Artificial intelligence can retrieve, combine, explain and apply enormous quantities of information. But when fluent output can also be false, what does it mean to know something?
When Information Looks Like Knowledge examines the widening gap between access to answers and the human ability to judge whether those answers are true. G B Edlin explores hallucination, evidence, belief, retrieval, tacit knowledge, embodied experience and automation bias, showing why a system that sounds certain may not be a knower that can stand behind its claims.
Clear, balanced and written for general readers, this book considers:
• why fluency is often mistaken for truth
• how evidence differs from plausible information
• the limits of retrieval and statistical prediction
• what tacit and embodied knowledge contribute
• how automation bias weakens verification
• practical habits for preserving judgment and responsibility
Neither anti-technology nor uncritically optimistic, When Information Looks Like Knowledge offers a durable framework for using generative AI without confusing a library that contains answers with a person who understands them.
This is Book 2 of The Borrowed Mind, a twelve-volume series about AI, human ability and the future of what we are.
"Sinopsis" puede pertenecer a otra edición de este libro.
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Paperback. Condición: new. Paperback. Artificial intelligence can retrieve, combine, explain and apply enormous quantities of information. But when fluent output can also be false, what does it mean to know something? When Information Looks Like Knowledge examines the widening gap between access to answers and the human ability to judge whether those answers are true. G B Edlin explores hallucination, evidence, belief, retrieval, tacit knowledge, embodied experience and automation bias, showing why a system that sounds certain may not be a knower that can stand behind its claims. Clear, balanced and written for general readers, this book considers: - why fluency is often mistaken for truth- how evidence differs from plausible information- the limits of retrieval and statistical prediction- what tacit and embodied knowledge contribute- how automation bias weakens verification- practical habits for preserving judgment and responsibility Neither anti-technology nor uncritically optimistic, When Information Looks Like Knowledge offers a durable framework for using generative AI without confusing a library that contains answers with a person who understands them. This is Book 2 of The Borrowed Mind, a twelve-volume series about AI, human ability and the future of what we are. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798170561049
Cantidad disponible: 1 disponibles
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9798170561049
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Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9798170561049
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. Neuware - Artificial intelligence can retrieve, combine, explain and apply enormous quantities of information. But when fluent output can also be false, what does it mean to know something When Information Looks Like Knowledge examines the widening gap between access to answers and the human ability to judge whether those answers are true. G B Edlin explores hallucination, evidence, belief, retrieval, tacit knowledge, embodied experience and automation bias, showing why a system that sounds certain may not be a knower that can stand behind its claims. Clear, balanced and written for general readers, this book considers: - why fluency is often mistaken for truth- how evidence differs from plausible information- the limits of retrieval and statistical prediction- what tacit and embodied knowledge contribute- how automation bias weakens verification>Neither anti-technology nor uncritically optimistic, When Information Looks Like Knowledge offers a durable framework for using generative AI without confusing a library that contains answers with a person who understands them. This is Book 2 of The Borrowed Mind, a twelve-volume series about AI, human ability and the future of what we are. Nº de ref. del artículo: 9798170561049
Cantidad disponible: 2 disponibles
Librería: CitiRetail, Stevenage, Reino Unido
Paperback. Condición: new. Paperback. Artificial intelligence can retrieve, combine, explain and apply enormous quantities of information. But when fluent output can also be false, what does it mean to know something? When Information Looks Like Knowledge examines the widening gap between access to answers and the human ability to judge whether those answers are true. G B Edlin explores hallucination, evidence, belief, retrieval, tacit knowledge, embodied experience and automation bias, showing why a system that sounds certain may not be a knower that can stand behind its claims. Clear, balanced and written for general readers, this book considers: - why fluency is often mistaken for truth- how evidence differs from plausible information- the limits of retrieval and statistical prediction- what tacit and embodied knowledge contribute- how automation bias weakens verification- practical habits for preserving judgment and responsibility Neither anti-technology nor uncritically optimistic, When Information Looks Like Knowledge offers a durable framework for using generative AI without confusing a library that contains answers with a person who understands them. This is Book 2 of The Borrowed Mind, a twelve-volume series about AI, human ability and the future of what we are. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798170561049
Cantidad disponible: 1 disponibles