TY - GEN
T1 - Motivation, Concerns, and Attitudes Towards AI
T2 - 25th International Conference on Web Information Systems Engineering, WISE 2024
AU - Rahman, Mohammad Mominur
AU - Babiker, Areej
AU - Ali, Raian
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025/11/27
Y1 - 2025/11/27
N2 - Attitudes towards artificial intelligence (AI) are influenced by individual intentions to use it and concerns about its implications, which can vary across different age groups and genders, highlighting the need for more nuanced design and communication strategies. This study explores how gender and age influence attitudes towards AI by examining intentions and concerns from a cross-cultural perspective. Using a sample of 562 participants from the UK (281) and the Arab Gulf Cooperation Council (GCC) (281), the research investigates demographic and cultural differences in AI use intentions and concerns. The study finds that gender and age significantly influence AI acceptance in the UK, whereas these factors have a less pronounced impact in the Arab context. The results highlight that women generally express more ethical and privacy concerns about AI than men, and older adults show more apprehension towards AI acceptance than younger individuals. By showing that cultural nuances play a role in shaping these attitudes, we also show the need for tailored strategies to address demographic-specific concerns to reduce fear towards AI and, at the same time, avoid over-acceptance. The combined influence of age and gender can enhance the effectiveness of AI strategies, emphasizing the importance of considering personal and cultural factors in design and policy-making, e.g., in aiding trust calibration and informed adoption of AI.
AB - Attitudes towards artificial intelligence (AI) are influenced by individual intentions to use it and concerns about its implications, which can vary across different age groups and genders, highlighting the need for more nuanced design and communication strategies. This study explores how gender and age influence attitudes towards AI by examining intentions and concerns from a cross-cultural perspective. Using a sample of 562 participants from the UK (281) and the Arab Gulf Cooperation Council (GCC) (281), the research investigates demographic and cultural differences in AI use intentions and concerns. The study finds that gender and age significantly influence AI acceptance in the UK, whereas these factors have a less pronounced impact in the Arab context. The results highlight that women generally express more ethical and privacy concerns about AI than men, and older adults show more apprehension towards AI acceptance than younger individuals. By showing that cultural nuances play a role in shaping these attitudes, we also show the need for tailored strategies to address demographic-specific concerns to reduce fear towards AI and, at the same time, avoid over-acceptance. The combined influence of age and gender can enhance the effectiveness of AI strategies, emphasizing the importance of considering personal and cultural factors in design and policy-making, e.g., in aiding trust calibration and informed adoption of AI.
KW - Artificial Intelligence
KW - Attitude Toward AI
KW - Concerns
KW - Culture
KW - Human Factors
KW - Intentions of Use
UR - https://www.scopus.com/pages/publications/85211235870
U2 - 10.1007/978-981-96-0573-6_28
DO - 10.1007/978-981-96-0573-6_28
M3 - Conference contribution
AN - SCOPUS:85211235870
SN - 9789819605729
VL - 15439
T3 - Lecture Notes In Computer Science
SP - 375
EP - 391
BT - Web Information Systems Engineering-wise 2024, Pt Iv
A2 - Barhamgi, M
A2 - Wang, H
A2 - Wang, X
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 2 December 2024 through 5 December 2024
ER -