Do you wonder how AI impacts the integrity of your research data? Are you concerned about hidden biases within automated tools? This workshop introduces algorithmic awareness as a vital skill for modern scholars. You will examine case studies like the COMPAS system to understand how code reinforces social inequality. We provide specific tools to help you identify factual errors and AI "hallucinations" in your output. Participants learn to value human perspectives over machine-generated summaries to ensure inclusive research practices. This session serves incoming graduate students looking to build an ethical foundation for their academic careers.

This workshop is designed with doctoral students and postdocs in mind. If you have any questions, please contact [email protected].