Bridging the gap between AI and real...
International Conference on Bridging the Gap between AI and Reality (2023 :)

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  • Bridging the gap between AI and reality = first International Conference, AISoLA 2023, Crete, Greece, October 23-28, 2023 : selected papers /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Bridging the gap between AI and reality/ edited by Bernhard Steffen.
    其他題名: first International Conference, AISoLA 2023, Crete, Greece, October 23-28, 2023 : selected papers /
    其他題名: AISoLA 2023
    其他作者: Steffen, Bernhard.
    團體作者: International Conference on Bridging the Gap between AI and Reality
    出版者: Cham :Springer Nature Switzerland : : 2025.,
    面頁冊數: xi, 472 p. :ill. (some col.), digital ;24 cm.
    內容註: Digital Humanities and Cultural Heritage in AI and IT-enabled Environments -- Common Language for Accessibility, Interoperability, and Reusability in Historical Demography -- Coding historical causes of death data with Large Language Models -- Teaching the specialized language of Mathematics with a data-driven approach: what data do we use? -- Interoperating Civil Registration of Death and Census Data: Old Age and Marriage as Categories of Analysis -- From Data Science to Modular Workflows - Changing Perspectives from Data to Platform: DBDIrl 1864-1922 Case Study -- Mapping Madness: HGIS and the granular analysis of Irish patient records -- Digitised historical sources and non-digital humanists: an interdisciplinary challenge? -- Using Passive Sensing to Identify Depression -- The GraphBRAIN Framework for Knowledge Graph Management and its Applications to Cultural Heritage -- Challenges for AI in Healthcare Systems -- Towards a Multi-dimensional Health Data Analysis Framework -- Future Opportunities for Systematic AI Support in Healthcare -- CRISP-PCCP - A Development Methodology Supporting FDA Approval for Machine Learning Enabled Medical Devices -- Model Driven Development for AI-based Healthcare Systems: A Review -- Balancing Transparency and Risk: An Overview of the Security and Privacy Risks of Open-Source Machine Learning Models -- AI-related risk and uncertainty -- Leveraging Actionable Explanations to Improve People's Reactions to AI-based Decisions -- From Explanation Correctness to Explanation Goodness: Only Provably Correct Explanations can Save the World -- Thinking Outside the Box? Regulatory Sandboxes as a Tool for AI Regulation -- AI and Democratic Equality: How Surveillance Capitalism and Computational Propaganda Threaten Democracy -- Safeguarding AI-Based Software Development and Verification using Witnesses (Position Paper) -- End-to-End AI Generated Runtime Verification from Natural Language Specification -- AI-Assisted Programming with Test-based Refinement -- Safer Than Perception: Increasing Resilience of Automated Vehicles Against Misperception -- Towards ML-Integration and Training Patterns for AI-Enabled Systems -- The Reachability Problem for Neural-Network Control Systems.
    Contained By: Springer Nature eBook
    標題: Artificial intelligence - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-73741-1
    ISBN: 9783031737411
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