InFocus featuring UMass Professor of Learning Technology Torrey Trust

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InFocus with Patrick Berry featuring UMass Professor of Learning Technology Torrey Trust.
from the 22 News plus studio.
This is 22 News in Focus with Patrick
Barry. Hello everyone and welcome to
today's edition of InFocus. I am your
host Patrick Barry and today we are in
the 22 News Plus studios talking about
something that is overtaking all of our
lives whether you know it or not. I'm
here with Tori Truss. is a professor of
generative excuse me a professor where's
your super there it is a professor of
learning technology at the University of
Massachusetts thank you uh Tori for
being here I greatly appreciate your
time what do you do on the campus of
UMass when it comes to AI
>> well my job as in the college of
education is I teach future teachers and
future educators how to use technology
and with generative AI coming out I've
had to bring that into my practice very
rapidly And so often I'm exploring it
with my students. And so I'm helping
future educators think through what is
the role of generative AI technology in
their future practice, in their personal
lives, in their professional lives. And
I also teach a first year seminar called
AI for college success, helping first
year students across the entire
university think through um what are all
the issues and ways to use generative AI
for learning.
>> Okay, so let's start off with my most
simple question. I know have I have a
broad concept of what AI is, but you've
you've used the term generative AI. What
does that mean? Well, generative AI is
artificial intelligence that can
generate or create something new.
Whereas in the past, like traditional
AI, something like, you know, Siri or
Alexa, you know, those could follow like
analyze data, recognize it, make
recommendations based on the data they
have about you. But generative AI can
make whole new information, generate
images, generate text, a lot of
different things.
>> So in the previous forms, if I'm
thinking about this correctly, the the
Siri and those those sorts of things,
you would ask it a question or type
something in and it would search the
internet to provide you information.
What's the weather? It'll give you, you
know, the weather, what's, you know,
whatever it is. Generative AI, you ask
it more specific questions and then it
creates it surfs the worldwide web for
information and creates an answer.
>> Oh, let's take a streaming service for
example, like Netflix. You know how you
go to watch a movie and then all of a
sudden there's a recommendation for
something similar you might like. So
that's based on a ton of data collected
about you from Netflix and other
companies to try to figure out what
exactly you would want to watch. And so
that's traditional AI. It's using big
data set to recommend something to you.
It's kind of a single task,
>> tracking what you've done previously and
suggesting future things.
>> Yeah. So, kind of like pattern
recognition, whereas generative AI could
make a whole new Netflix movie in a
matter of seconds.
>> Wow.
>> It could write the script. It could it
could, you know, um come up with the the
scenes, the shots, all of that.
>> It's interesting because uh recently in
the news in Hollywood, a a generative,
and correct me if I'm wrong, a
generative AI actress was created. And
now that's the the big push back.
>> Yeah, I'm not saying Netflix uh should
ask Generative AI to make one of its new
movies. Um but it it there's the
capability. It could help with script
writing. It could help with
storyboarding and yeah, now there's an
AI actor and I know that's causing a lot
of um outcry because it's it's looking
pretty real and that's pretty scary.
>> So I want to pull up a little bit of
data or a little a visual here. Um this
first one is chat GPT which I think most
people have heard of chat GPT in Gemini.
Uh so this chat GPT prompt is walking us
through what?
>> So so so there's some new changes in
chat GPT. When it first came out you
wrote a textbased uh prompt. It came out
with a textbased response but it has
changed and evolved with new
programming, new data. So it can now
generate a brand new infographic in a
matter of seconds. It can search the
web. Originally it was not connected to
the web to make uh responses and it can
code it can write in real time and it
can even do deep research which a lot of
companies have promised is like having a
PhD in your pocket but I don't quite
agree with that statement.
>> Why not?
>> Um well so I had to do deep research on
uh what I did for my dissertation which
is how teachers learn through social
media professional learning networks.
And it did. It looked at about I don't
know 30 or 40 different sources. it
wrote a 20page paper and it from like
surface level was actually not too bad.
Um but when I started diving in word by
word I was thinking you know this is um
not fully accurate. Like if a student
submitted that to me I would say you
didn't actually understand the
literature. You you pieced some things
together but you didn't truly understand
what the literature is saying. And so
deep research is kind of meant to be a
literature review or market analysis or
something you can hand off to AI to do
to save you hours of time. I just don't
think it's fully there yet to be
something really trustworthy.
>> So, it does the work, but the work isn't
100% accurate.
>> Correct. Yes.
>> In in simple terms.
>> So, be careful, but you know, user
beware.
>> Yeah. And it could be a place like you
go like I could have it do deep research
on something I'm interested in exploring
like generative AI in a first year
seminar and it'll go through like 30 40
50 resources. Then I would go through
those resources on my own to verify that
the information is accurate and build my
own literature review. I think that's
the the best approach to using it.
>> So it it does it quickly, but you still
have to go back and proofread basically.
>> Yes. Yes. Definitely, you know, fact
check to evaluate the the quality and
the the summaries because these tools
can definitely get stuff wrong.
>> Wow. All right. The next one I'm going
to pull up is
uh it looks like this is a it's coding.
It's like canvas um interactive I think
is what it's called.
>> Yeah. So this is one of Gemini's new
features. So they have a tool called
Canvas which chatpt also has canvas and
they both of those platforms can write
or code in real time and you can
actually make edits in real time. But
what I really like about the new Gemini
canvas features, you can code a game or
you know code or write a brand new
interactive learning experience. So in
this example like helping others
understand their odds of winning the
lottery, you can ask Gemini to code a
game for that and you know with friends
and family play the game and think more
about, you know, those odds. So it
becomes an educational tool. And if
you're an educator who wants to create
something like that for their students,
but don't have the the coding knowledge
to create a game, AI can do that now.
>> So, can I use AI to win Powerball?
>> That's a good question
>> because I'm on that tonight.
>> I, you know, so I ran that the the tool
that, you know, the the lottery tool
that it made and it took like it just
started running through. I got to pick
six numbers and it started run through
like when my chances of like actually
winning the Powerball and it just kept
running and running and I thought I
broke my computer. So, I think it really
showed to me like my chances are very
very low. There's still a chance
>> just like going to your local
convenience store and buying a ticket.
>> Yeah, just the same thing. But um I
don't think you know generative AI
technologies are um predictability
machines so they guess. So yeah, they
could guess six numbers for you. So you
could also guess six numbers. Yeah.
>> All right, we're up on our first
commercial break. Tory Trust, PhD from
UMass, is here with me today in the 22
News Plus studios. We're talking about
artificial intelligence. We'll be right
back.
>> This is 22 News in Focus with Patrick
Barry.
This is 22 News in Focus with Patrick
Barry.
Welcome back to today's edition of In
Focus. We're talking about artificial
intelligence. Sitting across the desk
from me is Tori Truss. She is a
professor of learning technology at the
University of Massachusetts in Ammerst.
Tori, thank you so much for joining me.
There we've only talked about chat GPT
and Gemini that little tiny much, but um
there the the world of AI is everywhere.
There there are countless
ways to use it. Chat GPT and Gemini I
think are probably the two most popular,
but there are there are tons and tons of
different ways to use it. Am I correct?
Yeah. And you know, there's tons of
generative AI technologies. There was a
database I looked at several months ago
that was tracking over 5,000 generative
AI tools or tools with generative AI
built in. Even things like Canva, the
very popular graphic design tool, has a
whole magic AI suite that can use AI to
generate a presentation for you in a
matter of seconds or even a a quiz or
self assessment um websites. It's uh
social media posts all through AI.
>> All right. So, I'm going to pull up this
video here. This is um about studying
and learning.
>> Yeah. So, you know, more recently, uh,
chat GPT came out with a study and learn
mode and Gemini then followed that with
guided learning mode. Claude has learn
mode. And so, all of these tools
companies realize one of their bigger
use biggest user bases is students,
right? So, they're trying to figure out
how do they make these tools more
helpful or more appealing to students.
And so they've come out with this mode
that AI is meant to serve as a tutor
that walks you through how to solve
problems or think through concepts or
understand complex ideas um in a way
where it's built on like questions and
um support rather than just giving you
the answer right away.
>> So but to your point earlier in this
conversation, this is all well and good,
but you got to go back and prove it.
Yeah, I you know I a lot of students are
using these tools for looking up
information, better understanding
information, especially when they're
struggling in class with understanding a
concept. Um, but I don't think I would
ever really fully trust what these tools
have to say. I would go, you know,
verify with other sources on the
internet or other individuals, experts
to make sure that what you're learning
from these tools is actually accurate.
You know, we're looking at a uh a sample
there a moment ago about mathematical
formulas and so forth. And if I if I
recall correctly in that sample you sent
me, the math wasn't adding up, was it?
>> Yeah. Well, that was that was my fault
as the user in getting the math wrong
and seeing what chat.
>> Oh, so you intentionally
>> I intentionally got it wrong to see if
it would just give up and give me the
answer right away and it sort of did
after two tries. um and then kind of
just quickly moved on and you know I
really don't trust these tools for math
and science in particular because
they're not calculators like you know
even if you go to Google and you know
put in a multiplication question it will
turn into a calculator and and use a
calculator respond these tools are still
guessing machines and guessing how to
put words together or numbers together
to make the most human sounding
response. Um, and so that's really
important to understand when it comes to
math learning is it's not an expert by
any means. It's just guessing what an
expert might say.
>> You use the word guessing so many times,
but that sounds accurate.
It doesn't sound accurate. It is. It's
just guessing of based on the data
that's out there in the in the web
world. It's guessing based on all that
information what the answer to your
question is. And it's not always right.
>> Yes. Yes. And it's not like it's like
completely wrong. Like, you know, in the
deep research that was 20 pages, there
might be a couple sentences that are way
off that are either made up or just
completely wrong. But
>> but it could change the entire dynamic
of what you're submitting or what you're
talking about if there's one or two
sentences wrong.
>> Oh, yeah. Yeah. Generally, I I mean,
when a student submit work to me that
looks AI generated, it's pretty obvious.
Usually, it's like a personal reflection
and the student very clearly just didn't
do it. And you know that generative AI
is the response is too broad. It will
sometime make stuff up that we didn't
cover in class. Um so yeah, you can use
these tools for learning, but you can
also very much shortcut your learning if
you're not doing the going back and
double-checking, reading, fixing,
remixing the words.
>> Uh I want to pull up a an image now or a
scene collection now about um it's I
believe this is the one where it's
creating a story book. Yeah, there it
is.
>> Yeah. So Gemini came out with a new
feature where you can basically create a
story book with just a you know human
natural language prompt like write a
story book about uh you know this
individual explaining the water cycle uh
which is what this story book is. And so
if you're having trouble teaching your
kids about the water cycle, if your high
schooler is struggling with a concept
that they're exploring in class, um you
can ask Gemini to turn it into a story
book. And storytelling is actually one
of the most powerful ways to learn and
make something memorable. So, there's
benefits to that. But, interestingly,
when I had Gemini create a story book
last week on dividing fractions, um, one
of the characters had three arms because
it needed to hold all three fractions.
So, you know, you you still want to be
really careful with these tools.
>> So, what we just saw was it created a
flip book. Yeah, it created the the um
the um not characters but the images the
the what look like handdrawn images. AI
created all of that.
>> All of that in a matter of maybe a
minute for that whole book. Yeah.
Programs the whole thing.
>> So I have I have to be guilty. I was
learn I was reading an article several
months ago about the music industry and
what's what did an artist really write.
So I went on to I forget whether it was
chat GPT or Gemini. I don't recall. And
I said, "Write me the song lyrics based
on and I forget what my prompts were. I
think it was I I I use the old country,
you know, I lost my truck. My dog ran
away. My wife left me and and I'm, you
know, and I'm in sitting in a bar and it
pumped out I mean that that's all I put
in and it just it pumped out entire song
lyrics."
>> Oh yeah. These tools can also pump out
entire songs. I mean tools like Sunno
and UDIO you can create full
>> it'll add the the musical side
>> and the singing and the singing to it
and so but you know you worry about like
how these tools were trained very likely
on copyrighted music stolen or um that's
still up for debate right now in the
courts um taken from artists without
compensation or permission from
>> Oh absolutely well that was the whole
New York Times lawsuit right was and
that was initially against I think it
was is it chat GPT
>> chat Open AI. Yeah.
>> Yeah. So, OpenAI um they were gathering
copyrighted information from the New
York Times. You got to be very careful
with that.
>> Yes. So, use in their training and there
was a big uh you know um court case over
summer for Anthropic which created
Claude and the finding was yes you
actually can train your tools on copy
copyrighted data under the fair use
guidelines in US copyright law. but the
the collection of copyrighted data. So
basically they pirated a whole bunch of
copyrighted books to train their
materials that they found to be illegal
and they would have to pay damages for.
So that it's still really tricky with
copyright. I was just reading an article
the other night uh a travel blogger
wrote about and I I forget which country
it was Peru somewhere down in in South
America where this couple typed into AI.
They wanted to go on this hiking route
and it was they could have gotten killed
based on misinformation
that a that AI put out.
>> Yes. you don't. My dad was also recently
using AI to plan a trip of his and he
said it was to Tahiti and he was like,
"Hey, one of these islands doesn't
actually exist." So, I didn't have that
problem,
>> but he did find it to be helpful in some
instances. Like it found some hotels he
wasn't able to find in his initial
search. So, I do think there are ways
that AI might be able to save you time
of like doing a ton of research to
narrow things down, but then that's when
you want to go um you know, verify the
accuracy and credibility of everything
that these tools say.
>> This is amazing. We still have more to
go. We're up on our sec second
commercial break. We'll be right back
after this.
>> This is 22 News in Focus with Patrick
Barry.
This is 22 News in Focus with Patrick
Barry.
>> Welcome back to today's edition of In
Focus. I'm your host Patrick Barry.
Across the desk from me is Tory Trust.
We're talking uh artificial intelligence
and your brain is probably spinning as
much as mine is because it is so
overwhelming to know how AI is kind of
permeates our life right now and and
everything that we do virtually. Uh but
I I got to tell you, Tori, I'm I think
I'm pretty adept at picking up on AI
generated images and videos. They just
don't look right. They in general, yes,
but I think they're getting better and
better and harder to recognize. I
actually had my students design a quiz
where they have a whole bunch of
realistic images and then they have to
create AI generated ones um that are
similar enough to the realistic and you
have to guess and they have their
friends and family complete their
quizzes and they say, "Oh, you know, my
parents didn't realize that all of this
could be AI generated or my friends or
roommates." So, I think we're still just
now discovering how realistic these
images can be. Well, because you can go
into and I think uh my my kids have told
me Tik Tok has a way where you can go in
and you can take a picture that's on
your phone, upload it to Tik Tok, and it
will create like a dancing video. Like I
could take a picture of you, upload it,
and all of a sudden say, you know, have
Tori dance the a salsa and it just
create you as a standing image.
>> Y
>> that's interesting. I just saw a blog
with the new Sora 2 that came out with
So that's OpenAI's video uh generator
tool. So they came out with Sora, they
just came out with Sora 2. And this
person who was blogging basically
uploaded I think from their like
shoulders up said like three sentences
total. And then it took all of that data
and had a video of him walking on the
Great Wall of China with Sam Alman
together having a conversation climbing
the Eiffel Tower being in a jet plane
and it it looked like you knew it wasn't
real but it looked pretty real. And so
it makes you think a lot about uh
students today and what that means for
their social media and their social
spaces. if you can put yourself into any
situation with AI.
>> Well, you know, it's interesting because
there's a there's a new I wouldn't even
call it a fat, a new concern out there
that's AI companions where kids are
I don't even know how I would call it
hanging out with these computergenerated
people. I don't Yeah. and and they're
they ask these computerenerated
friends information like, "Oh, hey, you
know, my mom is bullying. They're, you
know, telling me to do my laundry all
the time. What should I do?" And it's
giving you this information that's
frightening.
>> It is really frightening. And and
there's a couple ways this happens. So,
there are tools like Character AI and,
you know, even maybe within Snapchat or
Meta where there are kind of characters
that you're talking to. And in other
cases, people are just using like chat
GPT in Gemini, and it seems so
humanlike, they believe they're talking
to a human, right?
>> Um, and what's even scarier is students
in some cases, like the most recent, um,
really awful case where this a student
lost their life, um, they had been using
ChatGpt for, you know, help with
homework, help with studying, and then
started having longer conversations with
ChatGpt and really started believing
what ChatGpt was saying. Um, and chat
GPT did not have any guardrails in place
to prevent that student from self harm.
And
>> wow.
>> So, you got to be really careful because
these tools are what uh, you know, my
field calls sickop fans. They basically
are designed to please you. And so, I
don't know if you've ever tried catchy
PT, but like every first response you
get is great idea or that's an awesome
suggestion or let me think of look at
the very first couple of words and every
time it responds to you, it's generally
very positive, uh, very uplifting. And
so um you know some people started
saying this is too much and and the CEO
of OpenAI Sam Alman kind of toned it
down and then people went opposite
direction said oh no we really need this
like I don't have anyone positive in my
life who is a yes person who Right.
Right. Yeah. That's also really
worrisome. And so now they're turning to
AI to to fill that need for them. And
and as you mentioned it's not it's not a
character. It's not human. It's
literally a predictability machine
figuring out which words go together to
manipulate you into thinking it's human.
So
>> this last video that I'm going to pull
up, this is uh chat GPT canvas. Explain
that.
>> So chat GPT canvas, similar to Gemini's
canvas, uh is something where you can
write in real time. You can basically,
in this example, I prompted it to write
to a couple paragraphs, which it did
within a matter of seconds. And then you
can change the formatting, you can
change the length, you can change the
tone, the reading level. You can even
add emojis with a click of a button. And
it really goes to show when you're
thinking about the ethics of these
tools, like students now have access to
tools that with either a few words or
even a click of a button can do full
assignments for them. And so it brings
up a lot of issues around academic
integrity and ethics of these tools in
schools.
>> But I think, you know, I've talked to,
you know, some superintendent and some
teachers. I think they're fully aware of
this obviously. Is it smart for school
systems to embrace AI from the aspect of
like our conversation here? Yeah, it's
great. It's it's useful, but here are
the warning signs, you know, um, and are
there ways for school districts,
teachers,
you know, in individual classrooms, can
they doublech check to see if something
is AI generated or if it's, you know,
originally generated from the student,
you know, to your point earlier, you
know, some of this stuff just doesn't
look like you thought put much thought
into it,
>> right? Two big questions around what
what can schools do? um Gemini or what
Google over summer decided to put Gemini
into all Google Workspace for Education
accounts, students and teachers really
without uh telling a lot of schools.
They just kind of made it open.
>> Um and some schools ended up just
turning that feature off. And then I
started to ask, well, you know, what
about the students who don't have access
to these tools at home or the upgraded
versions at home, but if they can come
to school and use Gemini workspace, you
know, within their Google Docs and their
their education suite, um, it's more
private, it's more secure for the for
what they type, the data that they
include. It's it does have a double
check feature, I found out today. So
there there's more safeguards put in
place,
>> but it's getting better and better as as
each with each passing hour, quite
frankly.
>> Actually, no.
A recent study found that hallucinations
of these tools for open AI models is
getting worse with the newer models,
right? So
>> I take that back, folks.
>> It's challenging to figure out. So, like
I do think schools should play a role in
helping students just figure out these
tools, when to use them, when not to use
them because they're going to play a
huge role in their future in college, in
career, in their personal lives, um,
companionships and beyond. And if we
don't have those conversations with
students in schools, they may not get
those conversations at home. Um, so
there's that aspect. And then I really
quickly want to address, you mentioned
how do we identify AI generated work.
There's there's some tools out there
like AI text detectors. um they don't
work with 100% accuracy and this is
creating a whole new problem with
academic integrity is you know they're
around I think some of the better models
around 94 95% accurate but that means
like in a large class 100 students
you're taking six students and falsely
accusing them of using AI to do their
work and so it's created a lot of
anxiety for students and fear around
these tools and with all of these false
positives I don't use any of those tools
I basically If something looks AI
generated to me, I say you've got to
have a conver, you know, have a
conversation with me in office hours and
prove to me you know the information and
you did the work. Um, and sometimes
that's enough to to convince students
not to use these tools is having to come
talk to the professor.
>> Tory Trust, I cannot thank you enough
for joining me today. Unfortunately,
we're out of time. I I would love to
invite you back on this show because I
I've only touched the tip of the iceberg
when it comes to AI because I'm so
fascinated by it.
>> Yeah. Thank you so much for having me.
>> Thanks for being here.
This is 22 News in Focus with Patrick
Barry.
