Bibliographische Detailangaben
| Titel: |
Artificial intelligence in the information ecosystem: Affordances for everyday information seeking. |
| Autoren: |
Hirvonen, Noora, Jylhä, Ville, Lao, Yucong, Larsson, Stefan |
| Quelle: |
Journal of the Association for Information Science & Technology; Oct2024, Vol. 75 Issue 10, p1152-1165, 14p |
| Schlagwörter: |
SOCIAL media, GENERATIVE artificial intelligence, ARTIFICIAL intelligence, LIBRARIES, INFORMATION storage & retrieval systems, INFORMATION technology, MASS media, INFORMATION science, SEARCH engines, ACCESS to information |
| Abstract: |
In this conceptual article, we argue that artificial intelligence (AI) systems are contributing to the generation of an environment of affordances for everyday information practices through which they exert influence on people and the planet in ways that often are left unrecognized. We illustrate our insights by focusing on the practices of information seeking in everyday life, suggesting that the affordances of AI systems integrated into search engines, social media platforms, streaming services, and media generation, shape such practices in ways that may, paradoxically, result both in the increase and reduction of diversity of and access to information. We discuss the potential implications of these developments in terms of the sustainability of information ecosystems and suggest solutions for addressing them through regulation and education. Drawing from the fields of library and information science and science and technology studies and research on affordances, everyday information practices, and sustainability, the article seeks to respond to the need for more nuanced theoretical insights on the impact and implications of AI on information practices and to develop conceptual tools with which to examine the co‐evolution of humans and information systems from a systemic perspective. [ABSTRACT FROM AUTHOR] |
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| Datenbank: |
Complementary Index |