#5 what is a vehicle?
"AI" is a misunderstood word, but it's not alone. In this video, we break down the "open texture" of language and explore how it affects the legal semantic space. By examining definition sections in the Motor Vehicles Act, we see how the law tries — and ultimately fails — to arrest meaning. This leads us to a new model for understanding legal language through "nodes", "tokens," "source graphs" and "concept graphs". #AI #Language #Philosophy #Law #LegalTech #ArtificialIntelligence #Linguistics #Semantics #LegalPhilosophy #TechEthics #Explainer
Video Chapters
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0:03 The "Vehicle" Analogy 1:07 Hart's Puzzle: No Vehicles in the Park 3:00 The "Open Texture" of Language 3:58 When Legal Definitions Get Complicated 4:51 The Ultimate Edge Case: Is a Bus a Bus? Timestamps by StampBot 🤖 (336-5-what-is-a-vehicle)
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0:03 An alternate universe explains the confusion of a single collective noun 0:18 Conversations are confusing when people use only one collective noun, "vehicle" 0:51 Replacing "vehicle" with "artificial intelligence" describes our current world 1:07 Hart's "no vehicle in the park" rule illustrates linguistic indeterminacy 2:28 Legislating aims to make initial goals more determinate over time 2:43 Words have a core fixed meaning and a penumbra of doubt 3:00 This linguistic phenomenon is known as the "open texture of language" 3:32 Hart explains how determinacy runs out for laws, leading to edge cases 3:58 Real-world laws like the Motor Vehicles Act show definitional complexity 4:03 Mapping keywords, triggered nodes, and replicable sequences for legal areas 4:20 Definition sections provide anchoring relationships between legal concepts 4:51 The "educational institution bus" highlights natural vs legal language boundaries 5:13 Linear determinacy branches into indeterminacies, requiring individual annotations 5:46 The legal semantic space comprises various nodes and tokens interconnectedly Timestamps by StampBot 🤖 (336-5-what-is-a-vehicle)