首页|AI Thinking: A framework for rethinking artificial intelligence in practice
AI Thinking: A framework for rethinking artificial intelligence in practice
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from os f.io: “Artificial intelligence is transforming the way we work with information across disciplines and practical contexts. “A growing range of disciplines are now involved in studying, developing, and as sessing the use of AI in practice, but these disciplines often employ conflictin g understandings of what AI is and what is involved in its use. New, interdiscip linary approaches are needed to bridge competing conceptualisations of AI in pra ctice and help shape the future of AI use. I propose a novel conceptual framewor k called AI Thinking, which models key decisions and considerations involved in AI use across disciplinary perspectives. The AI Thinking model addresses five pr actice-based competencies involved in applying AI in context: motivating AI use in information processes, formulating AI methods, assessing available tools and technologies, selecting appropriate data, and situating AI in the sociotechnical contexts it is used in.
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