Pros and Cons of using ARTIFICIAL INTELLIGENCE (AI) Tools in Research

Summary

Dr. 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

• 🎓 The speaker is a multifaceted professional with roles in academia, research, public speaking, and life coaching.
• 📈 The video discusses the pros and cons of using artificial intelligence (AI) in research, aiming to inform viewers on its appropriate use.
• 🌐 AI tools are prevalent and here to stay, impacting various fields including research, and are seen as indispensable by some.
• 🔍 AI is defined as the use of computer programs to mimic human intelligence, designed to reason and behave in ways that simulate human thinking.
• ⏰ AI's benefits include making research easier, faster, reducing human effort, and minimizing bias for more objective outcomes.
• 💡 AI tools are innovative and iterative, allowing for repeated data analysis to enhance accuracy and findings.
• 🚫 The cons of AI involve ethical concerns, such as the potential for misuse, lack of emotional intelligence, and the risk of plagiarism.
• 💼 There are financial considerations; while some AI tools are free, advanced ones can be expensive, potentially limiting access for some researchers.
• 🤖 Over-reliance on AI can lead to machine dependence, intellectual laziness, and a decrease in human innovation.
• 👨‍🏫 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.
• 🔄 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

00:00

🎓 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.

05:00

🛠️ 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.

10:02

⚠️ 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.

Keywords

💡Artificial Intelligence (AI)

Artificial Intelligence refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. In the video, AI is discussed as a tool that can be utilized in research to make work easier, faster, and more efficient. The video emphasizes that AI is here to stay, and it is being integrated into various aspects of life, including research, which can lead to both benefits and drawbacks.

💡Research

Research in this context refers to the systematic investigation and study of materials and sources to establish facts and reach new conclusions. The video discusses how AI can be used to enhance the research process, making it less tedious and more efficient. It also touches on the ethical considerations and potential pitfalls of using AI in research, such as the risk of intellectual laziness and the loss of human innovation.

💡Machine Learning

Machine learning is a subset of AI that involves teaching computers to learn from data and improve from experience without being explicitly programmed. The video mentions machine learning as a fundamental aspect of AI tools, which can reduce subjectivity and enhance objectivity in research by removing human biases.

💡Ethical Boundaries

Ethical boundaries refer to the moral and legal limits within which research should be conducted. The video script discusses the importance of considering ethical issues when using AI in research, such as ensuring anonymity, informed consent, and non-maleficence. It warns against the potential unethical use of AI tools and the need for researchers to be aware of these boundaries.

💡Subjectivity and Bias

Subjectivity and bias refer to personal feelings, opinions, or biases that can influence the interpretation of data or results in research. The video explains how AI tools can help reduce these elements, leading to more objective findings since AI operates without human emotions or preconceptions.

💡Innovation

Innovation in the context of the video refers to the creation of new ideas, devices, or methods. The video cautions that over-reliance on AI could potentially stifle human innovation, as researchers might become too dependent on AI tools and less inclined to think creatively or come up with novel approaches.

💡Intellectual Laziness

Intellectual laziness is the tendency to avoid critical thinking and deep analysis, often relying on others or tools to do the thinking. The video warns that the use of AI in research could lead to intellectual laziness if researchers become too dependent on AI tools to do their work, thus not engaging in the necessary cognitive processes themselves.

💡Plagiarism

Plagiarism is the act of using another person's work or ideas without giving proper credit. The video script addresses concerns that AI tools might inadvertently contribute to plagiarism if researchers use them to generate content without proper citation or if the tools themselves are not programmed to avoid such instances.

💡Data Overload

Data overload occurs when an individual or system is overwhelmed by the sheer volume of data, making it difficult to process or analyze effectively. The video mentions that AI tools can gather vast amounts of data, which could potentially lead to data overload, hindering the research process rather than aiding it.

💡Machine Dependence

Machine dependence refers to an overreliance on machines or tools to perform tasks that could otherwise be done by humans. The video discusses the potential negative impact of becoming too dependent on AI tools in research, suggesting that it could diminish human initiative and problem-solving skills.

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

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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