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{ "item_title" : "Architecting Human-Centric AI Systems", "item_author" : [" Gill Asif "], "item_description" : "This comprehensive book provides the practical AI-enabled human-centric adaptive intelligent enterprise architecture (AIEA) framework for architecting human-centric AI systems for scalable augmented intelligence. The AIEA framework includes several contemporary concepts and practices such as trimodal thinking, human-centric intelligence design, ArcOps and cognition architecture.This volume also unpacks the critical cross-layer domains of human-AI integration, trustworthiness, resiliency and observability. It discusses the topics of digital twin, intelligence design canvas, intelligence design reference model, and intelligence design technology reference model.The useful reference text benefits professionals, academics, researchers, and postgraduate students in the fields of AI/ML, software engineering and databases.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/81/983/282/9819832829_b.jpg", "price_data" : { "retail_price" : "98.00", "online_price" : "98.00", "our_price" : "98.00", "club_price" : "98.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Architecting Human-Centric AI Systems|Gill Asif

Architecting Human-Centric AI Systems

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Overview

This comprehensive book provides the practical AI-enabled human-centric adaptive intelligent enterprise architecture (AIEA) framework for architecting human-centric AI systems for scalable augmented intelligence. The AIEA framework includes several contemporary concepts and practices such as trimodal thinking, human-centric intelligence design, ArcOps and cognition architecture.

This volume also unpacks the critical cross-layer domains of human-AI integration, trustworthiness, resiliency and observability. It discusses the topics of digital twin, intelligence design canvas, intelligence design reference model, and intelligence design technology reference model.

The useful reference text benefits professionals, academics, researchers, and postgraduate students in the fields of AI/ML, software engineering and databases.

This item is Non-Returnable

Details

  • ISBN-13: 9789819832828
  • ISBN-10: 9819832829
  • Publisher: World Scientific Publishing Company
  • Publish Date: October 2026
  • Dimensions: 9 x 6 x 0.81 inches
  • Shipping Weight: 1.32 pounds
  • Page Count: 240

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