Online Class 25 July
Summary
TLDRIn this online class, the instructor discusses the responsible use of generative AI, highlighting its history, current state, and ethical concerns such as author compensation and environmental impact. They address AI's limitations, particularly its bias towards English-speaking contexts, and the importance of human intervention to provide localized insights. Students are encouraged to utilize AI for language learning and to create outlines for assignments, while also being aware of AI's generalizations and the need for personal experience to enrich discussions.
Takeaways
- 📚 The instructor is attending a conference sponsored by Conan University and will present research for feedback, highlighting the importance of academic engagement.
- 🗓 The class schedule includes an online course this week and another in two weeks, with a reminder for students to meet on August 1st.
- ⏰ Students are advised to manage their time effectively, spending no more than one hour on lectures and exercises provided through the Learning Management System (LMS).
- 🎓 The assignment involves creating a first draft of a presentation, emphasizing the importance of demonstrating understanding of class concepts, signal phrases, verb forms, and rhetorical patterns.
- 📝 There is no need for a fancy video; the focus should be on content awareness and proper use of English language tools.
- 🔗 The LMS provides resources such as a worksheet and a platform for uploading files, with a suggestion to work during normal class time for structure.
- 💬 The instructor is available for questions and comments via email or Facebook, indicating a supportive and accessible teaching approach.
- 🤖 The lecture discusses generative AI, its history, and ethical considerations, including author compensation and environmental impact.
- 🌐 Generative AI's limitations are highlighted, particularly its bias towards English-speaking countries and the lack of personal experience in its responses.
- 📈 The controversy surrounding Taylor and Francis selling texts to Microsoft for AI training underscores the ongoing debate about data use and consent in AI development.
- 🚫 The potential for AI to facilitate cheating and misinformation is acknowledged, along with the need for responsible and ethical AI usage in academic and professional settings.
- 🌟 The opportunity for non-English speakers to contribute unique perspectives to AI is presented as a positive aspect of the current state of generative AI.
Q & A
What is the main purpose of the online class mentioned in the transcript?
-The main purpose of the online class is to provide an opportunity for the instructor to present their research, receive feedback, and guide students through the course material, including lectures and exercises.
What is the instructor's upcoming event at Conan University?
-The instructor is attending a conference sponsored by Conan University, where they will present their research the following afternoon.
How long is the instructor's presentation expected to take?
-The presentation should take no more than one hour, with an initial expectation of 30 minutes.
What is the assignment for the students during the online class?
-The assignment involves listening to the lecture, completing an exercise using the links on the Learning Management System (LMS), and working on the first draft of their presentation.
What is the instructor's advice regarding the presentation's format?
-The instructor advises that there is no need for a fancy video; the most important aspect is to demonstrate awareness of class concepts, including signal phrases, verb forms, and rhetorical patterns.
What is the controversy mentioned in the transcript about Taylor and Francis?
-The controversy is that Taylor and Francis, a major academic publisher, sold all of its texts to Microsoft to be used in training a large language model (LLM), without informing or consulting the authors, raising ethical questions about compensation and consent.
What are some of the ethical concerns associated with generative AI?
-Ethical concerns include compensation for authors whose work is used to train AI models, environmental impact due to data center energy consumption, potential for cheating in educational and professional settings, and the spread of fake news and images.
What is the bias issue with large language models mentioned in the transcript?
-The bias issue is that large language models are predominantly trained on data from English-speaking countries, which can lead to limited understanding and inappropriate suggestions when dealing with non-English contexts or cultures.
How can generative AI be used responsibly in the context of the class?
-Generative AI can be used responsibly by asking for advice on language use, requesting outlines for speeches or assignments, and critically analyzing the AI's responses for cultural and contextual relevance.
What is the instructor's suggestion for students to engage with generative AI?
-The instructor suggests that students use a free version of generative AI like chat GPT to ask questions about language use and outlines for specific topics, and then analyze the responses in the context of their assignments.
How can students submit their questions and analysis to the instructor?
-Students can submit their questions and analysis through a Google form provided on the LMS, where the instructor will review them and provide feedback.
Outlines
📚 Online Class Introduction and Generative AI Discussion
The speaker welcomes the audience to an online class and mentions an upcoming conference at Conan University where they will present their research. They appreciate the participants' involvement and provide a brief overview of the course progress. The speaker instructs the class to listen to a lecture and complete an exercise within 30 minutes to one hour, emphasizing the importance of time management. They also remind the students to work on a presentation draft, focusing on class concepts, signal phrases, verb forms, and rhetorical patterns. The speaker discusses generative AI, its history, and its evolution, highlighting the recent controversies surrounding the use of academic texts by major publishers like Taylor and Francis for AI training. Ethical concerns about compensation for authors and environmental impact due to data center usage are also addressed.
🌐 Ethical Concerns and Bias in Generative AI
The speaker delves into the ethical issues surrounding generative AI, focusing on author compensation and environmental concerns due to data center operations. They discuss the potential for AI to facilitate cheating in educational settings and the creation of fake news and images. The speaker also highlights the intrinsic bias in large language models, which are predominantly influenced by English-speaking countries. This bias can lead to inaccurate or irrelevant responses when discussing non-English contexts or regions outside the US, UK, Australia, and Canada. The speaker uses examples from their students' work to illustrate the limitations of AI in understanding local cultures and contexts, such as the potential impact of Amazon Go in Thailand.
🤖 Limitations of AI in Understanding Local Contexts
The speaker continues to discuss the limitations of AI, particularly in understanding local contexts and cultures. They use examples from their students' work to show how AI-generated responses can be misleading or irrelevant when applied to specific situations, such as the impact of Amazon Go in Hat Yai. The speaker points out that AI lacks personal experience and cannot provide nuanced insights into local cultures or the specific needs of non-English-speaking countries. They also discuss the potential for AI to replace human jobs and the importance of considering the broader implications of AI technology, such as its impact on local businesses and the environment.
📝 Suggestions for Using Generative AI in Language Learning
The speaker provides suggestions on how to effectively use generative AI, particularly for language learners. They recommend using AI for advice on writing and speaking, as well as for generating outlines for speeches and assignments. The speaker emphasizes the importance of personal experience and context in providing meaningful contributions to discussions, which AI lacks. They also highlight the potential for AI to assist in language learning by providing examples and suggestions for writing about other people's ideas. The speaker encourages students to use AI as a tool for generating ideas and starting points for their own work, while also considering the limitations and biases inherent in AI-generated content.
📚 Assignment Instructions and Encouragement to Engage with AI
The speaker concludes the lecture by outlining the assignment for the day, which involves using AI to ask two questions: one related to language skills and another about a specific topic for an outline. They encourage students to use free versions of AI services and to submit their questions and analyses through a Google form on the LMS for feedback. The speaker also reminds students to complete the form within the next 10 to 20 minutes and to proceed with their presentation and recording. They end the lecture by thanking the audience and inviting any questions, promising to see them in the next session.
Mindmap
Keywords
💡Online Class
💡Research Presentation
💡LMS (Learning Management System)
💡Generative AI
💡Large Language Model (LLM)
💡Ethical Concerns
💡Bias in AI
💡Amazon Go
💡Technology Ban
💡Personal Experience
💡Language Learners
Highlights
Introduction to the online class and the instructor's upcoming conference presentation at Conan University.
The importance of providing feedback on research during the conference for improvement.
Course progress update, mentioning the online course schedule and the instructor's availability.
Instructions for the week's assignment, emphasizing the time limit for lecture listening and exercise completion.
Clarification on the simplicity required for the presentation, focusing on class concepts and rhetorical patterns.
Details on where to find the worksheet and how to upload the presentation file on the Learning Management System (LMS).
Recommendation to work during normal class time and the option to choose a comfortable space for the task.
Invitation for students to reach out with questions or comments via email or Facebook.
Discussion on generative AI, its definition, and historical context starting with Claude Shannon's work.
Evolution of AI from early computer chess programs to modern applications like Google and Auto-correct.
The rise of generative AI in 2022 with the popularization of chatbots like Chat GPT and its competitors.
Explanation of how generative AI works, using large language models and statistical probabilities.
Controversy over Taylor and Francis selling texts to Microsoft for large language model enhancement.
Ethical concerns of generative AI, including author compensation and environmental impact.
The issue of cheating in educational institutions and the workplace due to the use of AI.
The problem of fake news and realistic-looking images generated by AI.
Addressing the bias in large language models due to the predominance of English-speaking data sources.
Example of AI-generated responses regarding Amazon Go in Thailand, highlighting the limitations of AI understanding.
The need for human intervention to provide context and personal experience in AI-generated content.
Suggestions on how to effectively use generative AI for language learning and outline creation.
Assignment instructions to use AI chat services like Chat GPT for specific inquiries and to provide feedback.
Transcripts
hello everybody and welcome to our
online class right now I'm in non Kai uh
for a conference sponsored by Conan
University tomorrow afternoon I will
present my research and it's a nice
opportunity for me to get some feedback
on my work so I appreciate you uh
participating in the online class so I
can be here uh as you know um we're
coming up about one quarter through the
course so far uh this week we have a
online course
and we'll also have an online course in
two weeks but I will see you on August
1st uh just a reminder for the plan uh
today you should listen to the lecture
and complete the exercise um using the
links on LMS that should take you 30
minutes um no more than one hour to
complete um make sure you watch your
time uh you don't want to spend too much
time on the first part because then the
second part is uh working on a
presentation um sort of the first draft
of your presentation that I'll ask you
to write and record with the rest of the
time for class I'll remind you that
there's no need for a fancy
video and the most important thing is
that you show your awareness of some of
the class Concepts the videos we analyze
together the signal phrases and the verb
forms and the rhetorical patterns um so
there also is a link on LMS for the work
worksheet and um a file to or a place
for you to upload your file um it's best
I think for you to meet during normal
class time uh but you don't have to go
to the classroom so feel free to find a
comfortable
space uh if you have any questions or
comments U please feel free to email me
or hit me up on Facebook I'll be
checking messages tomorrow uh when I
have
time so just a couple of comments about
generative AI
um as part of this class I'd like to
think about the ways in which we can
responsibly use online sources so um
thinking about the history of generative
AI uh first of all let's start out with
a definition uh generative AI is a kind
of artificial intelligence that focuses
on creating something new like text or
images the idea for AI is actually quite
old uh Claude Shannon who was a
contemporary of Alan Turing wrote some
influential papers about AI after World
War II um if you know something about
the history you know one of the first
uses and the first appearances of AI
which computer chess programs that were
able to defeat some of the world's chess
uh players um and after that um and
guess more recently you can see AI when
you're using Google or you're using Auto
correct um when you're typing on your
phone those kinds of services also are
powered by the same kind of machine
learning um that we have but things
changed a lot uh in 2022 last year uh we
started to have um generative AI that
was um popularized by chat GPT and now
there are many uh competitors um what is
how does generative AI work well briefly
stated it takes um ideas is about what's
likely to occur together what words and
concept concepts are statistically
likely to work together um programmers
get these statistics by gathering
written material into what is called a
large language model or an
llm um the initial data came from the
worldwide web and social media um but
we've sort of reached the limits of that
information and in order to expand
programmers are finding new information
to add to their llms uh last week there
was a little bit of a controversy a
Taylor and francers which is a major
academic Prof publisher bought um or
sold all of its texts to Microsoft so
that it could be used to um uh uh add to
the large language model people who have
published uh papers in Taylor and
Francis journals or published books with
the Taylor and Fran's Publishing Company
routage all of a sudden I found out that
their work is being used to train uh the
IIA the AI through the addition to the
language large language model which is
shocking to people that they were um not
told and they were not consulted on this
uh there are many uh ethical questions
about uh generative Ai and you're
probably familiar with some of them one
as you can tell this idea of
compensation for authors um people are
making money off of generative AI are
the
um are the authors being compensated for
it in most cases no uh the authors who
were publishing with Taylor and Francis
uh did not um know that there work was
going to be used and they didn't receive
any payment for those um articles uh
also um another different kind of
concern is the data center harm to the
environment uh generative AI is very
intensive use of computer processing
power which creates a lot of heat and
that means that there is um damage to
the environment every time somebody uses
uh generative AI uh of course you're
probably familiar with this uh fear that
teachers have uh about students cheating
in high school or college and also of
course uh people in the workplace who
are not doing their own work um but
using AI to um get their work done
easier
and in today's media environment fake
news and images that seem real are
startling uh today you can see pictures
of uh Donald Trump saying all kinds of
crazy things uh he certainly does say
some things that are unusual in real
life but you can also uh see videos that
have been made to look like him even
though he hasn't said those uh
words but I'd like to address one
ethical concern uh that you may not be
familiar with may not have thought about
before which is the bias that is
intrinsic to um L language learning or
large language models right where does
this data come from it comes from the
internet uh what is the internet data
like it's
predominantly speakers of English who
have written things about
English-speaking countries and so there
is a problem using the large language
model when you are talking about places
outside of the US the UK Australia
Canada those large um user bases have
contributed lots of writing that help to
tell the AI what's likely to come
together but there is a problem if you
writing in a language or speaking in a
language that is not English and you're
talking about areas that are not
familiar to the English language
speakers and this is a a problem I guess
for AI of course it's also an
opportunity uh somebody who is um
working in the United States uh might
find their job replaced by AI um but if
you want information about Thailand well
the AI doesn't seem to know too much so
let's take a look at this uh quickly uh
and look think about this bias uh that
we're
seeing when I was working with my
students in 004 last term um we were
playing around with AI a little
bit and we had that unit about Amazon go
and so I said to to them let's take a
look at what chat GPT says when we talk
about this issue of whether or not we
should bring Amazon go to
had and you can try this on your own I
use deep AI for this uh table that you
see before you
here are some of the answers I've edited
them slightly um pro version of it is
the convenience customers do not have to
wait
online uh increased access to Essentials
you can get um materials food and and
essential products uh if you don't have
a lot of stores around uh and also the
technology can help improve inventory
the cons some of the cons that um DPI
came up with are
um could potentially displace jobs uh
for existing convenience stores uh there
could be a harm to the local
businesses and the harm to Thai culture
AI claims that Tha culture places a
strong emphasis on social interactions
and Community bonding um the store where
you don't talk to the customers might be
impersonal or unfriendly by some of the
local people in Thailand so this is what
chat GPT s came up with or D came up
with um if you want to stop the video
for a second what do you think uh about
these answers in your notebook uh or if
you're sitting with somebody talk about
what you think about these answers and
then when you're ready start the video
again so this is my thinking I I'm I'm
curious to know what you think as well
um but what do you think about these
answers from chat GP
well of course one thing that students
like is that the English is very smooth
and when you read um these prompts you
say oh I wish uh my English was so clean
uh and that is definitely something true
the persuasive value of Chad GPT is
partly because of its good use of
English um but we see two types of
problems at least one of them is the
limitations of the L language model um
when we're talking about probabilities
of what words and concepts are likely to
come together those probabilities are
based on English speakers in english-
speaking countries for the most part and
so you can see that the AI does not seem
to know anything about Hadi it just
knows that it's a city uh and therefore
it makes this strange suggestion that
traffic will be um won't be so um uh
harmed uh and this idea that you know
the major concern for people in had ey
is avoiding traffic jams or causing
traffic jams is a strange idea um and
also this idea that the most important
concern is TI culture valuing social
interactions I suppose it's true that
people go to
7-Eleven with their friends sometimes
and talk but that kind of social
interaction is different from this idea
of the small store so some people you
know like to go to small stores and talk
to the owner and have a relationship uh
and that's certainly is true of places
in Thailand and others other countries
as well um but it also seems sort of
limited uh in the idea that this is uh a
big problem from Hai um also the
limitation here is that it doesn't have
any personal experience of hot yai
people who live in hot Yi go shopping at
Big stores like shopy or um lasada or so
on I mean people who want to buy things
don't necessarily go to the store to buy
them and so this um idea that people
have to go to the store is sort of
limited obviously also people haven't
been to lootus or tops or macro I mean
the idea that um people in Hadi don't
have the advantages of large stores or
shopping experiences is a little bit
strange as well uh and then of course
there's this idea that Amazon go is in
trouble if you read a little bit about
Amazon go you'll find out that Amazon is
sort of scaling back back its experience
because it's too much um too much labor
intensive for their um for their profit
margin and so something that you know we
can consider in Hai is if we invest in
Amazon ghost store I mean it could be
out of business in two years and that
doesn't come out up in the AI
suggestions at all so human intervention
here is is quite necessary let's take
another uh example from
004 we asked um chat GPT what are the
pros and cons of a technology ban in
high schools uh and the things you might
you read are sort of what you might
expect you can have better focus and
concentration enhance social skills
reduce cyber bullying and the cons are
you know maybe we should uh encourage
students to stay connected with global
networks uh if we ban technology they
won't have digital
literacy uh and the potential for
students to be cut off from each other
and this potential for isolation so
again I'd ask you to take a minute in
your notebook and discuss with your
friends if you're sitting with somebody
uh what do you think about these uh
answers um from chat GPT so you can
pause the video for a second uh and then
start again when you're
ready so here's my thinking about these
answers I mean again we see some nice
English which I think is really helpful
and friendly and and uh makes people
think that chat GPT is a good service
but when you start looking at the
answers more carefully you realize that
these answers have nothing to do with
Thailand at all you could change the
country and say what's the uh value of a
technology ban in France or what's the
the potential for a technology ban in
Nigeria and the answers wouldn't change
at all uh even the suggestion about
Global Communication doesn't really
depend on Thailand if you wanted to
think about how Thailand is you know
increasing its role in the world market
and um thinking about International
Communication as being a part of
Thailand's um new position or growing
position as a trade center and a
Transportation uh
Nexus then all of a sudden the answer
becomes real but for Chachi BT it's just
sort of this vague idea of Global
Communication of all people in the world
so again we see your personal experience
can make a big difference for your um uh
for your answers um something that chat
gbt can't really do a personal
experience also here we don't see
anything about what it's like to be a
student in a Thai High School uh so the
llm doesn't really know anything about
what it's like to be uh a student in a
Thai High School I suppose most of that
information that you find on the web is
In tha so you won't really find anything
about that um in the English language
which limits the the language learning
model um we also don't have any personal
ideas of an actual human going to high
school if you were writing about a
technology band you might talk about
your own uh personal experience of using
technology uh or how technology was
harmful while you were in school but we
don't see any of that because chat GPT
doesn't isn't a person right it doesn't
have any personal experiences
and another thing in context of what
we've been talking about in a class for
the last few weeks you know it doesn't
think about what it's like to be a a
learn a person learning English somebody
learning English can do a lot with
technology and depends on using
technology and access to English
language sources uh and so this idea
that language Learners need technology
it's not something that's on the mind of
people in English-speaking countries and
for that reason people don't write about
it on the internet and then people don't
um upload that to the large language
models and it doesn't become part of the
answers for chat GPT so again we see a
real person especially outside of an
English-speaking country has an
opportunity to add something really
great to the
conversation so that being said what can
generative AI do well here are my
suggestions for you on how you might
want to use it one thing is really great
for uh language Learners you can always
ask chat GPT for advice on what you're
trying to do for instance today you're
going to be writing a speech about
signal phrases for somebody else's ideas
well you can ask chat GPT can you give
me some suggestions on how to do that
and it'll come out real quick here's a
bunch of ways that you can uh describe
uh something somebody else's ideas and I
think that kind of um use of chat GPT or
generative AI can be really helpful uh
gives you um some ideas of what to do in
your own writing or your own speaking uh
to get ready for a
presentation um the other thing might be
um might be helpful as well oh sorry
also just not for nothing but look at
the verb tenses and the suggestions from
generative AI author's name believes
that it is argued by it is argued by
author's name suggests remember we had a
problem with that last week um but it is
true that when you're talking about
somebody else's ideas you should use the
present tense and Chad GPT knows that
and uses the present tense in those um
examples okay uh anyway second thing
that you might want to try is um um
asking for a um
uh asking for a framework an outline
right now you can ask chat GPT to get
you started on an outline this
assignment and all the assignments that
you do for class and and even when you
go into the workplace they're going to
not fit exactly in with with with what
CH chat GPT thinks right but you can ask
uh for some advice on how to get started
so if you ask an outline ask for an
outline for making a speech about the
liberal arts um you'll get a bunch of
things right I just give you the first
three points here but uh start with a
thought-provoking question introduce the
topic right talk about the definition of
the liberal arts the value of a liberal
arts education right and those kind of
things can be improved by your own
writing you can also ask a more specific
specific question uh you know you can my
question is sort of General a speech
about the liberal arts but you can ask
something with more details and say what
you're exactly you're looking for and
you might get an outline that you can
then fill in with your own uh thinking
um so again it's very general right it's
sort of you know sounds like anybody
could have written it um certainly it
applies the most to people in
English-speaking countries and this is
the problem we've been talking about in
class there's a limitation to these
ideas which is that they're focused on
people on english- speaking countries
but again I will say that's a problem
but also it's an opportunity right the
world definitely needs to hear from you
and to hear from what it's like to be a
language learner or a liberal arts
student uh and a country that doesn't
speak English as the first language and
that's a really exciting opportunity I
think for all of us
okay so your part of your assignment for
today is to give it a try um use your
favorite AI chat GPT will work um
whatever you want to use you can but
don't pay for anything uh you can use a
free version uh like um
https chat gp.com or whatever one that
you want to use uh and ask two questions
like I on like the ones in this lecture
ask one advice for langu anguage use
skills type question and ask another
question about an outline but use a more
specific topic which will give you a
better response uh and then you'll see a
link in uh on the LMS for a Google form
where you can put your um questions and
your um analysis of them into the form
so that I can read them and make some
feedback later so this first part of the
class was just about 20 minutes so
within the next um 10 to uh 20 minutes
please finish the form on uh the LMS and
then move on to your um presentation and
make that recording um for me to look at
later uh that information is also
available on the
LMS okay thank you for your attention if
you have any questions please reach out
and I will see you next week
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