That's awesome

... yes, and I have been everything from a, you know, a tenured professor to an academic dean to a director of teaching and learning and, um, for many years, not only in higher ed, I've moved to the corporate side, to the workforce side in higher ed, trying to connect universities to the needs of our labor market, to our workforce market, so that's sort of my background, and then I think that's why Schiller found me.

That's how they found me, but I think my most unique, unique, um, you know, proposition probably would be that I've been in Tampa Bay for 35 years, and so I have, you know, I raised my children here, got married here.

I started my career in education in Tampa, and as you know, and as you mentioned, Schiller International University, we are a US university.

Um, our headquarters is in Tampa, Florida, 400 North Tampa Street to be exact, so come visit us.

Um, but because of my background and my years of experience and my life, my livelihood, my friends, my business connections, my world is Tampa, so Schiller, um, invited me to the team to really look at the Tampa market, the US market, but specifically the Tampa market, to grow our footprint here, and, um, and it's just a pleasure to be on EdUp, and I get to work with, every single day, a wonderful and talented individual, Dr. Saib Othman.

He is our provost, um, many, many years of experience also in academia.

Yes.

Why is this so important?

This is potentially a game changer for data rights.

So right now, anybody who's ever tried to ask a, not only a data broker, but any of the companies that you contribute data to, to delete your data, to, uh, limit the sale of your personal information, it's a one-by-one process.

You can engage with some private companies who offer these services, and they are allowed to do that under California law.

Uh, but in general, it's, it's a lot of time and it's a lot of work.

Uh, and, you know, when it's all of us having to take that time individually to do this type of work, which, you know, is not fun, nobody wants to do this, this is nobody's [chuckles] idea of a good time, filling out these forms repeatedly and submitting them.

So it, it limits the extent to which we can really kind of have an impact at scale on the data that's bought about us and, you know, sold and shared in ways that we're not generally aware of what's happening.

What are some of the other solutions that you suggest to really give consumers, you know, better control over their data and actually force data brokers to comply with these policies?

Why is this so important?

This is potentially a game changer for data rights.

So right now, anybody who's ever tried to ask not only a data broker, but any of the companies that you contribute data to, to delete your data, to limit the sale of your personal information, It's a one by one process.

You can engage with some private companies who offer these services and they are allowed to do that under California law.

But in general, it's it's a lot of time and it's a lot of work.

And, you know, when it's all of us having to take that time individually to do this type of work, which, you know, is not fun.

Nobody wants to do this.

What are some of the other solutions that you suggest to really give consumers better control over their data and actually force data brokers to comply with these policies? So the interesting

That's not correct.

That is not correct.

So we know for sure that the majority of concussions, you do not lose consciousness.

So typically, if there's an injury that you get hit to the head, you have a headache and something else, it's most likely a concussion.

Um, uh, is that still the practice that we should do? Or what should we do if we suspect a, a concussion?

So absolutely no cocoon therapy.

We don't want them in a dark room.

Maybe a few days of rest, but then back to school and back to light activity because that's gonna get them to recover the fastest.

If a, a student gets knocked out or, or, uh, you know, takes a big hit, they nec- don't necessarily lose consciousness, that doesn't mean that they're necessarily ready to go back to play, right?

Absolutely.

So over 90% of concussions, you don't lose consciousness.

So the majority of them, you don't get knocked out, and you just have some symptoms like headache and something else.

So the most important thing is if you even suspect a concussion, we wanna remove them from play because then we can get them back faster if we do that initial rest period.

So how do you start that conversation with the student to say, "Hey, if you're not feeling 100%, you need to tell us"?

Yeah.

Right.

Yeah.

And it's the internal bias.

But sometimes it's not even done negatively.

Typically, it's a younger front desk personnel.

And we're hiring is typically demographically under 30.

And they're wanting to be, you know, they might see a... someone that looks like their grandma or grandpa or their mom or dad, they want to show them all the resources.

And typically what's been utilized and from their bias is that cardio area.

Sure.

To begin, when people include information and prompts they give to chatbots, who owns that data?

Well, I would argue that you lose possession of it.

I looked at the privacy policy of one popular AI chatbot and it's very clear from their privacy policy that any data that you provide them, ideally through that prompt, answering that prompt, much like a search box, goes to them and they will potentially use it for training purposes.

Now, they may use it for all the normal things that companies have been using data for decades, to improve their products and services, personalization.

But in that, even in this context, they explicitly state that they may use that data for retraining, which I think is one of the concerns that a lot of us might have, that our data is not just going to be stored, but is going to be repurposed essentially.

And King says just because you give data over to chatbots, that doesn't mean that data will pop up somewhere else.

And, of course, if you enter something identifiable, they may actually be working to strip identifiable data from the training set or when it's being processed and being used by the chatbot, they may try to make sure that full names, for example, aren't spit back out in the context of a discussion.

So the guardrails will really matter, but there's certainly been research for, over the last few years that has found instances where, not necessarily chatbots per se, but LLMs in general have repurposed or spat out memorized data that has mostly just been found online.