Autumm Caines and Maya Barak discuss generative artificial intelligence (AI) on a podcast. They talk about the importance of being skeptical, students' lack of awareness about data privacy, and the need for better tools to distinguish truth from fiction. They also explore the ethical concerns surrounding AI and its impact on academic integrity. Additionally, they recommend the Five Calls app for political activism and the TV show Julia on Max for exploring ethical questions.
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Quick takeaways
Being skeptical is important when it comes to generative AI and its impact on teaching and learning.
Students should be more thoughtful about the data they provide to AI platforms and consider potential privacy risks.
Deep dives
Exploring the Scholar in Residence Program
The Scholar in Residence program at the University of Michigan-Dearborn is a unique approach to faculty development. It brings in an external expert in teaching and learning to be a part of the campus community for an extended period of time. This program goes beyond one-time workshops or keynotes and aims to integrate the expert into the campus environment. The program has hosted a variety of experts in the past, each focusing on different themes. The program's goal is to provide expertise, foster community engagement, and create a space for collaboration.
The Digipede Dearborn Community of Practice
Digipede Dearborn is a community of practice that focuses on digital pedagogies. It started as an informal gathering of faculty interested in exploring innovative ideas for online and in-person courses. The community quickly grew and became a space for sharing and experimenting with digital pedagogies. It offers a platform for faculty to engage in conversations, learn from one another, and apply these ideas in their teaching practice. The collaboration between the Scholar in Residence program and Digipede Dearborn provided a unique opportunity to combine expertise and foster a culture of innovation and critical pedagogies.
Critical Reflections on AI in Education
The implementation of AI in education raises important ethical concerns. The podcast episode highlights the critical voices discussing AI's impact on teaching and learning. It explores concerns about privacy, data use, and the potential for AI to perpetuate inequalities. The episode emphasizes the need for a critical approach to AI in education that challenges traditional pedagogical models and promotes innovative, creative, and inclusive forms of teaching. The conversation also touches on the complexities of plagiarism in an AI-driven educational landscape and the importance of preserving student agency and assuming positive intentions in their learning journeys.
Exploring AI and Higher Education
The podcast episode delves into the topic of AI in higher education and its potential implications. It discusses a first-year seminar focused on artificial intelligence, where students researched how AI will impact their future careers. Privacy concerns related to AI tools and their influence on academic integrity are also addressed. The episode highlights the importance of critical engagement with AI and the ongoing need to examine its effect on identity, teaching practices, and social justice. It provides various recommendations and resources for further exploration of AI in education.
Autumm Caines + Maya Barak help us with expanding our collective understanding of generative artificial intelligence (AI) on episode 501 of the Teaching in Higher Ed podcast.
Quotes from the episode
It’s good to be skeptical.
-Autumm Caines
And I feel like a lot of times students sign up for all these accounts without reading the terms of service, without reading the privacy policy, without thinking about the data that we’re giving over, and without thinking about how that data could be used by a company.
-Autumm Caines
In a world of AI, it is becoming more important to be able to be more critical about the information that’s coming to us and to have better tools available to sort out the truth from the fiction or fictionalized.
-Autumm Caines