Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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1 |
Material Type: Report
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Submission in response to the Australian Government's 'Safe and Responsible AI in Australia: Discussion Paper'Sheard, Natalie ; Group, Australian Discrimination Law ExpertsLa Trobe 2024Texto completo disponível |
2 |
Material Type: Report
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Deep Discoveries: A Towards a National Collection Foundation Project Final ReportAngelova, Lora ; Ogden, Bernard ; Craig, Jack ; Chandrapal, Hari ; Manandhar, DipuZenodo 2021Texto completo disponível |
3 |
Material Type: Report
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Urban AI GuidePopelka, Sarah ; Narvaez Zertuche, Laura ; Beroche, HubertZenodo 2023Texto completo disponível |
4 |
Material Type: Report
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Report on the Conjoint Workshop: IMT Scuola Alti Studi and the University of Virginia School of Data ScienceWright, Brian ; Guadagni, Gianluca ; Van Horn, John ; Brown, DonUniversity of Virginia 2024Texto completo disponível |
5 |
Material Type: Report
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Eyes and Ears on the Test Bench - Condensed version of the TA-SWISS study, "Deepfakes and Manipulated Realities"Rey, LucienneTA-SWISS 2024Texto completo disponível |
6 |
Material Type: Report
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Augen und Ohren auf dem Prüfstand - Kurzfassung der Studie von TA-SWISS «Deepfakes und manipulierte RealitätenRey, LucienneTA-SWISS 2024Texto completo disponível |
7 |
Material Type: Report
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Nos yeux et nos oreilles à l'épreuve - Synthèse de l'étude de TA-SWISS « Deepfakes et réalités manipuléesRey, LucienneTA-SWISS 2024Texto completo disponível |
8 |
Material Type: Report
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Tackling problems, harvesting benefits: A systematic review of the regulatory debate around AIFolberth, Anja ; Jahnel, Jutta ; Bareis, Jascha ; Orwat, Carsten ; Wadephul, ChristianKarlsruher Institut für Technologie (KIT) 2022Texto completo disponível |
9 |
Material Type: Report
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Human-Game AI Interaction (Dagstuhl Seminar 22251)Ashlock, Dan ; Maghsudi, Setareh ; Liebana, Diego Perez ; Spronck, Pieter ; Eberhardinger, ManuelSchloss Dagstuhl – Leibniz-Zentrum für Informatik 2023Texto completo disponível |
10 |
Material Type: Report
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Machine Learning for Science: Bridging Data-Driven and Mechanistic Modelling (Dagstuhl Seminar 22382)Berens, Philipp ; Cranmer, Kyle ; Lawrence, Neil D. ; von Luxburg, Ulrike ; Montgomery, JessicaSchloss Dagstuhl – Leibniz-Zentrum für Informatik 2023Texto completo disponível |