Fairness In Artificial Intelligence Algorithms

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Responsible AI and Analytics for an Ethical and Inclusive Digitized Society

Author : Denis Dennehy
Publisher : Springer Nature
ISBN 13 : 3030854477
Total Pages : 794 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Responsible AI and Analytics for an Ethical and Inclusive Digitized Society by : Denis Dennehy

Download or read book Responsible AI and Analytics for an Ethical and Inclusive Digitized Society written by Denis Dennehy and published by Springer Nature. This book was released on 2021-08-25 with total page 794 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Ethical Algorithm

Author : Michael Kearns
Publisher :
ISBN 13 : 0190948205
Total Pages : 229 pages
Book Rating : 4.1/5 (99 download)

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Book Synopsis The Ethical Algorithm by : Michael Kearns

Download or read book The Ethical Algorithm written by Michael Kearns and published by . This book was released on 2020 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms have made our lives more efficient and entertaining--but not without a significant cost. Can we design a better future, one in which societial gains brought about by technology are balanced with the rights of citizens? The Ethical Algorithm offers a set of principled solutions based on the emerging and exciting science of socially aware algorithm design.

Big Data and Social Science

Author : Ian Foster
Publisher : CRC Press
ISBN 13 : 1498751431
Total Pages : 493 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Big Data and Social Science by : Ian Foster

Download or read book Big Data and Social Science written by Ian Foster and published by CRC Press. This book was released on 2016-08-10 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice. The book provides practical guidance on combining methods and tools from computer science, statistics, and social science. This concrete approach is illustrated throughout using an important national problem, the quantitative study of innovation. The text draws on the expertise of prominent leaders in statistics, the social sciences, data science, and computer science to teach students how to use modern social science research principles as well as the best analytical and computational tools. It uses a real-world challenge to introduce how these tools are used to identify and capture appropriate data, apply data science models and tools to that data, and recognize and respond to data errors and limitations. For more information, including sample chapters and news, please visit the author's website.

An Intelligence in Our Image

Author : Osonde A. Osoba
Publisher : Rand Corporation
ISBN 13 : 0833097636
Total Pages : 45 pages
Book Rating : 4.8/5 (33 download)

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Book Synopsis An Intelligence in Our Image by : Osonde A. Osoba

Download or read book An Intelligence in Our Image written by Osonde A. Osoba and published by Rand Corporation. This book was released on 2017-04-05 with total page 45 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning algorithms and artificial intelligence influence many aspects of life today. This report identifies some of their shortcomings and associated policy risks and examines some approaches for combating these problems.

An Introduction to Ethics in Robotics and AI

Author : Christoph Bartneck
Publisher : Springer Nature
ISBN 13 : 3030511103
Total Pages : 124 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis An Introduction to Ethics in Robotics and AI by : Christoph Bartneck

Download or read book An Introduction to Ethics in Robotics and AI written by Christoph Bartneck and published by Springer Nature. This book was released on 2020-08-11 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book introduces the reader to the foundations of AI and ethics. It discusses issues of trust, responsibility, liability, privacy and risk. It focuses on the interaction between people and the AI systems and Robotics they use. Designed to be accessible for a broad audience, reading this book does not require prerequisite technical, legal or philosophical expertise. Throughout, the authors use examples to illustrate the issues at hand and conclude the book with a discussion on the application areas of AI and Robotics, in particular autonomous vehicles, automatic weapon systems and biased algorithms. A list of questions and further readings is also included for students willing to explore the topic further.

The AI Book

Author : Ivana Bartoletti
Publisher : John Wiley & Sons
ISBN 13 : 1119551900
Total Pages : 304 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis The AI Book by : Ivana Bartoletti

Download or read book The AI Book written by Ivana Bartoletti and published by John Wiley & Sons. This book was released on 2020-06-29 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by prominent thought leaders in the global fintech space, The AI Book aggregates diverse expertise into a single, informative volume and explains what artifical intelligence really means and how it can be used across financial services today. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned. Coverage includes: · Understanding the AI Portfolio: from machine learning to chatbots, to natural language processing (NLP); a deep dive into the Machine Intelligence Landscape; essentials on core technologies, rethinking enterprise, rethinking industries, rethinking humans; quantum computing and next-generation AI · AI experimentation and embedded usage, and the change in business model, value proposition, organisation, customer and co-worker experiences in today’s Financial Services Industry · The future state of financial services and capital markets – what’s next for the real-world implementation of AITech? · The innovating customer – users are not waiting for the financial services industry to work out how AI can re-shape their sector, profitability and competitiveness · Boardroom issues created and magnified by AI trends, including conduct, regulation & oversight in an algo-driven world, cybersecurity, diversity & inclusion, data privacy, the ‘unbundled corporation’ & the future of work, social responsibility, sustainability, and the new leadership imperatives · Ethical considerations of deploying Al solutions and why explainable Al is so important

Oxford Handbook of Ethics of AI

Author : Markus D. Dubber
Publisher : Oxford University Press
ISBN 13 : 0190067411
Total Pages : 1000 pages
Book Rating : 4.1/5 (9 download)

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Book Synopsis Oxford Handbook of Ethics of AI by : Markus D. Dubber

Download or read book Oxford Handbook of Ethics of AI written by Markus D. Dubber and published by Oxford University Press. This book was released on 2020-06-30 with total page 1000 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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."

Principles and Practice of Constraint Programming

Author : Helmut Simonis
Publisher : Springer Nature
ISBN 13 : 3030584755
Total Pages : 984 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Principles and Practice of Constraint Programming by : Helmut Simonis

Download or read book Principles and Practice of Constraint Programming written by Helmut Simonis and published by Springer Nature. This book was released on 2020-09-06 with total page 984 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 26th International Conference on Principles and Practice of Constraint Programming, CP 2020, held in Louvain-la-Neuve, Belgium, in September 2020. The conference was held virtually due to the COVID-19 pandemic. The 55 full papers presented in this volume were carefully reviewed and selected from 122 submissions. They deal with all aspects of computing with constraints including theory, algorithms, environments, languages, models, systems, and applications such as decision making, resource allocation, scheduling, configuration, and planning. The papers were organized according to the following topics/tracks: technical track; application track; and CP and data science and machine learning.

Algorithms of Oppression

Author : Safiya Umoja Noble
Publisher : NYU Press
ISBN 13 : 1479837245
Total Pages : 245 pages
Book Rating : 4.4/5 (798 download)

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Book Synopsis Algorithms of Oppression by : Safiya Umoja Noble

Download or read book Algorithms of Oppression written by Safiya Umoja Noble and published by NYU Press. This book was released on 2018-02-20 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: Acknowledgments -- Introduction: the power of algorithms -- A society, searching -- Searching for Black girls -- Searching for people and communities -- Searching for protections from search engines -- The future of knowledge in the public -- The future of information culture -- Conclusion: algorithms of oppression -- Epilogue -- Notes -- Bibliography -- Index -- About the author

How Conditional Cash Transfers Work

Author : Pablo Ibarrarán
Publisher :
ISBN 13 : 9781597822749
Total Pages : pages
Book Rating : 4.8/5 (227 download)

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Book Synopsis How Conditional Cash Transfers Work by : Pablo Ibarrarán

Download or read book How Conditional Cash Transfers Work written by Pablo Ibarrarán and published by . This book was released on 2017-01-31 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Weapons of Math Destruction

Author : Cathy O'Neil
Publisher : Crown Publishing Group (NY)
ISBN 13 : 0553418815
Total Pages : 274 pages
Book Rating : 4.5/5 (534 download)

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Book Synopsis Weapons of Math Destruction by : Cathy O'Neil

Download or read book Weapons of Math Destruction written by Cathy O'Neil and published by Crown Publishing Group (NY). This book was released on 2016 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: "A former Wall Street quantitative analyst sounds an alarm on mathematical modeling, a pervasive new force in society that threatens to undermine democracy and widen inequality,"--NoveList.

Envisioning the Data Science Discipline

Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
ISBN 13 : 0309465052
Total Pages : 69 pages
Book Rating : 4.3/5 (94 download)

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Book Synopsis Envisioning the Data Science Discipline by : National Academies of Sciences, Engineering, and Medicine

Download or read book Envisioning the Data Science Discipline written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2018-03-05 with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt: The need to manage, analyze, and extract knowledge from data is pervasive across industry, government, and academia. Scientists, engineers, and executives routinely encounter enormous volumes of data, and new techniques and tools are emerging to create knowledge out of these data, some of them capable of working with real-time streams of data. The nation's ability to make use of these data depends on the availability of an educated workforce with necessary expertise. With these new capabilities have come novel ethical challenges regarding the effectiveness and appropriateness of broad applications of data analyses. The field of data science has emerged to address the proliferation of data and the need to manage and understand it. Data science is a hybrid of multiple disciplines and skill sets, draws on diverse fields (including computer science, statistics, and mathematics), encompasses topics in ethics and privacy, and depends on specifics of the domains to which it is applied. Fueled by the explosion of data, jobs that involve data science have proliferated and an array of data science programs at the undergraduate and graduate levels have been established. Nevertheless, data science is still in its infancy, which suggests the importance of envisioning what the field might look like in the future and what key steps can be taken now to move data science education in that direction. This study will set forth a vision for the emerging discipline of data science at the undergraduate level. This interim report lays out some of the information and comments that the committee has gathered and heard during the first half of its study, offers perspectives on the current state of data science education, and poses some questions that may shape the way data science education evolves in the future. The study will conclude in early 2018 with a final report that lays out a vision for future data science education.

Competing in the Age of AI

Author : Marco Iansiti
Publisher : Harvard Business Press
ISBN 13 : 1633697630
Total Pages : 175 pages
Book Rating : 4.6/5 (336 download)

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Book Synopsis Competing in the Age of AI by : Marco Iansiti

Download or read book Competing in the Age of AI written by Marco Iansiti and published by Harvard Business Press. This book was released on 2020-01-07 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: "a provocative new book" — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.

Mathematics for Machine Learning

Author : Marc Peter Deisenroth
Publisher : Cambridge University Press
ISBN 13 : 1108569323
Total Pages : 392 pages
Book Rating : 4.1/5 (85 download)

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Book Synopsis Mathematics for Machine Learning by : Marc Peter Deisenroth

Download or read book Mathematics for Machine Learning written by Marc Peter Deisenroth and published by Cambridge University Press. This book was released on 2020-04-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.

Value Sensitive Design

Author : Batya Friedman
Publisher : MIT Press
ISBN 13 : 0262039532
Total Pages : 258 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Value Sensitive Design by : Batya Friedman

Download or read book Value Sensitive Design written by Batya Friedman and published by MIT Press. This book was released on 2019-05-21 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using our moral and technical imaginations to create responsible innovations: theory, method, and applications for value sensitive design. Implantable medical devices and human dignity. Private and secure access to information. Engineering projects that transform the Earth. Multigenerational information systems for international justice. How should designers, engineers, architects, policy makers, and others design such technology? Who should be involved and what values are implicated? In Value Sensitive Design, Batya Friedman and David Hendry describe how both moral and technical imagination can be brought to bear on the design of technology. With value sensitive design, under development for more than two decades, Friedman and Hendry bring together theory, methods, and applications for a design process that engages human values at every stage. After presenting the theoretical foundations of value sensitive design, which lead to a deep rethinking of technical design, Friedman and Hendry explain seventeen methods, including stakeholder analysis, value scenarios, and multilifespan timelines. Following this, experts from ten application domains report on value sensitive design practice. Finally, Friedman and Hendry explore such open questions as the need for deeper investigation of indirect stakeholders and further method development. This definitive account of the state of the art in value sensitive design is an essential resource for designers and researchers working in academia and industry, students in design and computer science, and anyone working at the intersection of technology and society.

Unimagined Futures – ICT Opportunities and Challenges

Author : Leon Strous
Publisher : Springer Nature
ISBN 13 : 3030642461
Total Pages : 233 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Unimagined Futures – ICT Opportunities and Challenges by : Leon Strous

Download or read book Unimagined Futures – ICT Opportunities and Challenges written by Leon Strous and published by Springer Nature. This book was released on 2020-12-05 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Festschrift, Unimagined Futures – ICT Opportunities and Challenges, is the first Festschrift in the IFIP AICT series. It examines key challenges facing the ICT community today. While addressing the contemporary challenges, the book provides the opportunity to look back to help understand the contemporary scene and identify appropriate future responses to them. Experts in different areas of the ICT scene have contributed to this IFIP 60th anniversary book, which will be a key input to the ICT community worldwide on setting policy priorities and agendas for the coming decade. In addition, a number of contributions look specifically at the role of professionals and of national, regional, and global organizations in disseminating the benefits of ICT to humanity worldwide.

Recent Trends in Learning From Data

Author : Luca Oneto
Publisher : Springer
ISBN 13 : 9783030438852
Total Pages : 221 pages
Book Rating : 4.4/5 (388 download)

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Book Synopsis Recent Trends in Learning From Data by : Luca Oneto

Download or read book Recent Trends in Learning From Data written by Luca Oneto and published by Springer. This book was released on 2021-04-04 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a timely snapshot and extensive practical and theoretical insights into the topic of learning from data. Based on the tutorials presented at the INNS Big Data and Deep Learning Conference, INNSBDDL2019, held on April 16-18, 2019, in Sestri Levante, Italy, the respective chapters cover advanced neural networks, deep architectures, and supervised and reinforcement machine learning models. They describe important theoretical concepts, presenting in detail all the necessary mathematical formalizations, and offer essential guidance on their use in current big data research.