About this episode

The episode discusses AI transparency in education, focusing on a framework for academic integrity in the age of generative AI.

In this episode of Deep Learning Dialogues , Whitney McKinley and Katrina Gouett dive into the heart of academic integrity in the age of generative AI. Moving away from the "policing" mindset of AI detectors, they introduce the Zero to Infinity scale, a research-based, WCDSB-specific framework designed to bring transparency to the classroom. The conversation highlights how this five-zone tool was refined with WCDSB teachers and students. By focusing on "formation over automation," the hosts discuss how educators can design assessments that prioritize the human process of learning over the final AI-assisted product. You can read the full summary article here. Explore the resources mentioned in this episode: The AI Assessment Scale (AIAS): A Framework For Ethical Integration Of Generative AI In Educational Assessment Generative AI Acceptable Use Scale Adapted by Vera Cubero WCDSB Zero to Infinity Information WCDSB GenAI Guidelines ADAPT Framework Want to know more? You can check out our: WCDSB GenAI Guidelines, infographics, and Innovation website:  https://innovate.wcdsb.ca/ Feedback? You can ask your questions or give us  feedback on the show here  Want to get in…

People in this episode

Hosts: Whitney McKinley, Katrina Gouett

Topics covered

• AI transparency
• academic integrity
• generative AI
• educational assessment
• human learning process

Keywords

• AI transparency
• academic integrity
• generative AI
• educational assessment
• WCDSB
• Zero to Infinity scale
• formation over automation

Mentioned in this episode

Organizations: WCDSB, WCDSB GenAI Guidelines, ADAPT Framework

Products: AI Assessment Scale (AIAS), Generative AI Acceptable Use Scale

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