Event Information
1. Understand how LLM's are trained.
2. Using a rhetorical framework, identify types of bias in AI Outputs.
3. Recognize how AI writing feedback impacts authenticity.
4. Teach students how to recognize and evaluate bias and misinformation in AI Outputs.
Autonomy & Identity in the Digital Age (SagePub 2016)
https://www.sciencedirect.com/science/article/pii/S0190740916303280?casa_token=wYOtzZdcE7EAAAAA:lzslfDX3zi5QECPeoYldeF2tz2_J7cZX2WSChLTgW5Bq6R5XiMpP5yI4RO9QS2AMdMQKQI6Fzg
Adolescents’ wellbeing using AI powered ACT tool - longitudinal study (PsyarXIV, 2022)
https://psyarxiv.com/mpx3v/download?format=pdf
Developing Middle School Students’ AI Literacy (SIGCSE, 2021)
https://dl.acm.org/doi/abs/10.1145/3408877.3432513
Ethics for AI Writing: Importance of Rhetorical Context (2020)
https://dl.acm.org/doi/abs/10.1145/3375627.3375811?casa_token=TuoF7Y2VL1QAAAAA:zfolh3hgZVZUsM1iDJJ3cMVu3b4f_4_PL5Us7iOiXe8lR6rGG7nKoygSMgRnJbcXQmANCnxLKIf8
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