Risks of Artificial Intelligence PDF Download

Author: Vincent C. Müller
Publisher: CRC Press
ISBN: 1498734839
Category : Computers
Languages : en
Pages : 294

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Book Description
Featuring contributions from leading experts and thinkers in the theory of artificial intelligence (AI), this is one of the first books dedicated to examining the risks of AI. The book evaluates predictions of the future of AI, proposes ways to ensure that AI systems will be beneficial to humans, and then critically evaluates such proposals. The book covers the latest AI research, including the risks and future impacts. Ethical issues in AI are covered extensively along with an exploration of autonomous technology and its impact on humanity.

Author: Vincent C. Muller
Publisher: Chapman and Hall/CRC
ISBN: 9781498734820
Category : Computers
Languages : en
Pages : 0

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Book Description
This book covers the latest research on General Artificial Intelligence, including the risks and future impacts. Ethical issues in artificial intelligence are covered extensively, along with an exploration of autonomous technology and its impact on humanity. The book also covers famous artificial intelligence predictions and what they mean for the future of artificial intelligence.

Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309494508
Category : Computers
Languages : en
Pages : 99

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Book Description
In recent years, interest and progress in the area of artificial intelligence (AI) and machine learning (ML) have boomed, with new applications vigorously pursued across many sectors. At the same time, the computing and communications technologies on which we have come to rely present serious security concerns: cyberattacks have escalated in number, frequency, and impact, drawing increased attention to the vulnerabilities of cyber systems and the need to increase their security. In the face of this changing landscape, there is significant concern and interest among policymakers, security practitioners, technologists, researchers, and the public about the potential implications of AI and ML for cybersecurity. The National Academies of Sciences, Engineering, and Medicine convened a workshop on March 12-13, 2019 to discuss and explore these concerns. This publication summarizes the presentations and discussions from the workshop.

Author: El Bachir Boukherouaa
Publisher: International Monetary Fund
ISBN: 1589063953
Category : Business & Economics
Languages : en
Pages : 35

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Book Description
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

Author: Osonde A. Osoba
Publisher: Rand Corporation
ISBN: 0833097636
Category : Computers
Languages : en
Pages : 44

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Book Description
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.

Author: Christoph Bartneck
Publisher: Springer Nature
ISBN: 3030511103
Category : Philosophy
Languages : en
Pages : 124

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Book Description
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.

Author: Cyrus Parsa
Publisher:
ISBN: 9781733454438
Category :
Languages : en
Pages :

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Book Description
In this book, I will describe how Social Programming with a rape automation component works to hurt and damage young girls, woman, men, families, our entire society; effecting your physical health, mind, finances, and future ability to have a fulfilling life with higher opportunities. You will understand how to decode it, prevent it, counter it, and help eliminate it from your life and from society, in turn doing your part in making a better world. You will further understand a higher decoding, for which the Social Programming Institute (The SPI) has termed as Bio-Digital Social Programming, that is used in a hybrid way, penetrating your defenses in order to rape you in sub-conscious, unconscious and conscious automated ways. This rape is termed Bio-Digital Hybrid Sexual Assault, which penetrates your Bio-Digital Field and is rampant with Smart Phones, Apps, IoT devices and AI, utilizing a certain frequency that replicates in the human body, through your nervous system, cells, and even impacts your DNA. The mind of a rapist bio-digitally crosses through content provided by Hollywood, Media, Music, Dance and the Education System. This mind has been termed Rape-Mind, as we have discovered bio-metric technologies that show and decode its very building blocks comprised of bio-digital fields and bio-matter. The investigator at The SPI has invested more than 20 years of research on the Human Bio-Digital Network, with interviews of men that slept with 200 to 5,000 girls. Girls and women from young ages to very old were interviewed and the intelligence gathered incorporates scientific methods that include AI algorithms in conjunction with contemporary culture, media, industry, and issues related to mind-body health, growth and well-being. The victims are not simply girls or women, but all men as well. This is a must read for anyone interested in a meaningful relationship, and anyone who is a parent, a sister, a brother, a daughter, family, in law enforcement, in the tech industry, in education, in the media or government.

Author: Mark Treveil
Publisher: O'Reilly Media
ISBN: 1098116445
Category : Computers
Languages : en
Pages : 186

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Book Description
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

Author: Pihlajarinne, Taina
Publisher: Edward Elgar Publishing
ISBN: 1839109971
Category : Law
Languages : en
Pages : 320

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Book Description
This timely book presents a detailed analysis of the role of law and regulation in the utilisation of Artificial Intelligence (AI) in the media sector. As well as contributing to the wider discussion on law and AI, the book also digs deeper by exploring pressing issues at the intersections of AI, media, and the law. Chapters critically re-examine various rights and responsibilities from the perspectives of incentives for accountable utilisation of AI in the industry.

Author: Terisa Roberts
Publisher: John Wiley & Sons
ISBN: 111982494X
Category : Business & Economics
Languages : en
Pages : 214

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Book Description
A wide-ranging overview of the use of machine learning and AI techniques in financial risk management, including practical advice for implementation Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning introduces readers to the use of innovative AI technologies for forecasting and evaluating financial risks. Providing up-to-date coverage of the practical application of current modelling techniques in risk management, this real-world guide also explores new opportunities and challenges associated with implementing machine learning and artificial intelligence (AI) into the risk management process. Authors Terisa Roberts and Stephen Tonna provide readers with a clear understanding about the strengths and weaknesses of machine learning and AI while explaining how they can be applied to both everyday risk management problems and to evaluate the financial impact of extreme events such as global pandemics and changes in climate. Throughout the text, the authors clarify misconceptions about the use of machine learning and AI techniques using clear explanations while offering step-by-step advice for implementing the technologies into an organization's risk management model governance framework. This authoritative volume: Highlights the use of machine learning and AI in identifying procedures for avoiding or minimizing financial risk Discusses practical tools for assessing bias and interpretability of resultant models developed with machine learning algorithms and techniques Covers the basic principles and nuances of feature engineering and common machine learning algorithms Illustrates how risk modeling is incorporating machine learning and AI techniques to rapidly consume complex data and address current gaps in the end-to-end modelling lifecycle Explains how proprietary software and open-source languages can be combined to deliver the best of both worlds: for risk models and risk practitioners Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning is an invaluable guide for CEOs, CROs, CFOs, risk managers, business managers, and other professionals working in risk management.