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 |