A Rhetorical Framework to Detect Bias and Misinformation in AI Outputs
,
Virtual
Session description
Outline
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.
Supporting research
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
Presenters


Session specifications
Topic:
Grade level:
Audience:
Attendee devices:
Attendee device specification:
Laptop: Chromebook, Mac, PC
Tablet: Android, iOS, Windows
Participant accounts, software and other materials:
Subject area:
ISTE Standards:
Empowered Learner
- Use technology to seek feedback that informs and improves their practice and to demonstrate their learning in a variety of ways.
Learner
- Stay current with research that supports improved student learning outcomes, including findings from the learning sciences.
TLPs:
Related exhibitors: | Amplify Education, BBC Studios Americas, Inc., Center For Responsive Schools, AVID Products |