اخلاقيات تطبيقات الذكاء الاصطناعي وعلاقتها بالمسؤولية المهنية لدى تدريسيي الحاسوب في الجامعة

Abstract

The aim of the current research is to know:

Research Abstract

The current study aims to investigate the following:

 1- The ethics of artificial intelligence (AI) applications among university computer science faculty members.

 2-The level of professional responsibility among university computer science faculty members.

3-The relationship between the ethics of AI applications and professional responsibility among university computer science faculty members.

4- The significance of gender-based differences in the correlation between AI application ethics and professional responsibility (males vs. females).

The study was limited to computer science faculty members at the Colleges of Education in the Universities of Al-Qadisiyah, Kufa, and Babylon for the academic year 2024–2025. The main sample consisted of 200 randomly selected faculty members.

The researchers adopted the descriptive correlational research method and used two measurement tools:

• A scale for AI application ethics designed by Al-Shamrani (2024), which was adapted to suit the nature of the sample based on expert recommendations, and consisted of 24 items in its final form.
• A scale for professional responsibility developed by Abdulrahman (2019), also adapted to the study sample based on expert suggestions, and composed of 54 items in its final version.

After administering the tools and analyzing the data using the Statistical Package for the Social Sciences (SPSS), the study yielded the following results:

• University computer science faculty members demonstrate a good level of awareness regarding AI application ethics.
• They also exhibit a high level of professional responsibility.
• There is a statistically significant positive correlation between AI application ethics and professional responsibility.
• There are no statistically significant gender-based differences in the correlation between AI application ethics and professional responsibility.

Recommendations:

• Organizing Training Courses for Faculty Members and Department Heads Aimed at developing and enhancing teaching performance, clarifying academic and administrative responsibilities, and encouraging faculty members to actively participate in conferences and seminars within their fields of specialization.

2- Promoting Community Awareness Among Faculty Members

By holding educational seminars that emphasize the importance of integrating the various responsibilities of faculty members—teaching, research, and community service—in order to improve overall performance and support institutional goals.

3-Organizing Seminars and Workshops on AI Ethics Intended to familiarize faculty members with the ethical aspects of using artificial intelligence technologies, and to train them on how to skillfully and responsibly utilize AI tools in their respective academic disciplines to enhance teaching and research capabilities.