EP 18 - Dr. Brandeis Marshall talks about AI in the classroom, making assignments un-AI-able, data science, and the new digital AI divide.

In this episode, John and Jason talk with Dr. Brandeis Marshall about making online assignments Un-AIable, understanding data science, concerns & opportunities of using AI in the classroom, and the new digital AI divide. See complete notes and transcripts at www.onlinelearningpodcast.com 

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Dr. Brandeis Marshall Links and Resources:

• Dr. Brandeis Marshall’s Website and LinkedIn
• What’s Un-AIable by Dr. Brandeis Marshall on Medium (Paywall)
• Book by Dr. Marshall - Data Conscience: Algorithmic Siege on our Humanity
• WaPo article on Harriet Tubman and Khan Academy and Dr. Marshall’s article how not to use AI
• Rebel Tech Newsletter

Other Reading / Resources:

• These Women Tried to Warn Us About AI
• On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?

Dr. Brandeis Marshall Bio:

Brandeis Marshall is Founder and CEO of DataedX Group, a data ethics learning and development agency for educators, scholars and practitioners to counteract automated oppression efforts with culturally-responsive instruction and strategies. Trained as a computer scientist and as a former college professor, Brandeis teaches, speaks and writes about the racial, gender, socioeconomic and socio-technical impact of data operations on technology and society. She wrote Data Conscience: Algorithmic Siege on our Humanity (Wiley, 2022) as a counter-argument reference for tech’s move fast and break things philosophy. She pinpoints, guides and recommends paths to moving slower and building more responsible human-centered AI approaches.

Transcript

We use a combination of computer-generated transcriptions and human editing. Please check with the recorded file before quoting anything. Please check with us if you have any questions!

Intro

[00:00:00] Jason: Some banter on the front end.

[00:00:02] Brandeis: Oh, I'm great at banter.

[00:00:03] Jason: Oh, good.

[00:00:04] Brandeis: I've been teaching for 23 years, so you have to have that conversation with the students before classes begin.

[00:00:13] Jason: If you like banter, then you've come to the right place because This podcast is mostly banter

[00:00:18] John: I'm John Nash here with Jason Johnston.

[00:00:21] Jason: Hey, John. Hey, everyone. And this is Online Learning in the Second Half, the online learning podcast.

[00:00:27] John: Yeah, and we are doing this podcast to let you all in on a conversation we've been having for the last two and a half years about online education. Look, online learning's had its chance to be great, and some of it is, but a lot of it still isn't. So how are we going to get to the next stage, Jason?

[00:00:43] Jason: That is a great question. How about we do a podcast and talk about it?

[00:00:47] John: I love that idea. What do you want to talk about today?

[00:00:50] Jason: um, to talk with you, of like usual,

[00:00:53] John: That's overrated, but

that's

[00:00:54] Jason: but I would also love

to talk to you. a very special guest with us, Dr. Brandeis Marshall. Welcome.

[00:01:01] Brandeis: Thank you both for having me.

[00:01:03] Jason: And is it okay if we call you Brandeis?

[00:01:05] Brandeis: Yes, feel free to

[00:01:06] Jason: Okay. Thank you. It's so great to have you here. And Brandeis, I'd love for you to introduce yourself, but just in, in general she's the founder, CEO of Data edX Group, a data ethics learning and development for educators. scholars and practitioners to counteract automated oppression efforts with culturally responsive instruction and strategies. Not only that, but she has a background in education. And we'd love to talk to you a little bit about that. What would you like to say about yourself here today?

[00:01:40] Brandeis: listen. I am an educator, a data person. Like I think everyone is at this point in this age of AI and whatnot what, and what it isn't and what it is. And yeah, I'm also just, I just lead black women in data as well, which is really focused on increasing the number of black women in the data industry.

So that's all I want to say about myself. I have books and I write things an