Artificial Intelligence

Volume: 4

Pages: V4:3-V4:11

DOI: 10.1016/B978-0-323-95689-5.00098-5

Abstract:

Artificial Intelligence (AI) is attracting considerable, and justified, attention about its potential and impact on information systems. However, it is important to look at this evolution against its history. AI’s historical evolution has been beset with underperformance and ethical concerns in data training and responsible deployment. Information science has undergone significant changes with AI׳s integration, impacting information retrieval, classification, and library automation. More specifically Machine Learning plays a crucial role in understanding human requirements for information and processing large data set, but challenges like bias persist. Large Language Models (LLMs) like ChatGPT represent the vanguard of public adoption of AI driven information systems and have exhibited remarkable performance in natural language processing. While they enhance information searching and content creation, users must understand limitations, biases, and practice critical thinking for responsible utilisation in a digital age.

Source: Scopus

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