Modeling AI Trust for 2050

Fehér, Katalin ORCID:, Vicsek, Lilla Mária ORCID: and Deuze, Mark ORCID: (2024) Modeling AI Trust for 2050. AI and Society: The Journal of Human-Centered Systems and Machine Intelligence . DOI

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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
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
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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