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Autor:
Wydyanto Wydyanto, Norshita Mat Nayan, Riza Sulaiman, Deshinta Arrova Dewi, Tri Basuki Kurniawan
Publikováno v:
Emerging Science Journal, Vol 8, Iss 1, Pp 218-238 (2024)
In order to create computer systems that can automatically read text from images or pictures, researchers focus on detecting and recognizing text in images. This issue is particularly difficult because images often have complicated backgrounds and a
Externí odkaz:
https://doaj.org/article/e6b04ac41df14276a4b7a9275e683f06
Autor:
Ana Amaro, Fernando Bacao
Publikováno v:
Emerging Science Journal, Vol 8, Iss 1, Pp 125-139 (2024)
In recent years, the field of Topic Modeling (TM) has grown in importance due to the increasing availability of digital text data. TM is an unsupervised learning technique that helps uncover latent semantic structures in large sets of documents, maki
Externí odkaz:
https://doaj.org/article/f56ccbe5f7754fd5a45125b7b10f3cb8
Publikováno v:
Emerging Science Journal, Vol 8, Iss 1, Pp 270-282 (2024)
This study proposes the use of Artificial Intelligence (AI) to automatize part of the legislative impact assessment process. In particular, the focus of this study is the automatic identification of administrative burdens from legislative documents.
Externí odkaz:
https://doaj.org/article/f982645c7cf64ace84db9e5fb7eb6925
Autor:
TATuP editorial office
Publikováno v:
TATuP – Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis, Vol 33, Iss 2 (2024)
Externí odkaz:
https://doaj.org/article/8d18744074204c7f8663838c8d10e85f
Publikováno v:
TATuP – Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis, Vol 33, Iss 2 (2024)
Externí odkaz:
https://doaj.org/article/7fa52332334f4e06bbd76b9aae855b8f
Autor:
Jessica Nuske
Publikováno v:
TATuP – Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis, Vol 33, Iss 2 (2024)
Externí odkaz:
https://doaj.org/article/ca0fae099154484481cb0c89eb959186
Autor:
Karen Kastenhofer
Publikováno v:
TATuP – Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis, Vol 33, Iss 2 (2024)
Externí odkaz:
https://doaj.org/article/4ff9fab1310b4761a576f337503e5ab0
Autor:
Wolfgang Eppler
Publikováno v:
TATuP – Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis, Vol 33, Iss 2 (2024)
Externí odkaz:
https://doaj.org/article/9cbd6ae1c46d4d8d80ba7753d0b73244
Autor:
Daniel Peter Beume, Hironori Matsuzaki, Isabel Schön, Sven Ziegler, Luisa Häfner, Mareike Tabea Jansen
Publikováno v:
TATuP – Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis, Vol 33, Iss 2 (2024)
This article presents the results of a self-reflective analysis of the role of research on ethical, legal, and social implications (ELSI) in projects that aim to develop and implement technology solutions for care. Four perspectives of ELSI research
Externí odkaz:
https://doaj.org/article/9639cbc0123146699034dde85105054e
Publikováno v:
TATuP – Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis, Vol 33, Iss 2 (2024)
Artificial intelligence (AI) has undergone rapid development and is becoming one of the major social issues. The advent of generative AI is not only associated with potential benefits but also poses a number of risks, such as increasing malicious mis
Externí odkaz:
https://doaj.org/article/7709eac8e1114810a1192ea3cc177310