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dc.contributor.authorCappelen, Herman
dc.contributor.authorDever, Josh
dc.date.accessioned2021-05-25T11:57:18Z
dc.date.available2021-05-25T11:57:18Z
dc.date.issued2021
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/48783
dc.description.abstractCan humans and artificial intelligences share concepts and communicate? One aim of Making AI Intelligible is to show that philosophical work on the metaphysics of meaning can help answer these questions. Cappelen and Dever use the externalist tradition in philosophy of to create models of how AIs and humans can understand each other. In doing so, they also show ways in which that philosophical tradition can be improved: our linguistic encounters with AIs revel that our theories of meaning have been excessively anthropocentric. The questions addressed in the book are not only theoretically interesting, but the answers have pressing practical implications. Many important decisions about human life are now influenced by AI. In giving that power to AI, we presuppose that AIs can track features of the world that we care about (e.g. creditworthiness, recidivism, cancer, and combatants.) If AIs can share our concepts, that will go some way towards justifying this reliance on AI. The book can be read as a proposal for how to take some first steps towards achieving interpretable AI. Making AI Intelligible is of interest to both philosophers of language and anyone who follows current events or interacts with AI systems. It illustrates how philosophy can help us understand and improve our interactions with AI.en_US
dc.languageEnglishen_US
dc.subject.classificationbic Book Industry Communication::P Mathematics & science::PD Science: general issues::PDA Philosophy of scienceen_US
dc.subject.classificationbic Book Industry Communication::C Language::CF linguistics::CFA Philosophy of languageen_US
dc.subject.classificationbic Book Industry Communication::H Humanities::HP Philosophy::HPM Philosophy of minden_US
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligenceen_US
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer scienceen_US
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PD Science: general issues::PDA Philosophy of scienceen_US
dc.subject.classificationthema EDItEUR::C Language and Linguistics::CF Linguistics::CFA Philosophy of languageen_US
dc.subject.classificationthema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDT Topics in philosophy::QDTM Philosophy of minden_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligenceen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer scienceen_US
dc.subject.otherartificial intelligence, philosophy of language, communication, deep learning, AIen_US
dc.titleMaking AI Intelligibleen_US
dc.title.alternativePhilosophical Foundationsen_US
dc.typebook
oapen.identifier.doi10.1093/oso/9780192894724.001.0001en_US
oapen.relation.isPublishedByb9501915-cdee-4f2a-8030-9c0b187854b2en_US
oapen.relation.isFundedBy80dcc9f9-67a9-4cd8-b67b-6d0f447d7b68en_US
oapen.relation.isbn9780192894724
oapen.pages192en_US
oapen.place.publicationOxforden_US


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