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Duplicability: unlike human brains, AI software and models can be easily copied. Editability: the parameters and internal workings of an AI model can easily be modified, unlike the connections in a human brain. Memory sharing and learning: AIs may be able to learn from the experiences of other AIs in a manner more efficient than human learning.
Another application of AI is in human resources. AI can screen resumes and rank candidates based on their qualifications, predict candidate success in given roles, and automate repetitive communication tasks via chatbots. Job search. AI has simplified the recruiting /job search process for both recruiters and job seekers.
Because AI is a major factor in singularity risk, a number of organizations pursue a technical theory of aligning AI goal-systems with human values, including the Future of Humanity Institute, the Machine Intelligence Research Institute, the Center for Human-Compatible Artificial Intelligence, and the Future of Life Institute.
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals.
Explainable AI ( XAI ), often overlapping with interpretable AI, or explainable machine learning ( XML ), either refers to an artificial intelligence (AI) system over which it is possible for humans to retain intellectual oversight, or refers to the methods to achieve this. [1] [2] The main focus is usually on the reasoning behind the decisions ...
The term "robot ethics" (sometimes "roboethics") refers to the morality of how humans design, construct, use and treat robots. [14] Robot ethics intersect with the ethics of AI. Robots are physical machines whereas AI can be only software. [15] Not all robots function through AI systems and not all AI systems are robots.
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