Saudi Cultural Missions Theses & Dissertations
Permanent URI for this communityhttps://drepo.sdl.edu.sa/handle/20.500.14154/10
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Item Restricted Autonomous Bias Detection in Text-to-Image Models: Uncovering Biases through Image-to-Text Analysis and Confusion Matrix Visualization(Saudi Digital Library, 2023-08-25) Alotaibi, Afnan; Patras, LoannisThis paper contributes to the ongoing efforts of bias detection and mitigation in AI systems, offering a foundation for developing more inclusive and equitable technologies. In the realm of AI bias detection, recent methods relying on human in the loop have exhibited limitations in scalability and reliability. Addressing biases in text- to-image models has become paramount for ensuring ethical AI practices. This paper introduces a novel approach to uncovering gender and ethnicity biases and other kinds of biases such as Stereotype, Visual, and Ambiguity based biases. This approach compares generative model input text with image-to-text (CLIP and BLIP-2)models responses and leverages the confusion matrix for detailed visualization. Ultimately, the culmination of our approach entails a textual assessment. Utilizing a stable diffusion model, this approach involves two experiments: analyzing 10,000 images generated by gender-protected captions from CelebA (experiment 1), secondly probing biases in occupation profiling via 26,000 images generated from structured input text featuring Professions and Adjectives(experiment 2). This innovative tech- nique offers the potential to effectively mitigate biases, providing robust and new autonomous bias detection and analyzing it with two different datasets. Through experiments utilizing a stable diffusion model, biases are analyzed in both gender attributes and occupation profiling, elucidating disparities through the lens of CLIP and BLIP-2 responses. Our approach successfully uncovered evident biases towards male gender dominance and a noticeable prevalence of white ethnicity, along with other biases, within the Text-to-Image (TTI) model. This robust implemen- tation strongly supports the effectiveness of our approach in uncovering such biases.13 0Item Restricted The Incorporation of Local Culture Into Organizational Culture and its Impact on Employee Performance; A Case Study of Southeast Asia and The Middle East(Saudi Digital Library, 2023-09-11) Alotaibi, Afnan; Collins, KirstineThe notion of organisational culture and its impact on the performance of employees in an organisation has served as a heated debated for decades. The literature regarding national culture, organisational culture, and the relationship between both is further reviewed and analysed. This research aims to understand the relationship between organisational culture and national culture in the context of Asia with the research posing the question of ‘does the incorporation of local culture into organisational culture have an impact on the performance of organisations and the economy of the country?’. A case study has been conducted on three countries across Asia from Southeast Asia (Vietnam and Indonesia) to the Middle East (Saudi Arabia), primary data was collected from official government documents as well as credible global business sources while secondary information was collected through studies and research done on the topic of organisational culture in the aforementioned countries. The results of this case study suggest that the incorporation of local culture into organisational culture does have a positive impact on the productivity of businesses and the economy of the three countries. Furthermore, results imply that the collectivist approach to culture in the case of the Vietnam, Indonesia, and Saudi Arabia does have an effect on the structure of organisational culture and safeguarding the rights of employees as well as national social traditions within the organisation.26 0