Who Is Skeptical About Scientific Innovation? Examining Worldview Predictors of Artificial Intelligence, Nanotechnology, and Human Gene Editing Attitudes

Većkalov, Bojana; Stekelenburg, Aart van; Harreveld, Frenk van; Rutjens, Bastiaan T

doi:10.1177/10755470231184203

Cited by 9 publications

(2 citation statements)

References 78 publications

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“…When posting The SmartMiner concept, we had in mind an observation published in (Crawford & Calo, 2016;Janković et al, 2021;Većkalov et al, 2023;Bozkurt & Gursoy, 2023;Yampolskiy, 2024) in sense that "Machines and robots that outperform humans across the board could self-improve beyond our controland their interests might not align with ours". Broad popular and scientific discourses concern massive use of Artificial Intelligence and Machine Learning appeared.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Smart, ergonomic and sustainable mining machinery workplaces: An overview of the SmartMiner project

Spasojević-Brkić,

Mihajlović,

Nikolić

et al. 2024

XIX International May Conference on Strategic Management – IMCSM24 Proceedings - Zbornik Radova

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Despite being the oldest, the mining industry continues to be a major source of pollution, with more people killed or injured than in all other industries. Additionally, social tension related to this sector is widespread around the world, since mining businesses continue to have a significant negative influence on land, water, air, biota, and people through direct and indirect mechanisms. The mining machinery workplaces, which are in the focus of this study have the largest environmental footprint. The dominance of technology-centered design in present research streams is most likely the explanation for the lack of advancement in the mining industry. The SmartMiner project creates shift from technology-centered design and its concept creates solutions for improving the standard of environmental quality in complex systems and suggests a paradigm change to a Human and Data-Centric Engineering. By aligning advanced operator I4.0&5.0 and society S5.0 standards, the SmartMiner project develops solutions for raising the level of environmental quality in complex interactions between physical, behavioural, and organizational processes field. Proposed paradigm can be easily transferred to other industries. The safety of mining machinery operators in their immediate surroundings and their regular alignment with value chain stakeholders are the first steps in our original idea approval process. Research moves to the operator macro-environment, which is determined by organizational contextual factors, and is encompassed by the development of intelligent, ergonomic, non-invasive, and dependable operator aid systems for regulating physical environment job stressors-noise, human vibration, lighting, temperature, air quality, workplace layout issues, etc., with high potential to solve environmental and human health issues and to influence overall performance.

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Section: Theoretical Frameworkmentioning

confidence: 99%

Smart, ergonomic and sustainable mining machinery workplaces: An overview of the SmartMiner project

Spasojević-Brkić,

Mihajlović,

Nikolić

et al. 2024

XIX International May Conference on Strategic Management – IMCSM24 Proceedings - Zbornik Radova

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“…Previous research has shown that various forms of anti-science attitudes correlate with diverse ideologies (e.g., Pechar et al, 2018;Rutjens et al, 2018bRutjens et al, , 2022Washburn and Skitka, 2018;Rutjens and van der Lee, 2020;Schrøder, 2022). However, overarching anti-science attitudes tend to mediate the effect of different ideological variables when predicting anti-science attitudes across domains (Rutjens et al, 2018a(Rutjens et al, , 2022Rutjens and van der Lee, 2020;Većkalov et al, 2023).…”

Section: Introductionmentioning

confidence: 98%

Ideological predictors of anti-science attitudes: exploring the impact of group-based dominance and populism in North America and Western Europe

Remsö,

Renström

2023

Front. Soc. Psychol.

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This research examined individual-level ideological variables as predictors of anti-science attitudes, encompassing a lack of acceptance, belief, and trust in science as an institution and source of knowledge. We specifically focused on ideologies associated with group-based dominance and populism while also considering conventional predictors like scientific literacy, symbolic ideology, and partisanship. Study 1 was an original survey (U.S. participants, N = 700), which replicated prior research showing that political conservative identity and attitudes favoring group-based dominance most strongly predicted anti-science attitudes. In contrast, populist attitudes had no substantial effect. In Study 2, analyzing data from the Dutch LISS Panel (N = 2,186), group-based dominance attitudes, specifically with regard to gender, as well as populist attitudes and conspiracy beliefs, emerged as the most prominent factors predicting anti-science attitudes. These studies speak to the role of group-based dominance attitudes in undermining the perceived validity of science, as observed in both North American and Western European samples. Whether these results reflect more consistent patterns or are specific to particular countries and cultural contexts is not clear, emphasizing the need for future research on how these ideologies shape and perpetuate anti-science attitudes.

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Design and Application of Artificial Intelligence Robot Based on Automation Technology

Tong

2024

Lecture Notes on Data Engineering and Communications Technologies

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Who Is Skeptical About Scientific Innovation? Examining Worldview Predictors of Artificial Intelligence, Nanotechnology, and Human Gene Editing Attitudes

Cited by 9 publications

References 78 publications

Smart, ergonomic and sustainable mining machinery workplaces: An overview of the SmartMiner project

Smart, ergonomic and sustainable mining machinery workplaces: An overview of the SmartMiner project

Ideological predictors of anti-science attitudes: exploring the impact of group-based dominance and populism in North America and Western Europe

Design and Application of Artificial Intelligence Robot Based on Automation Technology

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