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This presentation examines critical AI safety factors when utilizing AI systems in academic settings. Key areas include mitigating inherent biases, protecting sensitive data and ensuring compliance, addressing accuracy concerns in AI-generated outputs, and exploring ethical implications. Best practices will be covered for the responsible and transparent use of AI-generated content in educational environments.
Identify and address potential biases in AI systems to ensure fair and unbiased outputs.
Implement strategies to safeguard sensitive information when using AI tools.
Evaluate accuracy concerns and establish protocols for responsible, ethical utilization of AI-generated content.
“I had no idea that copy/pasting a student email into ChatGPT could be a FERPA issue. This session completely changed how I use AI.”
- A real community college instructor (probably)
Next: Bias in AI