Journal of Information Technology Case and Application Research· 2023Q3
Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration
- 1,237citations
- Q3SCImago
- 2023year
Short summary
ChatGPT's 2022 release has reignited global interest in Artificial Intelligence (AI), marking a significant comeback after periods of stagnation.
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Key points
- AI is defined as a system's ability to interpret external data, learn from it, and adapt to achieve goals.
- AI development has experienced cycles of progress and stagnation, including 'AI winters'.
- Recent breakthroughs like AlphaGo (2015) and ChatGPT (2022) have revitalized interest in AI.
- ChatGPT's release by OpenAI in late 2022 has garnered significant global attention.
AI-generated from the title and abstract; the full text is not read.
Abstract
Artificial intelligence (AI) has elicited much attention across disciplines and industries (Hyder et al., Citation2019). AI has been defined as “a system’s ability to correctly interpret external data, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation” (Kaplan & Haenlein, Citation2019, p. 15). AI has gone through several development stages and AI winters. In the first two decades (i.e., 1950s and 1960s), AI demonstrated success which included programs such as General Problem Solver (Newell et al., Citation1959) and ELIZA (Weizenbaum, Citation1966). However, limitations in processing capacity and reduced spending on AI turned its development into stagnation. In recent years, AI has made a comeback with the introduction of AlphaGo in 2015 and ChatGPT in 2022. Following the release of the application named “Chat Generative Pre-trained Transformer” or ChatGPT by OpenAI in late 2022, AI has attracted worldwide attention.
The authors' abstract, as published at the source. Journal of Information Technology Case and Application Research, 2023 · DOI ↗
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Field: Health Informatics
Health InformaticsMedicine