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Artificial intelligence. 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 ...
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. [1]
AI has been slowly making its presence more known throughout the world, from chat bots that seemingly have answers for every homework question to Generative artificial intelligence that can create a painting about whatever one desires. AI has become increasingly popular in hiring markets, from the ads that target certain people according to ...
Determining the ownership of AI systems and models within an organization is a critical starting point. The AI owner, often a senior business leader, assumes ultimate accountability to ensure the ...
v. t. e. Regulation of artificial intelligence is the development of public sector policies and laws for promoting and regulating artificial intelligence (AI). It is part of the broader regulation of algorithms. [1] [2] The regulatory and policy landscape for AI is an emerging issue in jurisdictions worldwide, including for international ...
The generative AI space remains healthy — it raised $1.3 billion in venture funding through November 2022, according to PitchBook, up 15% from the year prior. But the legal questions are ...
The tech giant opened up access to its AI chatbot in March, though it still has a ways to go to reach the popularity that ChatGPT is enjoying today. To note, ChatGPT has the ability to write and ...
Natural language understanding. Natural language understanding ( NLU) or natural language interpretation ( NLI) [1] is a subset of natural language processing in artificial intelligence that deals with machine reading comprehension. NLU has been considered an AI-hard problem. [2]
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