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Artificial intelligence in the information ecosystem: affordances for everyday information seeking

Hirvonen, Noora ; Jylhä, Ville ; Lao, Yucong and Larsson, Stefan LU (2023) In Journal of the Association for Information Science and Technology p.1-14
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 unrecognised. 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. This shaping 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... (More)
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 unrecognised. 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. This shaping 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. (Less)
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Contribution to journal
publication status
epub
subject
keywords
AI in the information ecosystem, affordances, AI, everyday information seeking, AI and search engines, library and information science, STS, The Durkheim Test
in
Journal of the Association for Information Science and Technology
pages
14 pages
publisher
John Wiley & Sons Inc.
external identifiers
  • scopus:85180845876
ISSN
2330-1635
DOI
10.1002/asi.24860
project
AI Transparency and Consumer Trust
language
English
LU publication?
yes
id
f0849a7e-2ab1-4563-ac07-e8df6260de86
alternative location
https://asistdl.onlinelibrary.wiley.com/doi/full/10.1002/asi.24860
date added to LUP
2023-11-30 13:43:46
date last changed
2024-02-15 15:40:41
@article{f0849a7e-2ab1-4563-ac07-e8df6260de86,
  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 unrecognised. 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. This shaping 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.}},
  author       = {{Hirvonen, Noora and Jylhä, Ville and Lao, Yucong and Larsson, Stefan}},
  issn         = {{2330-1635}},
  keywords     = {{AI in the information ecosystem; affordances; AI; everyday information seeking; AI and search engines; library and information science; STS; The Durkheim Test}},
  language     = {{eng}},
  month        = {{12}},
  pages        = {{1--14}},
  publisher    = {{John Wiley & Sons Inc.}},
  series       = {{Journal of the Association for Information Science and Technology}},
  title        = {{Artificial intelligence in the information ecosystem: affordances for everyday information seeking}},
  url          = {{https://lup.lub.lu.se/search/files/168218418/Hirvonen_Jylh_Lao_Larsson_-_2023_-_Artificial_intelligence_in_the_information_ecosystem_Affordances_for.pdf}},
  doi          = {{10.1002/asi.24860}},
  year         = {{2023}},
}