WEBVTT
Kind: captions
Language: en-IN

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a very warm welcome in module 2 of week four of
the course intellectual property dispute code

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practices and enforcement now today's session is
like focused on intellectual property artificial

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intelligence and the disputes which are arising
considering Ai and IP we have to just focus we are

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not bothering about what Ai and applications and
we are just bothering about we are just concerned

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about the disputes which are arising due to the
IPA now mainly if we just we will just go into

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the details of that IP different types of ips
and then the AI and then the dispute we will go

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in that direction but just appreciate that the
major concern here comes in between the authority

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which is granting the patents or giving the rights
that IP rights that is a sovian of state and the

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inventor these are the parties here these are not
like a in the dispute generally we may be of

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the like mainly we are concerning that the theft
has happened individual individual corporates and

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such kind of parties are there right but here
mainly if you see this P this disputes you will

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find more disputes related to the we can say
that why because the grant of that particular

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patent is rejected by the patent offices of that
country and then the inventor or the applicant

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is like a if inventor is obviously applicant or
liant they are like a raising that particular

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issue and addressing it through the court so that
is generally the mainly the scenario now we will

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see why this particular kind of a scenario is
there now when we are talking about artificial

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intelligence now IP we have understood second week
we have completely dedicated to like briefly recap

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that particular types of ips so we are very
well aware about IP but now we are talking about

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its connection with artificial intelligence so we
should know what is that artificial intelligence

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is we are not going into details of that but just
a few like important things which we are like a

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required to know considering the IP disputes which
that only we will just concern that only we will

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focus on now we know that artificial intelligence
it is a technology what it enables computers and

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machines to simulate the human intelligence and
then the it has the problem solving capability

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so it's in short it is a advanced technology
where computer computer related activities

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or computer Technologies Advanced computer
technology having some human intelligence

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and that is also due to the technology that we
have to appreciate okay so that is a scenario

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now if you see another sense what that artificial
intelligence is that is intelligence exhibited by

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machines and particularly computer systems and
it is in the field of that computer research

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that computer science research there are lot
of studies are going on and there software

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and then the machines are like U the the research
is related to that using of that software and

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enabling machines to perceive the environment
and use learning intelligence and that way

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what is happening they are like achieving a that
particular defined goal whatever you have kind of

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having a that in mind to solve the problem so it's
like a the research is pushing that usage of a

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that particular ular technology and by using this
particular software and machine languages and all

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this particular thing is resolved now some high
profile applications of artificial intelligence

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we know that web search we are doing in the Google
that Google search everybody do that thing so how

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that particular thing is done or recommendation
system you go for the purchase or when you search

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some word automatically the advertise related to
that start coming right or there is a something

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like a you human speech that is a very useful
kind of app and then the interaction is happening

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autonomous vehicles are there right generative and
creative tools are there we are very well like

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that chat GPT related lot of kind of discussion
already it's going on and we are like well aware

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about that so it is like a just like a these are
all applications of artificial intelligence what's

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exactly happening that here the Technologies
are that enable computer to perform a variety

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for advanced functions okay that is like ability
to see translate spoken and written language

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analyze data making recommendations all this
kind of activities are done by this now here the

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combination is like it is a we can in another word
we can say artificial intelligence is a highly

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interdisiplinary subject because it's not only
Computer Sciences which is involved along with the

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Computer Sciences mathematical that optimization
is there logical like logical and reasoning

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activities are there psychological activities
are there that some some inputs from the

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philosophy some input from psychology some input
from linguistic Sciences statistics economics

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so all these Sciences neurosciences is there so
so many fields are involved and that fields are

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giving inputs it's a highly interdisciplinary
subject and then we are getting the different

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kind of outp outcome that is a like a in short if
you want to focus it is a artificial intelligence

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we have to appreciate that okay now if this is
the scenario where is the problem when we are

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talking about intellectual property and artificial
intelligence where exactly the problem comes now

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we have yesterday in the session I have I have
given you idea that technology we have discussed

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again that particular thing that okay how Market
is affecting that okay different four types of

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competitions are there in the market and then
there are like a like two com two types like

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that perfect competition or monopolistic
competition that is perfectly fine but when

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oligopoly and Monopoly comes their issue comes
and then IP related disputes are coming right

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similarly here what exactly is happening when
we are talking about artificial intelligence

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why disputes are there again the traditional
system traditional legal system whatever is there

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like that ethical consideration arise here but
particularly like a inventorship and authorship

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related issues are coming so what happens if AI
generat works is there that is artart and music

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so software and that that software is like a
generated so challenge to the traditional IP

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framework is like a we are talking that okay
author should be a human Creator or inventor

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should be a human so our laws are like limited to
human or Max we can say that legal entity you see

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company law and all that we are talking about
that legal entity now here what is happening

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the artificial intelligence technology
is developing something now the question

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comes to whom we should give that right of that
authorship or a inventorship that is a that is a

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main issue which is coming here right so this
ownership rights so that is again questions if

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inventorship and authorship are in the in the is
the issue obviously ownership is the issue here

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so how the balance can be made between the
human creation and the cre by the machines

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in by this interdisciplinary highly developed
area that is artificial intelligence how that

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balance can be strike to resolve that issue
so this is a research for a legal that legal

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domain research is there so we are again we are
working on that particular thing but this is the

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issue as of now that we have to appreciate
so main issue is like a that inventorship

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and authorship because something which is
generated by Machine cannot be considered as a

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authorship or inventorship as per the law as for
the ACT okay so that is a important thing is there

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now this AI generated inventions and patentability
if we see there are the policy changes are also

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there that legal policy changes are coming into
the picture and that also we have to address

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so as we have said the technology development is
always fast then it comes a legal development

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right so it is always like a reaction so it
will come afterwards only but yes definitely

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we will have answer to that particular issues in
a time to come definitely okay now next is like

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okay we have understood that particular thing
let us see the one example of a dabus actually

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so this Dr stepen Teller probably you might be
knowing about the this issue davus this davus is

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what exactly davus is nothing but a device for the
autonomous bootstrapping of a unified sentence now

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what happens here exactly here when we are talking
about that tus here there is a like a it is like a

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taking into consideration that connection of that
AI employs multiple neural networks to generate

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new ideas so ideas are generated by the machine
not by the human Creator and now based on that

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actually huh so that that that daus system
has given two inventions actually one is like

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a fractal food container and second is a neural
flame actually right now the question is machine

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has already given that idea that is working that
is giving the result whether we are giving a that

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inventorship to the machine that is the question
and this professor the tler he is like a that

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Dr stepen he is like a obviously he approached
Court to get that particular the patent grant for

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this particular what happened in New Zealand in
Taiwan in Israel South Korea Canada Brazil India

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obviously that will not be granted so that is not
that patent application is not granted in South

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Africa Saudi Arabia it is under consideration
we never know what will be the outcome of that

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particular that examination so this is the
situation but the fact we have to appreciate that

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the machine is able to create the ideas which are
workable giving the workable Solutions products

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and services which are patentable but the question
is now who will be the inventor that is the issue

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and act is not considering machine as a inventor
okay so you will appreciate now what exactly they

00:11:09.840 --> 00:11:15.680
isue now the this question of inventorship when
we are talking about this is a very important

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in that AI generated inventions and this is
complicating the issue so there is no definite

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criteria for deciding on that autonomously
generated inventions by so this is where we

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have to deliberate actually to resolve the issue
probably this is one of the issue I can say there

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are other aspects are there but I'm just giving
you broad idea that this is one of the issue

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now this particular patent system which is current
patent system either you take a India jurisdiction

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you take us jurisdiction EU jurisdiction obviously
it is not able to address this issues related to

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AI generated inventions and therefore court is
coming into the picture and then the different

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policies are coming to the picture regulatory
authorities are coming into the picture because

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this is the immediate we can say the remedies
are through this particular systems okay so

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because if you want to change the patent law
deliberations and all that thing it will it is

00:12:15.680 --> 00:12:23.640
a time-taking activity actually right so now the
the further thing is like a how research Scholars

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are looking into that we understood this is a
problem now this is particular thing which is like

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address which should be addressed by the research
scholar that's how this challenge can be resolved

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so some research Scholars if you see they are like
suggesting that placing artificial intelligence

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generated Creations into the public domain and we
can have a shared benefit now just you just see

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the Phil that jurist Prudential ways of a patent
system now so here they are suggesting okay keep

00:12:53.280 --> 00:12:59.360
into the that open it into the public domain and
have a shared benefit like a Open Access kind of

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thing but it will be a like not completely
open kind of innovation or not completely

00:13:04.200 --> 00:13:09.560
open access there will be a control so that is a
one suggestion some research Scholars are giving

00:13:09.560 --> 00:13:15.320
the others are give that pent protection for
AI work to is necessary that you should have

00:13:15.320 --> 00:13:20.440
some system some guidelines that you should
give a patents to the AI otherwise people the

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companies the corporates they will not invest
on the this particular AI related activities

00:13:27.280 --> 00:13:32.960
so incentivization theory is there so that
is somebody's like arguing based on that

00:13:32.960 --> 00:13:40.920
particular Theory okay so that is another kind of
suggestion is coming okay so the concerns exist

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that an overabundance of a patent for AI may it
have a negative impact so that is another kind of

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argument is coming that suppose just like you
see India scenario we we have like very Restricted

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Section 3K is there now you relate it with the AI
related activity Now what is is happening here we

00:14:00.280 --> 00:14:07.680
are arguing that if there is a more AI that
inventions if you if that get protected what

00:14:07.680 --> 00:14:12.680
will happen they will restrict negative right no
it is a patent giving a negative right so they

00:14:12.680 --> 00:14:17.840
will restrict that research and development that
is a another issue will come so this is another

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argument coming from the research scholar so
when we are talking about this particular

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thing these research Scholars are thinking
in a different way and one more issue they

00:14:27.160 --> 00:14:32.360
are raising like related to trade secret because
what will happen if you go more and more into the

00:14:32.360 --> 00:14:38.440
details of artificial intelligence obviously trade
related issues will come now how the the question

00:14:38.440 --> 00:14:43.520
okay this is resarch Scholars how court is looking
into or how IP offices are looking into it so you

00:14:43.520 --> 00:14:48.280
can just check here that if you see the court
system if you see the Australian federal court

00:14:48.280 --> 00:14:54.160
here what they are talking about they they have
given the option of determining inventorship and

00:14:54.160 --> 00:14:59.720
the suggestions are giving that given by the
Australian cour that owner of the machine running

00:14:59.720 --> 00:15:06.240
the artificial intelligence software that
the developer so you have to think about the

00:15:06.240 --> 00:15:13.240
developer think about me whether we can give the
inventorship to that software developer or we can

00:15:13.240 --> 00:15:20.040
think about the source code copyright who has kind
of a written so we know that author that source

00:15:20.040 --> 00:15:26.240
code is like a written author is a like owner so
you think about in case of a copyright whosoever

00:15:26.240 --> 00:15:32.040
has written that code he will be the author and
author is the owner as per Copyright Act so that

00:15:32.040 --> 00:15:39.000
is another suggestion is coming next suggestion is
that individual who inputs the data because this

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is a machine machine is working based on the data
so which data should be fed to that machine who

00:15:45.560 --> 00:15:51.240
is deciding obviously individual is deciding so
consider whether that individual be the inventor

00:15:51.240 --> 00:15:57.960
that is another kind of a suggestion is there
if you see the UK that office actually they

00:15:57.960 --> 00:16:04.520
are like a expand ing definition of inventor
to include human responsible for a AI system

00:16:04.520 --> 00:16:09.440
generating invention so they have they have just
they have just considered that particular factor

00:16:09.440 --> 00:16:18.120
that human responsible for an AI system generating
invention so that as a inventor that one thing I

00:16:18.120 --> 00:16:25.680
guess that is a simple and very good move
by the UK IP office that human intervention we

00:16:25.680 --> 00:16:31.800
are talking about a microbiological lied that
patents we are talking about a human intervention

00:16:31.800 --> 00:16:37.200
so similarly here they are suggesting human
intervention the person who is responsible for

00:16:37.200 --> 00:16:43.560
that particular artificial intelligence system
now allowing AI to be named as a inventor or

00:16:43.560 --> 00:16:52.280
protecting AI devic inventions through means
that is a like they are suggesting but that

00:16:52.280 --> 00:16:57.800
that is under deliberation that is not accepted
because if you see the patent granted by EU or

00:16:57.800 --> 00:17:06.040
european that Union or UK the number is very
less actually right as as usual us is always like

00:17:06.040 --> 00:17:11.160
anything under the sun will be patentable so you
can just see the if you see the data you will see

00:17:11.160 --> 00:17:16.680
that particular difference actually so just just
check this data actually if you see the AI

00:17:16.680 --> 00:17:22.400
patents granted in the different jurisdiction
China is like highest number is there

00:17:22.400 --> 00:17:31.000
percentage wise if you see 61% USA 21% and EU UK
is like a 2% only you can just see here and then

00:17:31.000 --> 00:17:37.840
the rest of the world if you see it is a 16% so
that is the scenario so you can just see this is

00:17:37.840 --> 00:17:44.400
a self-explanatory kind of a graph to give how
the different jurisdictions are reacting towards

00:17:44.400 --> 00:17:54.000
the artificial intelligence related patents right
now if you see the China in 2022 35,000 plus

00:17:54.000 --> 00:18:01.880
patents are granted USA 12,000 plus patents are
granted this this is the scenario right so the

00:18:01.880 --> 00:18:06.920
jurisdiction wise now if you are somebody from
you is working in artificial intelligence and

00:18:06.920 --> 00:18:12.320
if you want to get a patent you just think about
this particular graph China and us is giving the

00:18:12.320 --> 00:18:17.360
granting that particular patents comparative
to other jurisdictions so you can just think

00:18:17.360 --> 00:18:23.840
about that particular thing okay so this is all
the scenario about the that particular patent

00:18:23.840 --> 00:18:28.920
we have just focused on the patent and I have
given you idea that inventorship is the issue

00:18:28.920 --> 00:18:34.920
and human inventor is the act is defining act
guidelines are human should be the inventor

00:18:34.920 --> 00:18:39.760
machine cannot be inventor that is the issue right
even in the copyright I have just given you there

00:18:39.760 --> 00:18:46.200
that okay music is like generated by a but it is
like a author author is like a very important now

00:18:46.200 --> 00:18:51.720
just just see now the copyright related we'll
just go little detail in that copyright so if

00:18:51.720 --> 00:18:57.640
you go into this particular copyright protection
and artificial intelligence a few cases if you the

00:18:57.640 --> 00:19:02.400
landmark cases are there monkey selfie case
probably you are very well aware about that

00:19:02.400 --> 00:19:08.520
particular that is Naruto versus latter cases
there so you know that case that here by Mystic

00:19:08.520 --> 00:19:16.320
that monkey has taken that particular camera and
then the photo was click and then the that

00:19:16.320 --> 00:19:22.760
that Animal Welfare that Association they have
said that yes you should Grant a payent to the

00:19:22.760 --> 00:19:28.720
narut and Naruto and all that so that discussion
was there obviously but not because human that

00:19:28.720 --> 00:19:36.320
it is very important so obviously that patent was
not that copyright was not allowed but that

00:19:36.320 --> 00:19:43.200
because as per Copyright Act photographer is the
author here monkey is a photographer because it is

00:19:43.200 --> 00:19:50.520
a selfie Click by mistake by that particular
monkey but as for law human is the author so

00:19:50.520 --> 00:19:56.560
because of that this case this this case become
very popular but obviously that is not allowed

00:19:56.560 --> 00:20:02.720
then the next is like a gety Imes versus stability
and now this issue is little very interesting

00:20:02.720 --> 00:20:08.400
actually what happened in this particular now
gy images you can just check here Getty Images

00:20:08.400 --> 00:20:18.000
is very you can say if you visit gy images they're
very much we can say appreciate that copyright

00:20:18.000 --> 00:20:23.840
and they're very particular about the their
copyrights okay now stability they have taken

00:20:23.840 --> 00:20:31.240
a Gatey images they have fade the machine with
the Gatey images without the permiss right and

00:20:31.240 --> 00:20:38.560
obviously G mes filed case against them
and that is not acceptable and you probably have

00:20:38.560 --> 00:20:46.160
heard about the many cases that content creators
the musicians right or The Lyricist they're

00:20:46.160 --> 00:20:52.440
objecting especially in USA you can see that move
that they are filing case against the the that big

00:20:52.440 --> 00:20:59.320
giants because without permissions that songs that
particular literature is like that that machine is

00:20:59.320 --> 00:21:06.800
using for that machine training that particular
content is used without permission so you so that

00:21:06.800 --> 00:21:11.560
is a one thing that is a very important mean
another aspect with the copyright is coming

00:21:11.560 --> 00:21:18.080
this that without permission the training of that
machine is done by using the at least they have

00:21:18.080 --> 00:21:24.720
they should have taken a licenses so now you can
just see the trend that lot of licenses are like

00:21:24.720 --> 00:21:31.560
people are going for licensing instead of going
into that trouble of litigation and then the

00:21:31.560 --> 00:21:37.640
brand image damage and all that thing people that
companies are preferring to take a licenses from

00:21:37.640 --> 00:21:45.000
the data owners so that such kind of issues not
happen Okay so this is the kind of a scenario now

00:21:45.000 --> 00:21:52.760
what happens that when we are talking about this
chat GPT b or that U mid Journey right so here

00:21:52.760 --> 00:21:59.840
what is happening that obviously the the the
literary they're creating literary that that they

00:21:59.840 --> 00:22:06.000
are giving you the that inputs in the form of
that particular whatever questions you are asking

00:22:06.000 --> 00:22:12.360
you are getting answers how they are getting that
particular answer obviously data is like used for

00:22:12.360 --> 00:22:17.960
that particular so data is oil and that particular
sentences which are very common right now in the

00:22:17.960 --> 00:22:24.520
S so you can just imagine the the scenario with
this AI perspective now we will appreciate this

00:22:24.520 --> 00:22:30.880
particular thing considering now artificial
intelligence our Facebook data right our Linkin

00:22:30.880 --> 00:22:37.760
data just imagine and this artificial intelligence
how exactly it will go we feel we feel that this

00:22:37.760 --> 00:22:44.840
is a free Google so we know we don't know the the
P private privacy policies and all that thing we

00:22:44.840 --> 00:22:51.200
should not go into details of that that is another
like detail deliberations will be required

00:22:51.200 --> 00:22:56.280
considering the data privacy and all that thing we
will not go into details of that but I'm just my

00:22:56.280 --> 00:23:01.200
work here is like I'm just pushing you to think
differently that these are the issues coming if

00:23:01.200 --> 00:23:05.360
you are a research scholar in legal field you
just think about in that direction how you

00:23:05.360 --> 00:23:10.480
can solve that if you are inventor or if you are
Creator you just think if you are using artificial

00:23:10.480 --> 00:23:16.520
intelligence these are the issues coming for the
patent or a copyright like getting the that

00:23:16.520 --> 00:23:21.080
that particular patent Grant or registration
of a copyright these issues are coming I'm

00:23:21.080 --> 00:23:26.160
just sharing that particular thing okay this is
a current scenario the scenario definitely will

00:23:26.160 --> 00:23:31.000
will change but that will take a Time so we have
to appreciate this particular current scenario

00:23:31.000 --> 00:23:37.880
that is the issue actually and that is a scenario
whatever is there now if you see the EU copyright

00:23:37.880 --> 00:23:43.360
work actually what is their definition original
reflecting the author's intellectual creation and

00:23:43.360 --> 00:23:50.280
personality and the although law law does not
specify the threshold for originality but that

00:23:50.280 --> 00:23:57.600
is particular EU is like like you act is specific
now here the freedom of the author or a creative

00:23:57.600 --> 00:24:04.120
choices of the the author that is Artic into that
that is always reflected now you see the any any

00:24:04.120 --> 00:24:11.360
creative creative like expression that author's
creative expression is reflect his his freedom

00:24:11.360 --> 00:24:17.640
his creative choices are reflected there right so
we have to just appreciate in that particular here

00:24:17.640 --> 00:24:23.480
along with author if the artificial intelligence
tool is used I'm just saying in that way that you

00:24:23.480 --> 00:24:29.200
artificial intelligence is a tool it is assisted
by author's creation is assisted by artificial

00:24:29.200 --> 00:24:36.160
intelligence and then author's intervention is
there to choose among the different combinations

00:24:36.160 --> 00:24:41.480
and then the final expression comes that is a
that if that is a scenario then we have to think

00:24:41.480 --> 00:24:47.160
this particular kind of a creation in a different
way we have to examine this particular case in a

00:24:47.160 --> 00:24:51.800
different way right so this is the issue with the
copyright I guess this much information regarding

00:24:51.800 --> 00:24:58.360
the copyright is good enough for you now one
more thing only I should I should just say that

00:24:58.360 --> 00:25:03.680
generative AI when we are talking about this uses
that I have already shared with you but Tex based

00:25:03.680 --> 00:25:09.720
artificial that generative Ai and then the takes
Bas artificial intelligence the data and then the

00:25:09.720 --> 00:25:13.960
unauthorized copying whatever is happening
that cases I have already mentioned and that

00:25:13.960 --> 00:25:20.160
are creating the copyright infringement related
dispute now our our issue our dispute related if

00:25:20.160 --> 00:25:26.000
we see considering this particular course disputes
are copyright infringement disputes due to

00:25:26.000 --> 00:25:31.600
unauthorized usage of a data for a training that
that is one thing if I go back into the patent the

00:25:31.600 --> 00:25:38.360
issue is with the that particular human Creator
is mandatory as per act a machine cannot be

00:25:38.360 --> 00:25:46.240
Creator again considering the act the that machine
cannot be the author that is like a Crux of this

00:25:46.240 --> 00:25:54.200
particular discussion if I if I want to put it in
a very simple way okay so now what we will do we

00:25:54.200 --> 00:26:02.960
will just take a break here you just watch U
video here that is wo video actually which is

00:26:02.960 --> 00:26:09.520
giving you the that companies which are active
like top companies which are active giving the

00:26:09.520 --> 00:26:14.760
artificial intelligence related that activities
and after that I will just share one thing about

00:26:14.760 --> 00:26:28.240
the derivative work by Google and then we will
move to the trademark just just watch this video

00:26:28.240 --> 00:26:36.220
[Music]

00:26:36.220 --> 00:26:44.200
[Music]

00:26:44.200 --> 00:26:52.180
[Music]

00:26:52.180 --> 00:27:00.160
[Music]

00:27:00.160 --> 00:27:07.200
okay so now I just talk about a derivative
work and G that that Google case actually

00:27:07.200 --> 00:27:12.760
so Google case you probably will aware about that
particular Google case where it is happened that

00:27:12.760 --> 00:27:19.920
Google started a copying of the books and then
what happened that they they suggested that

00:27:19.920 --> 00:27:25.200
the explanation was that we are that we are they
were plan planning the data is used for creating

00:27:25.200 --> 00:27:31.360
the creating that particular technology so here
what happened again the copyright infringement

00:27:31.360 --> 00:27:36.920
is happening derivative work we talk about a
derivative work in that copyright der if you

00:27:36.920 --> 00:27:41.960
are creating a derivative just think about this
direction actually derivative work when we

00:27:41.960 --> 00:27:48.080
are talking about the it's like a different form
from the the from book is converted into movie or

00:27:48.080 --> 00:27:53.640
book is converted into drama something like that
adaptation whatever we are talking about so this

00:27:53.640 --> 00:28:00.040
is like a data is given artificial intelligence
is working on it and something different is given

00:28:00.040 --> 00:28:10.040
that is a derivative work so what is happening
this copyright which is a right of the author

00:28:10.040 --> 00:28:16.240
what derivative work is a right of the author
right and that is affected here okay so just

00:28:16.240 --> 00:28:21.600
think in that direction also so let us now move
to the next SL is a artificial intelligence and

00:28:21.600 --> 00:28:27.080
a trademark here I will just give you the example
of a lush and Amazon so that through that example

00:28:27.080 --> 00:28:32.800
you will appreciate that particular case how
exactly happens what happened in that now that

00:28:32.800 --> 00:28:39.360
Lush is a brand actually that trademark actually
and Amazon has used that bidding based on that one

00:28:39.360 --> 00:28:46.240
particular word that is a lush now what happened
because of that particular word what happened that

00:28:46.240 --> 00:28:55.960
the obviously traffic will that started going onto
the Amazon site right so somebody else right the

00:28:55.960 --> 00:29:03.720
IP is used to attract a business business huh
and here Amazon has done that thing obviously

00:29:03.720 --> 00:29:14.960
that Amazon has been like a lush Lush one that
particular case and here that the trademark

00:29:14.960 --> 00:29:22.560
usage of a somebody else trademark for attracting
the business by some other trademark owner is a

00:29:22.560 --> 00:29:28.320
classic case actually now this this particular
obviously happened because they have used the

00:29:28.320 --> 00:29:33.600
that obviously computer software we call it as
advanced technology and therefore we call it as a

00:29:33.600 --> 00:29:39.080
artificial intelligence so they have used AI for
this particular thing and this is a popular case

00:29:39.080 --> 00:29:44.800
or a landmark case in this particular area but
if you see the advantages of artificial we we

00:29:44.800 --> 00:29:49.840
will along with the dispute if you go into
the advantages of that particular artificial

00:29:49.840 --> 00:29:56.040
intelligence considering a special trademark
registration stim lining is there conflict

00:29:56.040 --> 00:30:03.120
identification is very easy when we see that
particular that Advanced Technologies if you use

00:30:03.120 --> 00:30:07.880
it is simplifying the process of trademark we know
that trademark application is the simplest one

00:30:07.880 --> 00:30:13.640
across the world if you want to do with the Madrid
protocol we are doing it very comfortably why

00:30:13.640 --> 00:30:19.680
because of this advant technology only enforcing
of trademark law is becoming easy so these are all

00:30:19.680 --> 00:30:25.160
the advantages of that but this is a disadvantages
also so here what is happening the brand

00:30:25.160 --> 00:30:30.480
manipulation L and Amazon case I just given you
one example to appreciate that that how exactly

00:30:30.480 --> 00:30:35.480
it will affect that is a brand manipulation is
happening and because of that brand manipulation

00:30:35.480 --> 00:30:42.680
this particular issue G right so this is the
effect is mainly on patent copyright trademark

00:30:42.680 --> 00:30:47.400
is effect is in this way that particular
technology is affecting in this particular Way

00:30:47.400 --> 00:30:54.760
by brand manipulations or particularly that that
the site online traffic like diverted because of

00:30:54.760 --> 00:31:01.800
that particular usage of that particular m data we
can say and this is happening in normal way also

00:31:01.800 --> 00:31:08.360
if you see the Facebook and then the Linkin that
simple we are using it here also this particular

00:31:08.360 --> 00:31:13.720
thing happens you just check that particular we
are the individuals are also doing that these are

00:31:13.720 --> 00:31:18.720
the big Brands actually big businesses so
they are using it in a different way but they

00:31:18.720 --> 00:31:24.680
are using it but it is a unethical considering
this particular IP dispute when comes into the

00:31:24.680 --> 00:31:30.560
picture because of this IP dispute is coming into
the picture right they're facing that particular

00:31:30.560 --> 00:31:36.600
legal action now a and trade secret we will just
move on to this particular thing so when we are

00:31:36.600 --> 00:31:43.040
talking about a trade secret generative AI is very
important actually because this is something which

00:31:43.040 --> 00:31:50.720
is a very effective tool for data analysis and
content creation Now what is happening that how

00:31:50.720 --> 00:31:56.600
exactly the filtering of data is a task of a
human right and then when you are filter that

00:31:56.600 --> 00:32:03.080
filtered data that required data is like given
to the machine obviously that will have the like

00:32:03.080 --> 00:32:11.240
based on the data analysis they will give them
the result right and this training and learning

00:32:11.240 --> 00:32:16.880
for that particular thing you are giving the lot
of lot of data and then the machine is getting

00:32:16.880 --> 00:32:23.880
trained to do the analysis of that particular data
and then based on that the technology is developed

00:32:23.880 --> 00:32:32.720
in short if if we see the process now here
if that privacy of data is very important along

00:32:32.720 --> 00:32:37.440
with the trade secret trade secret is a different
thing data privacy is a different thing we should

00:32:37.440 --> 00:32:45.560
not mix it together right now here the the data
privacy especially come with the sensitive data

00:32:45.560 --> 00:32:52.760
especially say for example medical data is there
right that and that and you know that in any case

00:32:52.760 --> 00:32:59.960
also as a legal student that that law student
we know that we are not disclosing any that

00:32:59.960 --> 00:33:06.640
that data which is a very like sensitive data even
the family codes the you are not allowed to attend

00:33:06.640 --> 00:33:11.840
that codes general public cannot attend that kind
of coding proceedings but in other courts you can

00:33:11.840 --> 00:33:16.960
attend that thing so we we have we are taking
that particular caution so here whether we are

00:33:16.960 --> 00:33:23.680
taking that particular that in when the artificial
intelligence related such a data is used whether

00:33:23.680 --> 00:33:29.040
that data sensitive data may be used so that
is one issue so that that privacy and all this

00:33:29.040 --> 00:33:35.160
another issue is coming I'm just putting it for
your that you can think about that another issue

00:33:35.160 --> 00:33:40.480
that is if we consider trade secret we have given
you the the three criteria of trade secret we

00:33:40.480 --> 00:33:46.520
know that thing just just visit back week two
if you are not remembering okay so that

00:33:46.520 --> 00:33:52.720
three criteria are there which are this just just
check out that particular thing huh so that that

00:33:52.720 --> 00:33:58.000
particular three criteria of a trade secret are
there so here what is happening in this artificial

00:33:58.000 --> 00:34:03.240
intelligence generative a all these are getting
affected all these are getting affected the trade

00:34:03.240 --> 00:34:10.600
secret is getting affected okay and this is
becoming a very what we can say the very major

00:34:10.600 --> 00:34:16.720
issue considering the artificial intelligence and
then the trade secret we know that for trade

00:34:16.720 --> 00:34:22.800
secret that restricting Access employee education
physical security monitoring of data all these

00:34:22.800 --> 00:34:28.520
things we are following right because that
are that are to satisfy that that criteria for

00:34:28.520 --> 00:34:34.760
trade secret right access control or Enterprise
AI application related so we are taking all that

00:34:34.760 --> 00:34:39.760
caution so here what exactly we have to when we
are talking about a trade secret and artificial

00:34:39.760 --> 00:34:44.520
intelligence important thing is like you just you
have to be very careful about that data that is

00:34:44.520 --> 00:34:51.760
one thing and how you will be careful about data
agreements Agreements are very important that

00:34:51.760 --> 00:34:56.640
license agreement when we are drafting about this
particular thing that is like you are taking care

00:34:56.640 --> 00:35:03.120
about that okay so I guess if if that caution
that is the only caution we can take as of

00:35:03.120 --> 00:35:08.640
now no other other remed is there considering
the trade secret actually but that contract

00:35:08.640 --> 00:35:16.520
drafting that is that is the only thing which can
take the action here okay so considering now

00:35:16.520 --> 00:35:22.240
all these issues like okay patent is showing this
particular we have seen what exactly patent is the

00:35:22.240 --> 00:35:28.080
issue related to patent is copyright related
issue trademark related issue trade secret

00:35:28.080 --> 00:35:33.480
issue data privacy we are not going into details
or we are I've just given you the glimpses of that

00:35:33.480 --> 00:35:37.400
even for others also I have given a thought
process for you that these are the issues

00:35:37.400 --> 00:35:43.520
considering the AR how we can solve that so just
just just just say that the way forward if you see

00:35:43.520 --> 00:35:49.720
is like a how exactly you are like a handling
this particular inventorship related issue how

00:35:49.720 --> 00:35:54.520
you will handle this authorship related issue how
you are like whether you are thinking about that

00:35:54.520 --> 00:36:00.040
open access which some people are suggesting some
research Scholars are suggesting that shared kind

00:36:00.040 --> 00:36:05.760
of inventorship whether you are thinking about
that so all this all this kind of a suggestions

00:36:05.760 --> 00:36:10.960
are there but we have to deliberate on that
particular thing that how exactly and then

00:36:10.960 --> 00:36:16.880
deliberations are going whyo is taking that active
conferences related to that to solve this issue

00:36:16.880 --> 00:36:22.680
EU is creating the guidelines court courts
are giving the guidelines and then yes these

00:36:22.680 --> 00:36:28.600
all are helping to shipping that particular law
probably we will come separately law makome or in

00:36:28.600 --> 00:36:34.720
the current patent system current copyright that
law there may be some changes we never know this

00:36:34.720 --> 00:36:40.960
is the current scenar we have to appreciate that
particular thing okay so now after knowing all

00:36:40.960 --> 00:36:48.640
this about the complete details about yes this
is the issues these are the IP dispute arising

00:36:48.640 --> 00:36:57.600
now the question is how exactly we should handle
that right so quiz time now that you just think

00:36:57.600 --> 00:37:04.400
think about that you have any suggestions for this
particular issues think about it I have just given

00:37:04.400 --> 00:37:10.160
you the the scenario you just think about if you
have any suggestions to solve solution to this

00:37:10.160 --> 00:37:15.800
particular problem if you have just share down
in the comment box so and if you want a very

00:37:15.800 --> 00:37:22.240
serious like even in the YouTube many times you
have seen that there is a good discussion happen

00:37:22.240 --> 00:37:26.920
even you can put it into the discussion forum
and there also we can discuss your colleagues

00:37:26.920 --> 00:37:32.360
your that fellow colleagues they will also and
we will also participate in that particular

00:37:32.360 --> 00:37:38.600
discussion so that we can have a fair idea about
yes how we can handle this particular challenges

00:37:38.600 --> 00:37:49.200
okay so with this we are coming to the end of this
session and see you in the next session thank you