{"id":5124,"date":"2026-04-10T07:21:13","date_gmt":"2026-04-10T07:21:13","guid":{"rendered":"https:\/\/cognitionconferences.com\/bigdata\/?post_type=speaker&p=5124"},"modified":"2026-04-16T08:51:49","modified_gmt":"2026-04-16T08:51:49","slug":"shabbab-ali-algamdi","status":"publish","type":"speaker","link":"https:\/\/cognitionconferences.com\/bigdata\/speaker\/shabbab-ali-algamdi\/","title":{"rendered":"Shabbab Ali Algamdi"},"content":{"rendered":"

Abstract
\n<\/strong>
\nThe rapid integration of AI techniques into software engineering introduces both opportunities and risks. This paper presents an empirical study examining the role of AI in software engineering processes, with a focus on responsibility, transparency, and reliability. We analyze practical challenges reported in industry and propose guidelines for building responsible AI-driven systems. Our results highlight the importance of explainability, ethical considerations, and robust evaluation metrics to ensure trust in AI-enabled software engineering practices.
\nCCS CONCEPTS
\n<\/strong>Software engineering \u2192 Empirical software engineering; \u2022 Computing methodologies \u2192 Artificial intelligence; \u2022 Social and professional topics \u2192 Computing \/ technology policy.
\nKEYWORDS
\n<\/strong>Responsible AI, Software Engineering, Empirical Study, Transparency, Ethics
\n1 INTRODUCTION
\n<\/strong>Artificial Intelligence (AI) is increasingly embedded in software engineering tasks such as code generation, defect detection, and requirements analysis. While offering productivity gains, these applications raise concerns around bias, reliability, and responsible use. This paper contributes to this discourse by synthesizing key empirical findings from recent studies, identifying challenges, and proposing actionable insights.
\n2 METHODOLOGY AND RESULTS
\n<\/strong>Our study builds on industrial case reports and controlled experiments analyzing the integration of AI into software engineering. Key findings indicate: (1) developers often struggle with opaque AI recommendations, (2) current evaluation metrics insufficiently capture ethical implications, and (3) responsible AI requires socio-technical alignment, including stakeholder engagement and continuous monitoring.
\n3 CONCLUSION
\n<\/strong>This paper emphasizes that responsible AI in software engineering is not optional but essential. By aligning empirical evidence with ethical guidelines, we outline a path towards sustainable and trustworthy adoption of AI in the software lifecycle. Future work includes developing standardized evaluation frameworks and exploring cross-disciplinary collaborations.<\/p>\n

Biography<\/span><\/span><\/strong><\/p>\n

Dr. Shabbab Ali Algamdi\u00a0is the \u00a0Head of the Software Engineering Department at Prince Sattam bin Abdulaziz University (PSAU), Saudi Arabia. He received his Ph.D. in Computer Science (Software Engineering) from the University of North Texas, USA, with the highest honors.<\/div>\n
His research interests include Human\u2013Computer Interaction (HCI), usability and accessibility of mobile and web applications, AI-driven software engineering, and digital transformation. Dr. Algamdi has published several peer-reviewed articles in reputable international journals and actively contributes to research, teaching, and curriculum development. In addition to his academic role, he leads departmental initiatives, supports accreditation and quality assurance activities, and contributes to national efforts in digital transformation and smart systems.<\/div>\n","protected":false},"featured_media":5125,"template":"","meta":{"_acf_changed":false},"schedule":[5],"speaker-category":[6],"class_list":["post-5124","speaker","type-speaker","status-publish","has-post-thumbnail","hentry","schedule-day-1","speaker-category-speakers"],"acf":[],"yoast_head":"\nShabbab Ali Algamdi | Prince Sattam bin Abdulaziz University | Saudi Arabia<\/title>\n<meta name=\"description\" content=\"Dr. Shabbab Ali Algamdi\u00a0is the \u00a0Head of the Software Engineering Department at Prince Sattam bin Abdulaziz University (PSAU), Saudi Arabia. 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