⚡ Quick Summary

This scoping review protocol aims to synthesize existing research on teaching AI ethics to postsecondary students and evaluate the effectiveness of various educational strategies. The findings will provide valuable insights for educators and policymakers on integrating responsible AI practices into curricula.

🔍 Key Details

• 📚 Focus: Teaching AI ethics in postsecondary education
• 🔍 Methodology: Scoping review following Arksey and O’Malley’s framework
• 📊 Databases searched: PubMed, Embase, Scopus, ERIC, LISTA, IEEE Xplore, APA PsycInfo, ProQuest Dissertations and Theses
• 🧩 Key concepts: Education, AI, Ethics
• 📈 Evaluation metrics: Changes in student knowledge, skills, attitudes, and behaviors

🔑 Key Takeaways

• 🌐 AI carries risks such as algorithmic biases and ethical concerns.
• 💡 Teaching AI ethics is crucial for mitigating potential harms associated with AI technologies.
• 📖 Review objectives include synthesizing research and identifying effective teaching strategies.
• 🔍 Methodological rigor will be ensured through a structured search strategy developed by an academic librarian.
• 📊 Results will inform future research, policy development, and teaching practices.
• 🌍 Insights gained will enhance understanding of AI ethics education complexities.
• 🗂️ Data charting will focus on AI ethics pedagogy.
• 📅 Expected outcomes include an up-to-date synthesis of AI ethics education in curricula.

📚 Background

The rapid advancement of artificial intelligence (AI) technologies presents both opportunities and challenges. While AI has the potential to drive significant social good, it also raises critical ethical concerns, including issues of privacy, data protection, and algorithmic bias. As such, integrating AI ethics into postsecondary education has become increasingly important to prepare students for the ethical dilemmas they may face in their professional lives.

🗒️ Study

This scoping review will systematically explore the existing literature on teaching AI ethics to postsecondary students. By following the first five steps outlined by Arksey and O’Malley, the study aims to provide a comprehensive overview of current educational practices and their effectiveness. The review will utilize a structured search strategy to identify relevant studies across multiple academic databases.

📈 Results

The anticipated results will include a synthesis of the current state of AI ethics education in postsecondary curricula, evaluated teaching strategies, and potential outcomes associated with AI ethics education. The findings will be reported according to the PRISMA-ScR checklist, ensuring methodological transparency and rigor.

🌍 Impact and Implications

The implications of this review are significant. By providing educators and policymakers with a clearer understanding of how to effectively teach AI ethics, we can foster a generation of professionals who are better equipped to navigate the ethical complexities of AI technologies. This could lead to more responsible AI integration across various sectors, ultimately benefiting society as a whole.

🔮 Conclusion

This scoping review protocol highlights the critical need for comprehensive education on AI ethics in postsecondary settings. By synthesizing existing research and evaluating teaching strategies, the study aims to contribute to the development of responsible AI practices. The future of AI education looks promising, and we encourage ongoing research in this vital area!

💬 Your comments

What are your thoughts on the importance of teaching AI ethics in higher education? We would love to hear your insights! 💬 Leave your comments below or connect with us on social media:

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