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"Artificial intelligence Safety measures."
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Artificial Intelligence and Global Security
Artificial Intelligence and Global Security: Future Trends, Threats and Considerations brings a much-needed perspective on the impact of the integration of Artificial Intelligence (AI) technologies in military affairs. Experts forecast that AI will shape future military operations in ways that will revolutionize warfare.
eBook
Artificial intelligence safety and security
This book includes 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 would be the first to address challenges of constructing safe and secure artificially intelligent systems. No similar book currently exists that concentrates on technical aspects of this research from the computer science point of view. Competing books are aimed at general/non-professional audiences from a philosophical point of view-- Provided by publisher.
Book
Human compatible : artificial intelligence and the problem of control
\"In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable. In this groundbreaking book, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines. He describes the near-term benefits we can expect, from intelligent personal assistants to vastly accelerated scientific research, and outlines the AI breakthroughs that still have to happen before we reach superhuman AI. He also spells out the ways humans are already finding to misuse AI, from lethal autonomous weapons to viral sabotage. If the predicted breakthroughs occur and superhuman AI emerges, we will have created entities far more powerful than ourselves. How can we ensure they never, ever, have power over us? Russell suggests that we can rebuild AI on a new foundation, according to which machines are designed to be inherently uncertain about the human preferences they are required to satisfy. Such machines would be humble, altruistic, and committed to pursue our objectives, not theirs. This new foundation would allow us to create machines that are provably deferential and provably beneficial. In a 2014 editorial co-authored with Stephen Hawking, Russell wrote, \"Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last.\" Solving the problem of control over AI is not just possible; it is the key that unlocks a future of unlimited promise\"-- Provided by publisher.
Book
Integrating Artificial Intelligence and Machine Learning with Blockchain Security
Due to its transparency and dependability in secure online transactions, blockchain technology has grown in prominence in recent years. Several industries, including those of finance, healthcare, energy and utilities, manufacturing, retail marketing, entertainment and media, supply chains, e-commerce, and e-business, among others, use blockchain technology.In order to enable intelligent decision-making to prevent security assaults, particularly in permission-less blockchain platforms, artificial intelligence (AI) techniques and machine learning (ML) algorithms are used. By exploring the numerous use cases and security methods used in each of them, this book offers insight on the application of AI and ML in blockchain security principles. The book argues that it is crucial to include artificial intelligence and machine learning techniques in blockchain technology in order to increase security.
eBook
Taming Silicon Valley : how we can ensure that AI works for us
\"An expert on AI safety explains what we must do now to minimize the serious harms and threats that AI poses while realizing its benefits for society\"-- Provided by publisher.
BOOK
The role of artificial intelligence and machine learning in wireless networks security: principle, practice and challenges
Security is one of the biggest challenges concerning networks and communications. The problem becomes aggravated with the proliferation of wireless devices. Artificial Intelligence (AI) has emerged as a promising solution and a volume of literature exists on the methodological studies of AI to resolve the security challenge. In this survey, we present a taxonomy of security threats and review distinct aspects and the potential of AI to resolve the challenge. To the best of our knowledge, this is the first comprehensive survey to review the AI solutions for all possible security types and threats. We also present the lessons learned from the existing AI techniques and contributions of up-to-date literature, future directions of AI in security, open issues that need to be investigated further through AI, and discuss how AI can be more effectively used to overcome the upcoming advanced security threats.
Journal Article
A Review of Recent Developments in Driver Drowsiness Detection Systems
Continuous advancements in computing technology and artificial intelligence in the past decade have led to improvements in driver monitoring systems. Numerous experimental studies have collected real driver drowsiness data and applied various artificial intelligence algorithms and feature combinations with the goal of significantly enhancing the performance of these systems in real-time. This paper presents an up-to-date review of the driver drowsiness detection systems implemented over the last decade. The paper illustrates and reviews recent systems using different measures to track and detect drowsiness. Each system falls under one of four possible categories, based on the information used. Each system presented in this paper is associated with a detailed description of the features, classification algorithms, and used datasets. In addition, an evaluation of these systems is presented, in terms of the final classification accuracy, sensitivity, and precision. Furthermore, the paper highlights the recent challenges in the area of driver drowsiness detection, discusses the practicality and reliability of each of the four system types, and presents some of the future trends in the field.
Journal Article