limitations (expert system)

Terms from Artificial Intelligence: humans at the heart of algorithms

The glossary is being gradually proof checked, but currently has many typos and misspellings.

While expert systems have been one of the earliest forms of successful AI, they have limitations in terms of:


Many expert systems now include neural networks for decision making (e.g. spotting abnormalities in X-rays) and may use large-language models as part of their user interface. This can help with (i) and (iii), but makes (ii) and (iv) even more difficult.

Used in Chap. 18: page 277