Pros and Cons of using ARTIFICIAL INTELLIGENCE (AI) Tools in Research
Summary
TLDRDr. I, a lecturer and researcher, discusses the pros and cons of using artificial intelligence (AI) in research. AI's benefits include ease, speed, reduced bias, cost-effectiveness, and innovation. However, concerns arise regarding ethical boundaries, potential plagiarism, high costs, data overload, over-dependence, intellectual laziness, and job displacement. The video encourages a cautious yet innovative approach to AI in research.
Takeaways
- π The speaker is a multifaceted professional with roles in academia, research, public speaking, and life coaching.
- π The video discusses the pros and cons of using artificial intelligence (AI) in research, aiming to inform viewers on its appropriate use.
- π AI tools are prevalent and here to stay, impacting various fields including research, and are seen as indispensable by some.
- π AI is defined as the use of computer programs to mimic human intelligence, designed to reason and behave in ways that simulate human thinking.
- β° AI's benefits include making research easier, faster, reducing human effort, and minimizing bias for more objective outcomes.
- π‘ AI tools are innovative and iterative, allowing for repeated data analysis to enhance accuracy and findings.
- π« The cons of AI involve ethical concerns, such as the potential for misuse, lack of emotional intelligence, and the risk of plagiarism.
- πΌ There are financial considerations; while some AI tools are free, advanced ones can be expensive, potentially limiting access for some researchers.
- π€ Over-reliance on AI can lead to machine dependence, intellectual laziness, and a decrease in human innovation.
- π¨βπ« The speaker emphasizes the importance of human initiative and critical thinking, suggesting that AI should be a tool to assist, not replace, human effort in research.
- π AI's role in research is not static; it's subject to change with new innovations and should be approached with an understanding of its evolving nature.
Q & A
What is the main topic of the video?
-The video discusses the pros and cons of using artificial intelligence (AI) in research, helping viewers understand the advantages and disadvantages of AI tools in academic settings.
Who is the speaker and what roles do they play?
-The speaker is a lecturer, researcher, public speaker, and life coach who provides content on sociology, migration, relationships, and research.
What is AI, according to the speaker?
-AI refers to the development of computer programs that mimic human intelligence. It involves creating systems that can think, reason, and make decisions like humans.
What are some benefits of using AI in research?
-AI can make research faster and easier, reduce human effort, decrease the risk of bias, save time, and improve objectivity. It also allows for iterative processes in data analysis, helping researchers achieve more accurate results.
What is one major concern regarding the use of AI in research?
-One major concern is the ethical implications, as AI tools may not handle human samples or sensitive data with the same ethical care as human researchers. Issues like plagiarism and over-reliance on AI can also arise.
How can AI reduce bias in research?
-AI tools, being machine-based, do not have emotions or biases, which allows them to process and interpret data more objectively, minimizing the risk of human error or subjective judgment.
What is a potential downside of relying too much on AI for research?
-Over-reliance on AI can lead to intellectual laziness, as researchers may depend too much on AI tools instead of engaging in critical thinking and innovation themselves.
What are some ethical concerns mentioned regarding AI in research?
-Ethical concerns include potential violations of anonymity, consent, and the misuse of human data. AI tools may not always follow the ethical guidelines that human researchers are trained to observe.
Can AI tools be expensive?
-Yes, while some AI tools are free, many advanced AI tools can be costly, making them less accessible to researchers in developing countries or those with limited funding.
What does the speaker suggest about the future of AI in research?
-The speaker acknowledges that AI has come to stay, but warns that researchers should use it with caution, balancing its benefits with its limitations and ethical considerations.
Outlines
π Introduction to AI in Research
The speaker, a lecturer and researcher, introduces the topic of the video, which is about the pros and cons of using artificial intelligence (AI) in research. They emphasize the importance of understanding AI's role in research, especially within traditional research networks. The speaker acknowledges that AI is here to stay and is being integrated into various tools and software, impacting how research is conducted. They highlight the need to discuss the benefits and drawbacks to make informed decisions about AI's use in research.
π οΈ Benefits of AI in Research
The speaker outlines the advantages of using AI in research, such as making work easier, faster, and reducing human effort and stress. They mention that AI tools are available to assist with various research tasks, from social to natural sciences, and can save time and energy. AI is also noted for its ability to reduce bias and enhance objectivity in research by leveraging machine learning and thinking. The speaker points out that AI tools can be cost-effective, with many free options available, and they are innovative and iterative, allowing for continuous data analysis and more accurate findings.
β οΈ Ethical Considerations and Challenges of AI in Research
The speaker discusses the potential downsides and ethical concerns associated with using AI in research. They raise issues such as the lack of emotional intelligence in AI, which can lead to ethical boundaries being crossed, and the risk of plagiarism if AI-generated content is not properly managed. The speaker also addresses the cost of advanced AI tools, which may be prohibitive for researchers from less affluent backgrounds. They caution against over-reliance on AI, which could lead to data overload, machine dependence, intellectual laziness, and a decrease in human innovation. The speaker concludes by emphasizing the need for caution and critical thinking when using AI in research.
Mindmap
Keywords
π‘Artificial Intelligence (AI)
π‘Research
π‘Machine Learning
π‘Ethical Boundaries
π‘Subjectivity and Bias
π‘Innovation
π‘Intellectual Laziness
π‘Plagiarism
π‘Data Overload
π‘Machine Dependence
Highlights
Introduction of the channel's focus areas: sociology, research, migration, and relationship.
Introduction to the video topic: pros and cons of using artificial intelligence (AI) in research.
Emphasis on AI's growing relevance in research despite traditional reservations.
AI tools make research easier and faster, reducing human effort and stress.
AI tools are always available and can reduce time and costs in research.
AI tools can help remove bias and enhance objectivity in research.
AI tools can be free, but some of the stronger ones require significant investment.
AI tools can save researchers time and energy by automating data collection and analysis.
Ethical concerns: AI tools may lack ethical judgment and can lead to issues like plagiarism.
Excessive reliance on AI tools can lead to intellectual laziness and reduced innovation.
AI tools do not replace human thinking; they assist but still require human oversight.
AI can go out of fashion, and researchers should not depend on it indefinitely.
AI may cause redundancy in jobs previously performed by humans.
AI's strength in providing more accurate findings due to the lack of human error.
The importance of understanding both the advantages and disadvantages of AI to make informed decisions.
Transcripts
hello you're welcome you're welcome on
to my Channel today and it gives me
great J to observe you this video I am
Dr I am a lecturer in the University I
am a I'm a researcher I'm a public
speaker I'm a life coach on this channel
I do a lot of things but all the stuffs
I do you can easily cluster them into
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previously thank you very much for
staying tuned today I want to address a
very important topic within the
framework of research research so what's
the title of today's video PR and cons
of using artificial intelligence
a in in
research
how can you make informed decision pros
and cons of using artificial
intelligence a high in research there
are so many tools that now clustered and
categorized as artificial intelligence
so there's this debate around what are
the benefits of using AI tools what are
the what are the
disadvantages of using a tools and this
discussion I want to I want to call
contribute to because this would deter
me how
acceptable utilization of artificial
intelligence and the association tools
are in research especially within some
traditional conventional research
networks so I I want I I I want to
explain this so that we can know is it
useful is it not useful is it beneficial
is it not beneficial especially in I
mean conservative traditional
environment personally I've done a lot
of research search around this and I've
made some observations around this
utilizing ai ai Tools in um in in in
research across the world so um and I
have many colleagues who still think
they have their reservation there are
some colleagues that are very open and
welcoming students now use it and one
fundamental thing I want you to note is
that AI has come to stay whether you
like it or not whether you Bel belong to
the modern group or traditional group
the truth of the matter is that AI the
tools that can cize as artificial
intelligence the tools are here to stay
there are many of them the popular one
GPT people keep saying all man of things
many softwares are now calibrating to
accommodate or a tools so we have to
agree with the fact that a high has come
to stay in every area of life you see
the footprint of artificial intelligence
different rules and reset cannot be an
exception so so in research artificial
intelligence continue to be very
relevant students use it for assignments
researchers use it for different things
so I want to let us know that it has
come to stay is a
reality and we have to continue to
engage in it so there are so many pros
and cons in in this area you know
artificial intelligence simply means
utilization of computer you know it's an
aspect of computer science actually AI
it's an aspect of computer science mean
development of comp computers and um
programs to mimic human intelligence
utilization of programs computers to to
imitate human intelligence human
thinking this is what we call artificial
in and it's called artificial because
it's not natural we just programming
designing programs to reason like humans
to use intelligence to to behave as if
they humans are behaving in in in
certain ways so that's why we call it
artificial because it's not human it's
not natural yeah it's it's a
metaphorical term to say computers
machines reason reasoning intelligently
like humans so that's what AI is mean so
and there are so many pros and cons you
know that we can that can help us to
decide what what to use I still do
another video a number of videos around
this I'm just using this as a name as an
introductory video into this matter I
talk about softwares and some other
things some a tools so St St to this
number one is that you have to know
artificial intelligence especially is to
make work easier to make work easier
make work faster you know make research
easier make research faster and you know
reduce human effort human stress this
artificial intelligence and you know the
tools within this framework of AI that
will make work
faster more less tedious you know and uh
you know redu it to to reduce human
stress and AI tools are always available
there are so many of them I was make a
video and this direction to show you
some tools that you can use in research
whether social research natural research
there are many tools you can use even in
assignment uh you know and you know it
saves time and it reduces risks that
humans are exposed to in research you
know there are many AI tools that can
reduce your risk reduce your stress save
time AI to saves time they save time and
they always available they save your
energy then there's a major problem in
research the problem of subjectivity and
buyas so AI tools can assist you to
reduce bias remove subjectivity and
enhance your objectivity because it's
consumer is machine learning machine
thinking so the buyers the the humans
put in research the hair TOS can remove
it so you know that what you are getting
machine machines or tools a tools don't
have sentiment they don't have emotion
so there is unbiased interpretation and
Gathering of nature in this and this is
a major strength of utilizing a AI Tools
in research and it reduces cost there
are so many free um AI tools that you
can use quite a lot of them I will
mention this you know in my subsequent
video many free you don't even need
subscription AI tools that you can use
so it saes your the time you go and be
used to WAND up and down in laboratory
or on the road Gathering D can assist
you in doing this and it's it's
Innovative it's an innovation we must be
able to Innovation it's iterative also
you can go back to back and forth to
collect your data to learn from your
data and continue to work on it un like
human and you never betired you can
manipulate I mean you can gather data
and begin to analyze it over and over
and begin to condition your laboratory
condition your field condition your data
so is iterative you can go back back and
forth in it and it gives you more
accurate findings whether you like it or
not I don't I don't know who you are
what you think but AI tools when you
deploy them they tend to be to give you
more accurate information because they
they don't they are very they are they
don't you know they are unbias and their
level of error you know is very low
compared to this so what are the conss
what are the conss what are the
downsides the major one is the unethical
angles to it you know if you use
machines are machines or tools don't
have emotion they don't have attitude so
sometimes you can't control how how much
their ethical boundaries will be for
example if you use AI for your
literature review for your data analysis
for your report writing for your
assignment sometime people have the we
want human beings to learn but now human
beings are using machine so the and
sometimes you have the issues of issues
of plagiarism though I know some of this
software now some of these AI tools now
they are calibrated in a way that they
can beat software anti plalism
algorithms or some of them now they are
calibrated in a way that they can even
write for you that this anti software
can beat them but many anti software now
they have this uh a high detection in
your work many of them I've seen them I
have a number of them that can that can
I discover you use AI because education
is to teach human beings to learn but
when you begin to rely on machine too
much then it defeats the purpose of
learning iide that though I quite agree
there's a way you can use a high don't
get me wrong you can use a high tools to
the extent that there'll be no of
plagarism I know but what I'm saying is
that if you're not careful you can still
be cut in this and again when you use AI
Tools in your researches sometimes where
human being can cure themselves and say
this band I'm going can may be unethical
even in of taking human samples handling
human
information a may not be able to
discover not be able to do this to set
the boundary even though you can control
it you may say no it won be that bad but
there's this issue there so you have to
be conscious of the ethical issues when
you use AI Tools in your research you
have toay to ethical boundaries to what
extent are you going in terms of
anonymity informed consent non non Mal
you know and non coaltion non non invas
invasiveness intrusion you don't want to
intrude people or you don't want to
mandle human samples and the rest of
days these are ethical procedures you
may have to know in ter of beneficience
also in the long run this eal procedures
are also there there are issues that
human beings can manage this but what
about machines programs may not able to
manage it so the ethical issues are
there so many so if you are using AI
tools make sure that you pay to this
ethical debates and make sure you you
are not cut in them and sometimes they
can be AI can be expensive though there
are free ones but many strong AI tools
are not free so if we say it's free it's
cheap it's say because there are some
that are not cheap that you may have to
invest a lot of money so if you don't if
from poor countries you don't have a lot
of money for your research you may not
able to use strong AI too so it's not
entirely
too too cheap like that then you may be
exposed to too many data you know a can
begin to gather too many data for you
and so so sometimes you have too many
data and have data overload they also
they may have excessive machine
dependence sometimes you know you you
depend too much on machine like I said
earlier this is a big problem because we
want human beings to to still take
initiatives of all of this so when you
begin to have too much machine
dependence is a lot of it's a lot of
problem you know and uh and with human
beings have to be careful and again
another major issue is that when you say
a high TOS it still depends on human
being Mach listening for themselves this
is a great it's a great frog because you
use AI tools you still to be the one to
think for the AI too you know you want
to do literature review and want to say
okay search this search this keywords
you know if you use different ones I
will mention in my next video you use
different ones I do thinking the tools
are just to assist you they can't do the
thinking for you that's say artificial
intelligence the one that will do the
human thinking so don't be the illusion
to say okay maybe once I use this you
cannot get excellent result in your
research if you don't take the lead you
have to take the initiative in the long
run otherwise that be problem you won't
be able to make much so still human
dependent that you have to know and
another cons is that it can build
intellectual laziness once you believe
can have S you have inad to engage in
critical thinking that are very
important in research you may seit this
this realization to your machine to your
tools and it's a problem so you can
bring intellectual laziness to think so
deeply you begin to think machine begin
to think for you and you become a medoc
so you see you are the the one that must
take the lead in your research to be
able to use the right to AI to and begin
to optimize that to so if you leave it
at the level machine will just sort me
out then you are going to build you
going to be intellectually a medoc in
the long run and you know another many
things you know it can defeat human
Innovation because when people begin to
think that machine can also do it for me
AI will do it for Me Your Capacity to
innovate begins to take the backseat and
it's a major problem don't forget a can
also go out of passion so you still have
to be very careful and do your work
yourself to a large exent and come to
the realization even this say high will
help me what you do if tomorrow we
talking about something something else
is you know AI is an innovation
Innovations come and go like Thomas talk
about the structure of scientific res
Revolution science will come and another
Innovation will throw it out of out of
out the way another will come so don't
come to think AI will be forever at your
dispos another one may come so so just
realize that it may go out of fashion
also and another con is that it does not
allow self learning you know you can't
self learn they give you assignment you
go to ha High everything you go to ha
High how do you not learn by yourself
some people develop this a so if it's
people that brought this Innovation if
you over depend on AI then you can't
learn forward that's a major problem
then people say to redundancy works that
human being used to do he has will begin
to do them and then people will go out
of job it will take job away from people
so people are thinking about
unemployment machine taking over a is
taking over leaving getting Men He women
out of their jobs so these are pros and
cons the essence of this video is to
give you the advantages and
disadvantages so that you can make
informed decision for me I believe AI
has come to stay is for humans to begin
to take advantage of AI but with caution
so you don't want to depend too much on
on on AI tools you don't want to remove
yourself learning you don't want to
become mechanically dependent on machine
you don't want to lose your Innovation
and you don't you don't want to be
trapped in Innovation issues that
ethical issues that a can draw to but
ultimately if you take this pros and the
cons I'm sure the next time you want to
use AI you know what to look out for
subscribe and meet me in my next video
as I talk about AI more and some
specific softw tools you can use
subscribe and tell other that bye for
now
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