Foundation, Architecture, and Prototyping of Humanized AI: A New Constructivist Approach

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Mark Chang (AMAG Pharmaceuticals, Inc, Lexington, Massachusetts, USA)

Foundation, Architecture, and Prototyping of Humanized AI

A New Constructivist Approach

Mark Chang (AMAG Pharmaceuticals, Inc, Lexington, Massachusetts, USA)

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Hardback

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English

Chapman & Hall/CRC
31 July 2023

Health & safety aspects of computing; Ethical & social aspects of computing; Legal aspects of computing; Artificial intelligence; Human-computer interaction

Humanized AI (HAI), emerging as the next of the AI waves, refers to artificial social beings that are very close to humans in various aspects, beings who are machine-race humans, not digital slaves. Foundation, Architecture, and Prototyping of HAI deploy a novel smalldata approach to vertically explore the spectrum of HAI.

Different from the popular big-data philosophy that is based on the rigid notion that the connotation of each concept is fixed and the same to everyone, this book treats understanding as a process from simple to complex, and uses the similarity principle to effectively deal with novelties. Combining the efficiency of the Behaviorists’ goal-driven approach and the flexibility of a Constructivists’ approach, both the architecture of HAI and the philosophical discussions arising from it are elaborated upon.

Advancing a unique approach to the concept of HAI, this book appeals to professors and students of both AI and philosophy, as well as industry professionals looking to stay at the forefront of developments within the field.

By: Mark Chang (AMAG Pharmaceuticals Inc Lexington Massachusetts USA)
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 254mm, Width: 178mm,
Weight: 1.000kg
ISBN: 9781032491578
ISBN 10: 1032491574
Pages: 372
Publication Date: 31 July 2023
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Active

Mark Chang, PhD, is the founder of AGInception and an adjunct professor of Biostatistics at Boston University. He is an elected fellow of the American Statistical Association, a co-founder of the International Society for Biopharmaceutical Statistics. He previously held various positions in pharmaceutical companies, including Scientific Fellow, executive Director, and Senior Vice President. He is an adaptive design expert and has extensive knowledge in AI for clinical trials. He has published 12 books on artificial intelligence & machine learning, adaptive clinical trial designs, biostatistics, and scientific principles.