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Towards the Operationalization of Trustworthy AI: Integrating the EU Assessment List into a Procedure Model for the Development and Operation of AI-Systems 

INFORMATIK 2022 Kortum,Henrik; Rebstadt,Jonas; Böschen,Tula; Meier,Pascal; Thomas,Oliver
Artificial intelligence (AI) is increasingly permeating all areas of life and not only changing coexistence in society for the better. Unfortunately, there is an increasing number of examples where AI systems show problematic behavior, such as discrimination or insufficient accuracy, missing data privacy or transparency. ...

Using Machine Learning to Predict POI Occupancy to Reduce Overcrowding 

INFORMATIK 2022 Bollenbach,Jessica; Neubig,Stefan; Hein,Andreas; Keller,Robert; Krcmar,Helmut
Due to the rapid growth of the tourism industry, associated effects like overcrowding, overtourism, and increasing greenhouse gas emissions lead to unsustainable development. A prerequisite for avoiding those adverse effects is the prediction of occupancy. The present study elaborates on the applicability and performance ...

Erfahrungsbericht aus dem Forschungsdatenmanagement in Bezug auf elektronische Laborbücher 

INFORMATIK 2022 Zulauf,Bert; Knipprath,Nina
An deutschen Universitäten und Fachhochschulen erschließt sich aktuell im Bereich der Struktur und des Aufbaus von Laborarbeit eine neue Arbeitsweise: Dokumentation mittels elektronischer Laborbücher (ELB). Forschende produzieren und nutzen eine bunte Mischung an Daten wie Grafikdateien, Formeln, Tabellen oder ...

Application-specific quality metrics for the assessment of data for deep learning from large datasets 

INFORMATIK 2022 Götte,Gesa Marie; Thielert,Bonito Steffen; Herzog,Andreas
Application-specific quality metrics support getting suitable data from large databases to pre-train deep neural networks or getting good statistical measures. Especially when using high-dimensional or multimodal sensor data from industrial processes the small amount of training examples from each device or plant must ...

‘Not all algorithms!' Lessons from the Private Sector on Mitigating Gender Discrimination 

INFORMATIK 2022 Winkler,Mareike; Köhne,Sonja; Klöpper,Miriam
In the public sector, the use of algorithmic decision-making (ADM) systems can be directly linked to crucial state assistance, such as welfare benefits. Prominent examples such as an algorithm of the Public Employment Service Austria, that predicted below-average placement chances for women, underline the high risks of ...

A modular control architecture for safe and robust robot operation and inspection in steep slope vineyards 

INFORMATIK 2022 Gassen,Eike; Wolf,Patrick; Berns,Karsten
In fall line cultivation of vineyards, the vines are planted vertically to the hill's slope. Therefore, steep slope vineyards require a high amount of manual labor, doubling production costs. Working in such environments is exhausting and laborious. Therefore, autonomous robots should assist humans in reducing costs and ...
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Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
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Author

Marx Gómez,Jorge (6)Thomas,Oliver (5)Waedt,Karl (5)Beckmann,Helmut (4)Lässig,Jörg (4)Belaidi,Siwar (3)Kortum,Henrik (3)Labudde,Dirk (3)Lucke,Ulrike (3)Müssig,Daniel (3)... View More

Subject

Digitalisierung (7)Machine Learning (7)Datenschutz (6)Nachhaltigkeit (5)Landwirtschaft (4)machine learning (4)Quantum Computing (4)Data Ecosystem (3)E-Mail (3)Ethik (3)... View More

Date Issued

2022 (146)

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Yes (146)

About uns | FAQ | Help | Imprint | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.