AI Ethics Principles for AI Developers in Academia: A Critical Assessment and Analysis
AI Ethics Principles for AI Developers in Academia: A Critical Assessment and Analysis

Summary/Abstract: The ethical use of Artificial Intelligence (AI) has become a critical concern since AI systems influence various sectors of society. While AI technologies such as generative AI continue to advance, more AI ethics principles frameworks should be investigated to guide both users and the developers of AI systems. This research highlights the importance of understanding the AI developers' awareness of ethical principles when implementing AI technologies. In this paper, the focus is on AI developers in the academic community. Developers have the role of preparing the new generations of AI experts and equipping them with concrete knowledge before delving into the industry. Based on empirical data from 30 AI developers in academia, the research findings showed a reasonable understanding of AI ethics in general. However, principles such as privacy by design, security by design, and the ability to appeal require more study and a clear framework to guide. Additionally, the resulting challenges were categorized into five areas: (1) Resource and Regulatory Challenges, (2) Accountability and Responsibility Issues, (3) Technical Complexity, (4) Ethical Human Value Conflicts, (5) Cultural and Institutional Barriers. Suggestions for future research directions were also provided to help academia support AI developers in incorporating AI ethics.

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