Ethical and Pedagogical Considerations
Academic Integrity
Faculty should model and promote ethical AI use. This includes transparency about AI-assisted work and guiding students on appropriate use in coursework.
Bias and Fairness
AI models may reflect societal biases present in their training data. Faculty should critically evaluate AI-generated content and consider its implications for equity and inclusion.
Misinformation and Deepfakes
Be aware of the potential for AI to generate misleading or harmful content, especially in media or political contexts.
Intellectual Property
AI-generated content may inadvertently infringe on copyrights. Faculty should be cautious when using AI to create or adapt course materials.
Privacy and Data Use
Understand how AI tools collect and store user data. Avoid inputting sensitive or confidential information into AI systems.
Environmental and Labor Impacts
AI development and deployment have environmental costs and raise concerns about labor practices in data labeling and moderation.
Digital Equity
Not all students or faculty have equal access to AI tools. Consider how AI use may widen existing gaps in access to technology and support.
