Handbook of Human-AI Collaboration (Запис № 579893)

МАРК-запис
000 -LEADER
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001 - CONTROL NUMBER
control field 978-3-031-61050-9
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260304124526.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031610509
-- 978-3-031-61050-9
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-61050-9
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q295
072 #7 - SUBJECT CATEGORY CODE
Subject category code GPFC
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code SCI064000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code GPFC
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 530.1
Edition number 23
245 10 - TITLE STATEMENT
Title Handbook of Human-AI Collaboration
Medium [electronic resource] /
Statement of responsibility, etc edited by Mohamed Chetouani, Andrzej Nowak, Paul Lukowicz.
264 #1 -
-- Cham :
-- Springer Nature Switzerland :
-- Imprint: Springer,
-- 2026.
300 ## - PHYSICAL DESCRIPTION
Extent XX, 980 p. 40 illus., 20 illus. in color.
Other physical details online resource.
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-- online resource
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505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Section 1: Foundations of Foundation Models -- Section 2: Foundations of Human AI Collaboration -- Section 3: Multimodal Foundation Models -- Section 4: Learning and reasoning with Foundation Models -- Section 5: Interaction with Foundation Models -- Section 6: Society-Large Whatever Models Interaction -- Section 7: Ethical and legal aspects of Foundation Models -- Section 8: Critical roadmap on collaborative foundation models.
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
520 ## - SUMMARY, ETC.
Summary, etc This Open Access book presents the historical evolution of artificial neural networks and the principles that underpin deep learning. It introduces the main concepts of Foundation Models employed in Large Language Models (LLMs) and more generally in Large Whatever Models (LWMs). It addresses the crucial need for explainability in both language and hybrid models, projecting future directions in the field. The work extends beyond technical dimensions to explore the intricate dynamics of Human-AI Collaboration, from the foundations of human-centered AI methodologies to generalized AI-human intelligence. The book explores challenges of multimodal foundation models in particular when it comes to multimodal perception, generation and embodiment. Contributors delve into topics such as complex reasoning, planning, argumentation, and applications in education and personal growth. Human-Large Whatever Models Interaction is examined in the context of co-adaptation, co-evolution, and the reciprocal influence between AI and human cognition, emotions, and behaviours. Benchmarking criteria and datasets for evaluation are discussed, providing insights into the evolving landscape of human-AI interaction. The societal impact of foundation models is explored in-depth, considering the dynamics of AI-driven techno-social systems, role distribution in AI-human collaborations, and the long-term implications on society. Ethical and legal aspects encompass conceptual backgrounds, metrics, and regulatory frameworks. The critical roadmap on foundation models addresses diverse stakeholders, including policy and decision-makers, the public sector, researchers, and developers. As the book unfolds, it illuminates the intricate interplay between society and foundation models, providing a comprehensive overview of the past, present, and potential future trajectories of foundation models in the ever-evolving landscape of artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element System theory.
9 (RLIN) 260
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Neural networks (Computer science) .
9 (RLIN) 11310
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Complex Systems.
9 (RLIN) 267
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical Models of Cognitive Processes and Neural Networks.
9 (RLIN) 11312
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Chetouani, Mohamed.
Relator term editor.
-- (orcid)0000-0002-2920-4539
-- https://orcid.org/0000-0002-2920-4539
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 23841
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Nowak, Andrzej.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 6957
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lukowicz, Paul.
Relator term editor.
-- (orcid)0000-0003-0320-6656
-- https://orcid.org/0000-0003-0320-6656
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 23842
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature Living Reference
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-61050-9">https://doi.org/10.1007/978-3-031-61050-9</a>
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