Digital epistemology: a research programme motivated -- From digital information to digital knowledge -- The nature of digital knowledge: a bi-level account -- The dark side of digital knowledge: scepticism and defeat -- A digital epistemology of machine learning -- A digital epistemology of big data.

"Big data, machine learning and mobile communications are rapidly changing the volume and nature of information we receive. Such transformations have massive implications for what we can know: Knowledge itself is increasingly digitised. Digital Knowledge: A Philosophical Investigation is the first book to fully explain and examine digital knowledge: what it is, how it compares to received theories of knowledge and where it is going. Beginning with an overview of key concepts in the theory of knowledge, J. Adam Carter explains and assesses the following topics: How is mere digital information converted into reliable digital knowledge? The role of extended cognition and virtue epistemology in digital knowledge How do we know what is virtual and what is real? Does digital knowledge disrupt understanding of long-standing epistemological questions, such as luck and scepticism? What is the implication of machine learning for epistemology? How is big data changing what we know and applying knowledge about us and our preferences? The implications of digital knowledge for the Digital Humanities. Using fascinating examples throughout, such as the recent chess match between Stockfish and Google's Alpha Zero, smartphones and personalisation and including helpful features such as chapter summaries and annotated further reading, Digital Knowledge: A Philosophical Investigation is an ideal starting place for anyone studying this fascinating topic"-- Provided by publisher.

OCLC-licensed vendor bibliographic record.