Response to the prompt: "Summarize the equity issues raised by generative AI use in the higher ed classroom, in a web-friendly form for college students to read" by You.com:
When universities integrate generative AI (such as AI-generated content and teaching materials) into higher education, it creates issues of equity for students. The risk is that students from marginalized communities, who may not have access to advanced technology, may be at a disadvantage compared to their peers.
Additionally, AI-generated content may perpetuate biases and stereotypes already present in our society.
If instructors rely too heavily on AI-generated content, it could reduce the role of educators in the classroom, creating a less personalized and less engaging learning environment.
These issues need to be addressed as AI is more widely adopted in higher education.
Google Bard's response to the same prompt:
- Access: Generative AI tools can be expensive, and not all students have equal access to them. This could widen the digital divide and create an AI divide, where students with access to generative AI have an advantage over those who don't.
- Bias: Generative AI tools are trained on large datasets of text and code, which can reflect the biases of the people who created those datasets. This means that generative AI tools can produce biased output, which could further disadvantage marginalized groups.
- Academic integrity: Generative AI tools could be used to cheat on assignments or exams. This could give some students an unfair advantage over others, and it could also undermine the value of a degree.