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  1. Transparent matching mechanisms
    Author: Möller, Markus
    Published: May 2024
    Publisher:  ECONtribute, [Bonn]

    I study a central authority's ability to commit to a publicly announced mechanism in a one-to-one agent-object matching model. The authority announces a strategy-proof mechanism and then privately selects a mechanism to initiate a matching. An... more

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    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    DS 711
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    I study a central authority's ability to commit to a publicly announced mechanism in a one-to-one agent-object matching model. The authority announces a strategy-proof mechanism and then privately selects a mechanism to initiate a matching. An agent's observation in form of the final matching has an innocent explanation (Akbarpour and Li, 2020), if given the agent's reported preferences, there is a combination with other agents' preferences leading to an identical observation under the announced mechanism. The authority can only commit up to safe deviations (Akbarpour and Li, 2020)-mechanisms that produce only observations with innocent explanations. For efficient or stable announcements, I show that no safe deviation exists if and only if the announced mechanism is dictatorial. I establish that the Deferred Acceptance (DA) Mechanism (Gale and Shapley, 1962) implies commitment to stability. Finally, I show that group strategy-proof and efficient announcements allow commitment to efficiency only if they are dictatorial.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/296248
    Series: ECONtribute discussion paper ; no. 306
    Subjects: Matching; Transparency; Partial Commitment; Strategy-Proof; Stability; Efficiency; DA; TTC
    Scope: 1 Online-Ressource (circa 34 Seiten)
  2. AI Act compact
    Compliance, management & use cases in corporate practice
    Author: Hense, Peter; Mustać, Tea
    Published: 2025
    Publisher:  Fachmedien Recht und Wirtschaft in Deutscher Fachverlag GmbH, Frankfurt

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9783800519606; 3800519607
    Other identifier:
    9783800519606
    Edition: 1. Auflage 2025
    Series: InTeR-Schriftenreihe
    Other subjects: (Produktform)Paperback / softback; (Zielgruppe)The book serves as an introduction and reference work for lawyers and non-lawyers in companies, public authorities and consulting firms; EU AI Act; KI-Verordnung; künstliche Intelligenz; Konformitätsprüfung; Risikoklassen; Datenqualität; Diskriminierungsverbot; Rechenschaftspflicht; Trainingsdaten; Datenschutz; Tea Mustac; Peter Hense; Buch Recht; Bücher für Juristen; Deutsche Gesetze Buch; Deutscher Fachverlag GmbH; Fachmedien Recht und Wirtschaft; Fachmedien Recht und Wirtschaft; Fachbuch Recht; Fachbuch Verlag; Fachbücher Recht; Fachliteratur Recht; Gesetzbuch bestellen; Gesetze Buch; Gesetze Bücher; Gesetze kaufen; Jura Bücher; Jura Recht; juristische Bücher; juristische Literatur; juristischer Fachverlag; Nachschlagewerk; Nachschlagewerk Recht; Recht; Buch Recht und Wirtschaft; Recht und Wirtschaft; Verlag Recht; Verlag Recht; Recht und Wirtschaft; Verlag Recht und Wirtschaft Frankfurt; Compliance Management; Compliance Literatur; Unternehmenspraxis; Use Cases; Rechtshandbuch; CDSMD; DSGVO; DGA; DA; DMA; Data Governance; Risk Management; EU AI Act; AI regulation; artificial intelligence; compliance testing; risk classes; data quality; non-discrimination; accountability; training data; data protection; (VLB-WN)1775: Hardcover, Softcover / Recht/Handelsrecht, Wirtschaftsrecht
    Scope: XIII, 316 Seiten, 21 cm x 14.8 cm, 437 g