Using artificial intelligence (AI)? Risk and opportunity perception of AI predict people’s willingness to use AI

Schwesig, Rebekka; Brich, Irina; Buder, Jürgen; Huff, Markus; Said, Nadia

doi:10.1080/13669877.2023.2249927

Cited by 9 publications

(4 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The willingness to use AI depends on the knowledge a person has about the AI. The more knowledgeable are more prone in employing AI (Schwesig et al, 2023). Yet, AI education rest on a science-informed and evidence-based approach.…”

Section: Discussionmentioning

confidence: 99%

The use of AI algorithms in architecture, engineering and construction: A tool for crisis prevention? The uncertainty perspective

Mrksic Kovacevic,

Bouder

2023

DRArch

View full text Add to dashboard Cite

Within the Architecture, engineering and construction (AEC) sector we see movements toward greater use of industrial robots, machine learning, algorithms, and other artificial intelligence (AI) tools. Yet, the AEC industry, despite being one of the largest fields on a global scale, is known for being the slowest to digitalize and innovate. Factors such as unrecognizing the value of digitalization by the decision-makers and making safety-related decisions under high levels of uncertainty, appear to be critical in preventing successful large-scale digitalization. This situation raises multiple questions from a risk science perspective. How, among other things, might the expansion of AI and more specifically AI algorithms usage in the AEC field affect uncertainties, and could AI be considered a tool for preventing crises? To obtain responses to these questions, we conducted 21 semi-structured, in-depth interviews with AEC employees who are currently using AI and AI algorithms or will soon be doing so in their everyday work. Our findings show potential for wider use within the AEC field, subject to overcoming knowledge gaps. Moreover, although having the potential to reduce some uncertainties, the increased use of AI and AI algorithms appears to be introducing an entirely new set of uncertainties. As a result, although AI may effectively prevent certain crises and be regarded as crisis prevention tool, its inadequate implementation could potentially create new risks.

show abstract

Section: Discussionmentioning

confidence: 99%

The use of AI algorithms in architecture, engineering and construction: A tool for crisis prevention? The uncertainty perspective

Mrksic Kovacevic,

Bouder

2023

DRArch

View full text Add to dashboard Cite

show abstract

“…The general public views artificial intelligence as having two sides: potential benefits and drawbacks (Schwesig, 2022). Kim et al (2020) examined how consumers perceive AI-based content and how different content generators (human vs. AI) and information delivery methods (text vs. audio vs. video) affect users' impressions of the content.…”

Section: Public Perception Of Ai-based Contentmentioning

confidence: 99%

“…The findings showed that participants trusted AI decisions that were semi-automated (made without the assistance of a human expert) and automatic (made without the assistance of a human expert) equally. Additionally, Schwesig et al (2022) carried out two online tests to examine how people perceive risk and opportunity in artificial intelligence. The results showed that the likelihood of using AI was positively connected with people's perceptions of risk and opportunity in AI (i.e., opportunity minus risk perception).…”

Section: Public Perception Of Ai-based Contentmentioning

confidence: 99%

قبول المستخدمين المصريين لمحتوى الفيديو المصنوع بأدوات الذكاء الاصطناعي على منصات التواصل الاجتماعي

فهمي

2024

المجلة العلمية لبحوث الإذاعة والتلفزيون

View full text Add to dashboard Cite

This research investigates the acceptance of AI-generated video content on social media platforms among Egyptian Millennials and Generation Z users. A model, extending the AI Device Use Acceptance Model (AIDUA), was proposed, incorporating additional variables into the existing three-stage model. The study examined the impact of nine determinants on the final stage, whether users were willing or opposed to using AI technology for video content creation. These determinants encompassed social influence, hedonic motivation, anthropomorphism, technophilia, computer self-efficacy, performance expectancy, perceived effort, emotion, and information verification. The purposive sample comprised 461 subjects, and data were collected through an electronic questionnaire. Structural equation modeling (SEM) and path analysis were employed to test hypotheses and analyze relationships between variables. Results confirmed the study's hypotheses, demonstrating significant effects of the assumed determinants on users' inclination or objection to AI applications in video content generation. Notably, the study found no statistically significant differences in the study variables based on respondents' age groups.

show abstract

“…2. Therefore, enterprises and governments need to strengthen the formulation and implementation of data protection and privacy policies to ensure the security and confidentiality of personal information [4].…”

Section: Privacy and Data Protection Risksmentioning

confidence: 99%

Legal Risks and Responses to Artificial Intelligence Technology from the Perspective of Sociology of Technology

Jiang

2023

AJMSS

View full text Add to dashboard Cite

Due to the wide application of Artificial Intelligence (AI), it is reconstructing the rules, behavior, and the way of organization and operation in the economy and society. However, AI has also brought many potential risks while promoting high-quality economic growth and achieving effective social governance. AI has powerful intelligent thinking and behavioral decision-making ability. Therefore, there would be huge risks once safety problems related to AI occur. Although all countries are aware of the necessity of strengthening the regulation of AI, the regulatory system and governance concepts in practice are still not sophisticated enough to cope with the rapid progress of AI technology. In this paper, from the perspective of the sociology of technology, we analyze the development boundaries and legal limits of AI technology, and further explore the governance of science and technology ethics, aiming to build an AI that meets human expectations and promotes human well-being.

show abstract

Using artificial intelligence (AI)? Risk and opportunity perception of AI predict people’s willingness to use AI

Cited by 9 publications

References 51 publications

The use of AI algorithms in architecture, engineering and construction: A tool for crisis prevention? The uncertainty perspective

The use of AI algorithms in architecture, engineering and construction: A tool for crisis prevention? The uncertainty perspective

قبول المستخدمين المصريين لمحتوى الفيديو المصنوع بأدوات الذكاء الاصطناعي على منصات التواصل الاجتماعي

Legal Risks and Responses to Artificial Intelligence Technology from the Perspective of Sociology of Technology

Contact Info

Product

Resources

About