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Produktbild: Bridging the Gap Between AI and Reality
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Bridging the Gap Between AI and Reality First International Conference, AISoLA 2023, Crete, Greece, October 23–28, 2023, Selected Papers

Aus der Reihe Lecture Notes in Computer Science
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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

31.10.2024

Herausgeber

Bernhard Steffen

Verlag

Springer

Seitenzahl

472

Maße (L/B/H)

23,5/15,5/2,7 cm

Gewicht

727 g

Sprache

Englisch

ISBN

978-3-031-73740-4

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

31.10.2024

Herausgeber

Bernhard Steffen

Verlag

Springer

Seitenzahl

472

Maße (L/B/H)

23,5/15,5/2,7 cm

Gewicht

727 g

Sprache

Englisch

ISBN

978-3-031-73740-4

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Bridging the Gap Between AI and Reality

  • 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.