Fehér, Katalin ORCID: https://orcid.org/0000-0003-3293-0862, Vicsek, Lilla Mária ORCID: https://orcid.org/0000-0002-6034-7503 and Deuze, Mark ORCID: https://orcid.org/0000-0002-1986-5050 (2024) Modeling AI Trust for 2050. AI and Society: The Journal of Human-Centered Systems and Machine Intelligence . DOI https://doi.org/10.1007/s00146-023-01827-6
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Official URL: https://doi.org/10.1007/s00146-023-01827-6
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.
Item Type: | Article |
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Uncontrolled Keywords: | artificial intelligence, info-communication, media, AI trust, beliefs, uncertainties, generative AI |
Divisions: | Institute of Social and Political Sciences |
Subjects: | Media and communication Computer science |
Funders: | Janos Bolyai Research Scholarship |
Projects: | UNKP-22-5-NKE-87, Horizon Europe NGI International Collaboration – Transatlantic Fellowship Programme Grant number: 101070125 |
DOI: | https://doi.org/10.1007/s00146-023-01827-6 |
ID Code: | 9611 |
Deposited By: | MTMT SWORD |
Deposited On: | 08 Jan 2024 11:36 |
Last Modified: | 08 Jan 2024 11:36 |
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