Artificial Intelligence Safety


Artificial Intelligence Safety
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Artificial Intelligence Safety And Security


Artificial Intelligence Safety And Security
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Author : Roman V. Yampolskiy
language : en
Publisher: CRC Press
Release Date : 2018-07-27

Artificial Intelligence Safety And Security written by Roman V. Yampolskiy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-27 with Computers categories.


The history of robotics and artificial intelligence in many ways is also the history of humanity’s attempts to control such technologies. From the Golem of Prague to the military robots of modernity, the debate continues as to what degree of independence such entities should have and how to make sure that they do not turn on us, its inventors. Numerous recent advancements in all aspects of research, development and deployment of intelligent systems are well publicized but safety and security issues related to AI are rarely addressed. This book is proposed to mitigate this fundamental problem. It is comprised of chapters from leading AI Safety researchers addressing different aspects of the AI control problem as it relates to the development of safe and secure artificial intelligence. The book is the first edited volume dedicated to addressing challenges of constructing safe and secure advanced machine intelligence. The chapters vary in length and technical content from broad interest opinion essays to highly formalized algorithmic approaches to specific problems. All chapters are self-contained and could be read in any order or skipped without a loss of comprehension.



Artificial Intelligence Safety


Artificial Intelligence Safety
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-07-02

Artificial Intelligence Safety written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-02 with Computers categories.


What Is Artificial Intelligence Safety Artificial intelligence (AI) safety is an interdisciplinary field that focuses on the prevention of accidents, abuse, and other potentially negative outcomes that could be caused by artificial intelligence (AI) systems. It comprises machine ethics and AI alignment, both of which attempt to make AI systems moral and beneficial, while AI safety encompasses technical concerns such monitoring systems for hazards and making them extremely reliable. Both of these aspects aim to make AI systems more trustworthy and beneficial. In addition to AI research, it entails the development of standards and guidelines that prioritize safety. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: AI safety Chapter 2: Machine learning Chapter 3: Artificial general intelligence Chapter 4: Applications of artificial intelligence Chapter 5: Adversarial machine learning Chapter 6: Existential risk from artificial general intelligence Chapter 7: AI alignment Chapter 8: Explainable artificial intelligence Chapter 9: Neuro-symbolic AI Chapter 10: Hallucination (artificial intelligence) (II) Answering the public top questions about artificial intelligence safety. (III) Real world examples for the usage of artificial intelligence safety in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of artificial intelligence safety' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of artificial intelligence safety.



Introduction To Ai Safety Ethics And Society


Introduction To Ai Safety Ethics And Society
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Author : Dan Hendrycks
language : en
Publisher: Dan Hendrycks
Release Date :

Introduction To Ai Safety Ethics And Society written by Dan Hendrycks and has been published by Dan Hendrycks this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


The past decade has seen swift progress in AI research. Today’s state of the art systems dramatically outperform humans in narrow areas such as understanding how proteins fold or playing chess and Go. They are closing in on expert performance in other areas: for example, they achieve marks that outperform the average doctor and lawyer in professional exams and perform similarly to the average software engineer on some coding challenges. Advances in AI could transform society for the better, for example by accelerating scientific innovation. However, the rapid development of AI systems' capabilities has drawn increased attention to the risks that advanced AI systems could pose to society in the near future, whether via accidents, misuse by bad actors, or loss of control. In this book, Dan Hendrycks, Director of the Center for AI Safety, provides a comprehensive introduction to how current AI systems work, why we might be concerned about potential catastrophic risks from AI, and how society can manage and mitigate these risks.



Machine Learning Safety


Machine Learning Safety
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Author : Xiaowei Huang
language : en
Publisher: Springer
Release Date : 2023-04-13

Machine Learning Safety written by Xiaowei Huang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-13 with Computers categories.


Machine learning algorithms allow computers to learn without being explicitly programmed. Their application is now spreading to highly sophisticated tasks across multiple domains, such as medical diagnostics or fully autonomous vehicles. While this development holds great potential, it also raises new safety concerns, as machine learning has many specificities that make its behaviour prediction and assessment very different from that for explicitly programmed software systems. This book addresses the main safety concerns with regard to machine learning, including its susceptibility to environmental noise and adversarial attacks. Such vulnerabilities have become a major roadblock to the deployment of machine learning in safety-critical applications. The book presents up-to-date techniques for adversarial attacks, which are used to assess the vulnerabilities of machine learning models; formal verification, which is used to determine if a trained machine learning model is free of vulnerabilities; and adversarial training, which is used to enhance the training process and reduce vulnerabilities. The book aims to improve readers’ awareness of the potential safety issues regarding machine learning models. In addition, it includes up-to-date techniques for dealing with these issues, equipping readers with not only technical knowledge but also hands-on practical skills.



Ai Tools And Applications For Women S Safety


Ai Tools And Applications For Women S Safety
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Author : Ponnusamy, Sivaram
language : en
Publisher: IGI Global
Release Date : 2024-01-24

Ai Tools And Applications For Women S Safety written by Ponnusamy, Sivaram and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-24 with Computers categories.


In an era marked by rapid technological progress, women's safety remains a pressing concern despite strides toward gender equality. Women continue to grapple with safety challenges in both public and private spaces, enduring harassment, violence, and discrimination driven by entrenched societal norms and modern complexities. Amidst these challenges, harnessing the potential of artificial intelligence (AI) emerges as a promising avenue to reshape the landscape of women's safety. The groundbreaking book, AI Tools and Applications for Women’s Safety, curated by experts Sivaram Ponnusamy, Vibha Bora, Prema Daigavane, and Sampada Wazalwar, delves into the transformative power of AI to address the daily safety concerns women face. This timely volume explores innovative AI-driven resources and applications that redefine personal security, offering tailored protection through real-time threat assessment and emergency response coordination. With comprehensive insights spanning academia, law enforcement, policymaking, and advocacy, this book covers predictive safety analytics, smart surveillance, ethical considerations, and more. AI Tools and Applications for Women’s Safety not only sheds light on the promise of AI but also paves the way for informed discourse and meaningful action, ushering in a future defined by women's empowerment and security.



Computer Safety Reliability And Security


Computer Safety Reliability And Security
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Author : Barbara Gallina
language : en
Publisher: Springer
Release Date : 2018-09-03

Computer Safety Reliability And Security written by Barbara Gallina and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-03 with Computers categories.


This book constitutes the refereed proceedings of five workshops co-located with SAFECOMP 2018, the 37th International Conference on Computer Safety, Reliability, and Security, held in Västerås, Sweden, in September 2018. The 28 revised full papers and 21 short papers presented together with 5 introductory papers to each workshop were carefully reviewed and selected from 73 submissions. This year's workshops are: ASSURE 2018 – Assurance Cases for Software-Intensive Systems; DECSoS 2018 – ERCIM/EWICS/ARTEMIS Dependable Smart Embedded and Cyber-Physical Systems and Systems-of-Systems; SASSUR 2018 – Next Generation of System Assurance Approaches for Safety-Critical Systems; STRIVE 2018 – Safety, securiTy, and pRivacy In automotiVe systEms; and WAISE 2018 – Artificial Intelligence Safety Engineering. The chapter '“Boxing Clever”: Practical Techniques for Gaining Insights into Training Data and Monitoring Distribution Shift' is available open access under an Open Government License via link.springer.com.



Artificial Superintelligence


Artificial Superintelligence
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Author : Roman V. Yampolskiy
language : en
Publisher: MDPI
Release Date : 2020-04-30

Artificial Superintelligence written by Roman V. Yampolskiy and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-30 with Technology & Engineering categories.


Attention in the AI safety community has increasingly started to include strategic considerations of coordination between relevant actors in the field of AI and AI safety, in addition to the steadily growing work on the technical considerations of building safe AI systems. This shift has several reasons: Multiplier effects, pragmatism, and urgency. Given the benefits of coordination between those working towards safe superintelligence, this book surveys promising research in this emerging field regarding AI safety. On a meta-level, the hope is that this book can serve as a map to inform those working in the field of AI coordination about other promising efforts. While this book focuses on AI safety coordination, coordination is important to most other known existential risks (e.g., biotechnology risks), and future, human-made existential risks. Thus, while most coordination strategies in this book are specific to superintelligence, we hope that some insights yield “collateral benefits” for the reduction of other existential risks, by creating an overall civilizational framework that increases robustness, resiliency, and antifragility.



Computer Safety Reliability And Security Safecomp 2021 Workshops


Computer Safety Reliability And Security Safecomp 2021 Workshops
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Author : Ibrahim Habli
language : en
Publisher: Springer Nature
Release Date : 2021-08-25

Computer Safety Reliability And Security Safecomp 2021 Workshops written by Ibrahim Habli and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-25 with Computers categories.


This book constitutes the proceedings of the Workshops held in conjunction with SAFECOMP 2021, the 40th International Conference on Computer Safety, Reliability and Security, which took place in York, UK, in September 2021. The 26 regular papers included in this volume were carefully reviewed and selected from 34 submissions. The workshops included in this volume are: DECSoS 2021: 16th Workshop on Dependable Smart Embedded and Cyber-Physical Systems and Systems-of-Systems WAISE 2021: Fourth International Workshop on Artificial Intelligence Safety Engineering DepDevOps 2021: Second International Workshop on Dependable Development-Operation Continuum Methods for Dependable Cyber-Physical Systems USDAI 2021: Second International Workshop on Underpinnings for Safe Distributed AI MAPSOD 2021: First International Workshop on Multi-concern Assurance Practices in Software Design



Artificial Intelligence In Highway Safety


Artificial Intelligence In Highway Safety
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Author : Subasish Das
language : en
Publisher: CRC Press
Release Date : 2022-09-29

Artificial Intelligence In Highway Safety written by Subasish Das and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-29 with Computers categories.


Artificial Intelligence in Highway Safety provides cutting-edge advances in highway safety using AI. The author is a highway safety expert. He pursues highway safety within its contexts, while drawing attention to the predictive powers of AI techniques in solving complex problems for safety improvement. This book provides both theoretical and practical aspects of highway safety. Each chapter contains theory and its contexts in plain language with several real-life examples. It is suitable for anyone interested in highway safety and AI and it provides an illuminating and accessible introduction to this fast-growing research trend. Material supplementing the book can be found at https://github.com/subasish/AI_in_HighwaySafety. It offers a variety of supplemental materials, including data sets and R codes.



Software Engineering Artificial Intelligence Compliance And Security


Software Engineering Artificial Intelligence Compliance And Security
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Author : Brian D'Andrade
language : en
Publisher:
Release Date : 2021-02-16

Software Engineering Artificial Intelligence Compliance And Security written by Brian D'Andrade and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-16 with categories.


Information security is important in every aspect of daily life. This book examines four areas where risks are present: artificial intelligence (AI), the internet of things (IoT), government and malware. The authors channel their experience and research into an accessible body of knowledge for consideration by professionals.AI is introduced as a tool for healthcare, security and innovation. The advantages of using AI in new industries are highlighted in the context of recent developments in mechanical engineering, and a survey of AI software risks is presented focusing on well-publicized failures and US FDA regulatory guidelines.The risks associated with the billions of devices that form the IoT grow with the availability of such devices in consumer products, healthcare, energy infrastructure and transportation. The risks, software engineering risk mitigation methods and standards promoting a level of care for the manufacture of IoT devices are examined because of their importance for software developers.Strategic insights for software developers looking to do business with the US federal government are presented, considering threats to both public and private sectors as well as governmental priorities from recent executive and legislative branch actions.Finally, an analysis of malicious software that infects numerous computer systems each day and causes millions of dollars in damages every year is presented. Malicious software, or "malware," is software designed with hostile intent, but the damage may be mitigated with static and dynamic analyses, which are processes for studying how malware operates and analyzing potential impacts.