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Learn about the ethical challenges and principles of AI, such as machine ethics, robot ethics, algorithmic biases, and existential risks. Explore the topics, applications, and examples of AI ethics from various perspectives and sources.
Explainable artificial intelligence (XAI) is the ability to understand and explain the reasoning behind AI decisions or predictions. XAI aims to improve trust, transparency, and accountability of AI systems, and to overcome the "black box" problem of machine learning.
Prompt engineering is the process of structuring natural language text that can be understood by a generative AI model. Learn about different techniques, such as chain-of-thought, chain-of-symbol, and few-shot learning, that enable in-context learning and improve reasoning ability.
Commonsense knowledge can underpin a commonsense reasoning process, to attempt inferences such as "You might bake a cake because you want people to eat the cake." A natural language processing process can be attached to the commonsense knowledge base to allow the knowledge base to attempt to answer questions about the world. [2]
Artificial intelligence (AI) is intelligence exhibited by machines, particularly computer systems. It is a field of research that develops and studies methods and software that enable machines to perceive, learn, and act in their environment.
In fact, the Code's reference to Hippocratic duty to the individual patient and the need to provide information was not initially favored by the American Medical Association. [14] Katz observes that the Western world initially dismissed the Nuremberg Code as a "code for barbarians, but unnecessary (or superfluous) for ordinary physicians."
AI systems can be used to explain the mind; [18] The study of the brain is irrelevant to the study of the mind; [ g ] and The Turing test is adequate for establishing the existence of mental states.
This is an accepted version of this page This is the latest accepted revision, reviewed on 16 September 2024. Set of software development practices DevOps is a methodology in the software development and IT industry. Used as a set of practices and tools, DevOps integrates and automates the work of software development (Dev) and IT operations (Ops) as a means for improving and shortening the ...