the most active and growing areas of computer science and statistics. This book includes an overview of the many techniques that draw from the research or are created by combining different research outputs. Some of the techniques from relevant and popular libraries are covered, but deliberately not drawn very heavily from as they are already well documented, and new research is likely to replace some of it.

AI Ethics

Mark Coeckelbergh
AI Ethics Book PDF

Author : Mark Coeckelbergh
Publisher : MIT Press
Page : 250 pages
File Size : 45,9 Mb
Release : 2020-04-07
Category : Computers
ISBN : 9780262538190

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AI Ethics by Mark Coeckelbergh Pdf

This overview of the ethical issues raised by artificial intelligence moves beyond hype and nightmare scenarios to address concrete questions—offering a compelling, necessary read for our ChatGPT era. Artificial intelligence powers Google’s search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues. Written by a philosopher of technology, AI Ethics goes beyond the usual hype and nightmare scenarios to address concrete questions. Mark Coeckelbergh describes influential AI narratives, ranging from Frankenstein’s monster to transhumanism and the technological singularity. He surveys relevant philosophical discussions: questions about the fundamental differences between humans and machines and debates over the moral status of AI. He explains the technology of AI, describing different approaches and focusing on machine learning and data science. He offers an overview of important ethical issues, including privacy concerns, responsibility and the delegation of decision making, transparency, and bias as it arises at all stages of data science processes. He also considers the future of work in an AI economy. Finally, he analyzes a range of policy proposals and discusses challenges for policymakers. He argues for ethical practices that embed values in design, translate democratic values into practices and include a vision of the good life and the good society.

Responsible Artificial Intelligence

René Schmidpeter,Reinhard Altenburger
Responsible Artificial Intelligence Book PDF

Author : René Schmidpeter,Reinhard Altenburger
Publisher : Springer Nature
Page : 304 pages
File Size : 44,8 Mb
Release : 2023-02-01
Category : Business & Economics
ISBN : 9783031092459

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Responsible Artificial Intelligence by René Schmidpeter,Reinhard Altenburger Pdf

Artificial intelligence - and social responsibility. Two topics that are at the top of the business agenda. This book discusses in theory and practice how both topics influence each other. In addition to impulses from the current often controversial scientific discussion, it presents case studies from companies dealing with the specific challenges of artificial intelligence. Particular emphasis is placed on the opportunities that artificial intelligence (AI) offers for companies from different industries. The book shows how dealing with the tension between AI and challenges caused by new corporate social responsibility creates strategic opportunities and also innovation opportunities. It highlights the active involvement of stakeholders in the design process, which is meant to build trust among customers and the public and thus contributes to the innovation and acceptance of artificial intelligence. The book is aimed at researchers and practitioners in the fields of corporate social responsibility as well as artificial intelligence and digitalization. The chapter "Exploring AI with purpose" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Responsible AI and Ethical Issues for Businesses and Governments

Vassileva, Bistra,Zwilling, Moti
Responsible AI and Ethical Issues for Businesses and Governments Book PDF

Author : Vassileva, Bistra,Zwilling, Moti
Publisher : IGI Global
Page : 259 pages
File Size : 41,6 Mb
Release : 2020-10-16
Category : Technology & Engineering
ISBN : 9781799842866

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Responsible AI and Ethical Issues for Businesses and Governments by Vassileva, Bistra,Zwilling, Moti Pdf

The research surrounding artificial intelligence (AI) is vast and quite diverse in both its applied and theoretical fields. AI tools and techniques, such as machine learning, data mining, neural networks, and advanced analytics, are evolving at a high speed, creating a consistent need for updated research. This is especially relevant with frequent developments for the application of AI technology in many science and industry sectors. This rapid expansion created a need for research that focuses on the questions surrounding the development of AI such as ethical issues, responsible AI methods and applications, and its widespread implementation. Within the answers to these questions is the prevailing notion that AI should be accountable, explainable, transparent, and fair for all organizations and individuals. Responsible AI and Ethical Issues for Businesses and Governments widens the understanding of AI outside of the “narrow” technical perspective to a broader viewpoint that embraces the links between AI theory, practice, and policy. The chapters in this book discuss the basic philosophical and conceptual foundations of AI and explores the responsible application of AI tools and methods, the moral aspects of AI, practical issues, and responsible AI implementation across a range of industries. While highlighting topics that include digital transformation, ethical competence, information literacy in AI, and the interaction between AI and humans, this book is ideally designed for IT specialists, technology developers, technologists, ethicists, practitioners, stakeholders, academicians, students, and researchers who are interested in learning more about the ethical and responsible use of AI.

Towards a Code of Ethics for Artificial Intelligence

Paula Boddington
Towards a Code of Ethics for Artificial Intelligence Book PDF

Author : Paula Boddington
Publisher : Springer
Page : 124 pages
File Size : 50,5 Mb
Release : 2017-11-09
Category : Computers
ISBN : 9783319606484

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Towards a Code of Ethics for Artificial Intelligence by Paula Boddington Pdf

The author investigates how to produce realistic and workable ethical codes or regulations in this rapidly developing field to address the immediate and realistic longer-term issues facing us. She spells out the key ethical debates concisely, exposing all sides of the arguments, and addresses how codes of ethics or other regulations might feasibly be developed, looking for pitfalls and opportunities, drawing on lessons learned in other fields, and explaining key points of professional ethics. The book provides a useful resource for those aiming to address the ethical challenges of AI research in meaningful and practical ways.