TY - JOUR AU - Fehér, Katalin AU - Vicsek, Lilla Mária AU - Deuze, Mark TI - Modeling AI Trust for 2050. perspectives from media and info-communication experts TS - perspectives from media and info-communication experts JF - AI AND SOCIETY: THE JOURNAL OF HUMAN-CENTERED SYSTEMS AND MACHINE INTELLIGENCE J2 - AI SOCIETY PY - 2024 PG - 14 SN - 0951-5666 DO - 10.1007/s00146-023-01827-6 UR - https://m2.mtmt.hu/api/publication/34476794 ID - 34476794 AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Horváth, Ágnes AU - Vicsek, Lilla Mária TI - Visions of Hungarian Artificial Intelligence Specialists About the Future of Work and Their Roles JF - SCIENCE TECHNOLOGY AND SOCIETY J2 - SCI TECHNOL SOC VL - 28 PY - 2023 IS - 4 SP - 603 EP - 620 PG - 18 SN - 0971-7218 DO - 10.1177/09717218231186105 UR - https://m2.mtmt.hu/api/publication/34133812 ID - 34133812 LA - English DB - MTMT ER - TY - JOUR AU - Köves, Alexandra AU - Tóth, Tamás AU - Vicsek, Lilla Mária TI - A torn generation: Dichotomies and dissonances on sustainability and technological change in in-depth interviews with university students JF - SOCIETY AND ECONOMY J2 - SOC ECON VL - 2023 PY - 2023 SP - 1 EP - 18 PG - 18 SN - 1588-9726 DO - 10.1556/204.2023.00014 UR - https://m2.mtmt.hu/api/publication/34082353 ID - 34082353 AB - In a research study among university students regarding technological change, equality and environmental sustainability, deep-seated dichotomies were found in the students' mental images of the future. This study aims to present these dichotomies as well as propose explanations for them, adding to our understanding of what kind of behavioural barriers inhibit sustainability transformations. The results show that the interviewees truly struggle to decide if the world really is on fire regarding environmental change, if technology is capable of solving the situation, if inequality is truly a problem, and how they can relate to all this. The dichotomies that we found suggest that on the one hand, they find no comfort in the dominant techno-optimistic, eco-modernisation narratives and, on the other hand, they are not aware of any alternatives. The results underline the existence of psychological phenomena such as optimism bias or psychological distancing. In our paper, we also address whether dichotomous thinking poses a problem or whether we may have to accept that dichotomies can become the norm when contemplating the world in its increasing complexity. LA - English DB - MTMT ER - TY - CHAP AU - Vicsek, Lilla Mária AU - Tóth, Tamás ED - Michael, Filimowicz TI - Visions of Human-Centered Artificial Intelligence. Relations with Ethics and Power TS - Relations with Ethics and Power T2 - Algorithmic Ethics PB - Routledge CY - London SN - 9781003299882 PY - 2023 SP - 1 EP - 21 PG - 21 DO - 10.4324/9781003299882-1 UR - https://m2.mtmt.hu/api/publication/34035315 ID - 34035315 AB - In recent years, there has been heightened sensibility to ethical issues connected with artificial intelligence. Conceptions of different types of AI have emerged which touch upon this new sensibility, including wholesome augmented intelligence, responsible/trustworthy/ethical AI, AI for good and human-centered AI. In this chapter, we focus on the concept of human-centered AI, which has gained more prominence lately and has even appeared in the names of organizations. However, there are major problems with the conceptualization and operationalization of human-centered AI. This chapter critically analyzes academic visions about human-centered AI in five Western university institutions’ online textual content (n = 573). The study scrutinizes institutions that use the term “human-centered” in their names. Even though institutions provide more content framed with supportive attitudes rather than focusing on technical solutions, the related texts fail to address several important issues. First, they often treat humanity as a homogenous group, suggesting that every society struggles with the same problems. Second, human-centered AI is treated as being mainly aligned with the Global North’s needs. Finally, most of the texts associated with the scrutinized institutions lack discussion of the surging inequalities connected to the capitalist system. Therefore, they do not offer many AI-supported solutions that might address the challenges of a lack of clean water, poverty, or the presence of dangerous jobs that harm the Global South. Instead, the analyzed institutions primarily present societal challenges within national borders, while they disregard the need for redressing fundamental problems that hinder the creation of acceptable living conditions in poor regions. Building on the sociology of expectations, this study argues that the visions of human-centered AI are of paramount importance. These expectations have the potential to legitimize, guide and coordinate the activities of different actors responsible for the research, development and application of AI-driven technologies. LA - English DB - MTMT ER - TY - JOUR AU - Vicsek, Lilla Mária AU - Mikó, Fruzsina Réka TI - Young people’s moral decision-making and the Covid-19 pandemic in Hungary JF - INTERSECTIONS: EAST EUROPEAN JOURNAL OF SOCIETY AND POLITICS J2 - INTERSECTIONS (HU) VL - 9 PY - 2023 IS - 1 SP - 101 EP - 119 PG - 19 SN - 2416-089X DO - 10.17356/ieejsp.v9i1.1044 UR - https://m2.mtmt.hu/api/publication/33806757 ID - 33806757 LA - English DB - MTMT ER - TY - GEN AU - Köves, Alexandra AU - Vicsek, Lilla Mária AU - Fehér, Katalin AU - Fischer, Máté TI - Mesterséges intelligencia a jövő szolgálatában. Backcasting jövőkutató szakértői műhely eredményei. PY - 2022 PG - 15 UR - https://m2.mtmt.hu/api/publication/33777148 ID - 33777148 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Herke, Boglárka AU - Vicsek, Lilla Mária TI - The attitudes of young citizens in higher education towards universal basic income in the context of automation—A qualitative study JF - INTERNATIONAL JOURNAL OF SOCIAL WELFARE J2 - INT J SOC WELF VL - 31 PY - 2022 IS - 3 SP - 310 EP - 322 PG - 13 SN - 1369-6866 DO - 10.1111/ijsw.12533 UR - https://m2.mtmt.hu/api/publication/32774783 ID - 32774783 LA - English DB - MTMT ER - TY - JOUR AU - Vicsek, Lilla Mária AU - Bokor, Tamás AU - Pataki, Gyöngyvér TI - Younger generations’ expectations regarding artificial intelligence in the job market. Mapping accounts about the future relationship of automation and work TS - Mapping accounts about the future relationship of automation and work JF - JOURNAL OF SOCIOLOGY J2 - J SOCIOL VL - 60 PY - 2022 IS - 1 SP - 21 EP - 38 PG - 18 SN - 1440-7833 DO - 10.1177/14407833221089365 UR - https://m2.mtmt.hu/api/publication/32774762 ID - 32774762 LA - English DB - MTMT ER - TY - JOUR AU - Vicsek, Lilla Mária AU - Sándor, Judit AU - Bauer, Zsófia TI - The human embryo: Mapping patients’ ethical decisions in Hungary JF - INTERSECTIONS: EAST EUROPEAN JOURNAL OF SOCIETY AND POLITICS J2 - INTERSECTIONS (HU) VL - 7 PY - 2021 IS - 2 SP - 149 EP - 169 PG - 21 SN - 2416-089X DO - 10.17356/ieejsp.v7i2.780 UR - https://m2.mtmt.hu/api/publication/32110043 ID - 32110043 LA - English DB - MTMT ER - TY - JOUR AU - Vicsek, Lilla Mária TI - Artificial intelligence and the future of work - lessons from the sociology of expectations JF - INTERNATIONAL JOURNAL OF SOCIOLOGY AND SOCIAL POLICY J2 - INT J SOCIOL SOCIAL POLICY VL - 41 PY - 2021 IS - 7-8 SP - 842 EP - 861 PG - 20 SN - 0144-333X DO - 10.1108/IJSSP-05-2020-0174 UR - https://m2.mtmt.hu/api/publication/31637768 ID - 31637768 AB - Purpose What is the future of work going to look like? The aim of this paper is to show how the sociology of expectations (SE) - which deals with the power of visions - can make important contributions in terms of thinking about this issue by critically evaluating the dominant expert positions related to the future-of-employment- and artificial intelligence (AI) debate. Design/methodology/approach After providing a literature review regarding SE, an approach based on the latter is applied to interpret the dominant ideal-type expert positions in the future of work debate to illustrate the value of this perspective. Findings Dominant future scripts can be characterized by a focus on the effects of AI technology that give agency to technology and to the future, involve the hype of expectations with polarized frames, and obscure uncertainty. It is argued that these expectations can have significant consequences. They contribute to the closing off of alternative pathways to the future by making some conversations possible, while hindering others. In order to advance understanding, more sophisticated theorizing is needed which goes beyond these positions and which takes uncertainty and the mutual shaping of technology and society into account - including the role expectations play. Research limitations/implications The study asserts that the dominant positions contain problematic assumptions. It makes suggestions for helping move beyond these current framings of the debate theoretically. It also argues that scenario building and backcasting are two tools that could help move forward thinking about the future of work - especially if this is done in a way so as to build strongly on SE. Practical implications The arguments presented herein enhance sense-making in relation to the future-of-work debate, and can contribute to policy development. Originality/value There is a lack of adequate exploration of the role of visions related to AI and their consequences. This paper attempts to address this gap by applying an SE approach and emphasizing the performative force of visions. LA - English DB - MTMT ER -