Artificial Intelligence Safety: Fundamentals and Applications
About this ebook
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.
