Season 3: Examining Biases in Educational AI - Chapter 2

Summary

The conversation explores the promises and perils of AI in education, focusing on bias, data sets, and the impact on students of color. It delves into the ethical considerations and offers solutions for addressing bias in AI. The discussion emphasizes the importance of acknowledging bias, critically evaluating AI systems, and incorporating critical and analytical information literacy strategies.

Takeaways

AI in education presents both promises and perils, particularly in relation to bias and its impact on students of color.
The bias in AI is influenced by the data sets used and the curation of that data, highlighting the need for critical evaluation and oversight.
Addressing bias in AI requires acknowledging its existence, developing authentication mechanisms, and incorporating critical and analytical information literacy strategies.
Bringing diverse perspectives to the table and utilizing AI as a conversation partner can help in addressing bias and working toward positive change in education.

Sound Bites

"Examining bias in educational artificial intelligence is important."
"The bias in AI tends to manifest in large language models and image generators."
"The school to prison network: a direct connection between schools and systems treating black and brown bodies as disposable."

This episode was produced in conjunction with Chillhop Music. Song listing and credits are below: