The Inherent Brittleness of AI Sample Clauses

The Inherent Brittleness of AI. As noted in 2.5.1.1, current and near-future AI are narrow, in that they have a limited range of cognitive abilities and specialise in one or a few tasks. This in turn is a significant cause of brittleness, whereby systems do precisely but only what they are programmed/trained to do.217 Thus, while they typically exceed human performance in narrow domains – e.g. object recognition, or fast, accurate and precise responses to clearly-defined stimuli – they lack the ‘common sense’ to understand the broader context, and to adjust their outputs and behaviours accordingly. Consequently, when unexpected events occur, or the environment or context for action changes, errors and system failures often follow.218 Unlike humans, autonomous systems cannot discard their ‘instruction book’ and use ‘common sense’ to adapt to the situation at hand. Indeed, any programming based on such a premise will necessarily lack the precision and tangibility to be machine-executable.219 Accordingly, as a primer for the legal analysis in Chapters 3, 6 and 7, the following will highlight some of the main sources of AI brittleness.
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Related to The Inherent Brittleness of AI

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