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Author
dc.contributor.author
Feher Katalin
Author
dc.contributor.author
Vicsek Lilla
Author
dc.contributor.author
Deuze Mark
Availability Date
dc.date.accessioned
2024-02-20T13:35:26Z
Availability Date
dc.date.available
2024-02-20T13:35:26Z
Release
dc.date.issued
2024
Issn
dc.identifier.issn
1435-5655
Issn
dc.identifier.issn
0951-5666
uri
dc.identifier.uri
http://hdl.handle.net/20.500.12944/21355
Abstract
dc.description.abstract
The study explores the future of AI-driven media and info-communication as envisioned by experts from all world regions, defining relevant terminology and expectations for 2050. Participants engaged in a 4-week series of surveys, questioning their definitions and projections about AI for the field of media and communication. Their expectations predict universal access to democratically available, automated, personalized and unbiased information determined by trusted narratives, recolonization of information technology and the demystification of the media process. These experts, as technology ambassadors, advocate AI-to-AI solutions to mitigate technology-driven misuse and misinformation. The optimistic scenarios shift responsibility to future generations, relying on AI-driven solutions and finding inspiration in nature. Their present-based forecasts could be construed as being indicative of professional near-sightedness and cognitive dissonance. Visualizing our findings into a Glasses Model of AI Trust, the study contributes to key debates regarding AI policy, developmental trajectories, and academic research in media and info-communication fields.
Language
dc.language
en
Keywords
dc.subject
Artificial intelligence · Info-communication · Media · AI Trust · Beliefs · Uncertainties · Generative AI
Title
dc.title
Modeling AI Trust for 2050
Type
dc.type
folyóiratcikk
Date Change
dc.date.updated
2024-02-08T14:40:21Z
Version
dc.description.version
kiadói

dc.rights.accessRights
nyílt hozzáférésű
Doi ID
dc.identifier.doi
10.1007/s00146-023-01827-6
Discipline Discipline +
dc.subject.discipline
Társadalomtudományok

dc.subject.sciencebranch
Társadalomtudományok/Média- és kommunikációs tudományok
MTMT ID
dc.identifier.mtmt
34476794

dc.identifier.journalTitle
AI and Society: The Journal of Human-Centered Systems and Machine Intelligence

dc.identifier.journalVolume
2024
Wos ID
dc.identifier.wos
001135240700001
ID Scopus
dc.identifier.scopus
85181250522

dc.identifier.journalAbbreviatedTitle
AI SOCIETY
Release Date
dc.description.issuedate
2024
Author institution
dc.contributor.department
Társadalmi Kommunikáció Tanszék
Author institution
dc.contributor.department
Szociológia Tanszék


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