AAiCC: M2S1 - Ethical Foundations, Bias, and Data Privacy in AI
Автор: Clover Park Technical College Teaching & Learning
Загружено: 2025-10-31
Просмотров: 41
Explore the ethical foundations of artificial intelligence in education. This session dives into how bias forms in AI systems, how data privacy shapes trust, and what educators can do to promote fairness and transparency in AI-assisted teaching and learning. Learn to recognize hidden bias in training data, examine ethical dilemmas in your own discipline, and create practical strategies to protect student data and promote responsible AI use.
🧠 LEARN Focus
🎧 Listen: Understand bias, fairness, and data privacy in AI systems
🧭 Explore: Run bias checks on sample prompts and revise for inclusivity
✍️ Apply: Develop a bias-checking protocol and draft a privacy disclaimer for your syllabus
🤔 Reflect: Journal about ethical challenges unique to your discipline
🤝 Network: Share your bias-check protocol and privacy statement on LinkedIn for peer feedback
📚 Learn more and connect
🎓 Enroll in the Canvas course: https://cptc.instructure.com/courses/...
📺 Watch the full series: • Applied AI in College Classrooms
📬 Get updates and bonus content: https://forms.gle/iNoZAZCX9EbA1DRs9
💬 Join our educator community: / 15183039
🌐 Connect with the course creator: / rlethcoe
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