Fiinovation : Explore the evolving role of Artificial Intelligence vs Human Intelligence in CSR and impact assessment with Fiinovation. This video explains how AI can support data analysis, monitoring, impact measurement, reporting, and decision-making in Corporate Social Responsibility. At the same time, human intelligence remains essential for understanding communities, social contexts, stakeholder needs, and the real-world outcomes of CSR projects. Discover how combining AI and human expertise can create more accurate, transparent, and meaningful CSR impact assessments.
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LearningTranscript
00:00and and i don't think it's an option i'm sorry but i think people have to adapt to it today
00:07tomorrow day after if you are thinking you can survive without ai you don't even realize
00:11that the world around you whatever you're doing 60 is already governed by
00:20and when it when you talk about these so one word comes to ai so how this is how it
00:28is helpful for
00:31like for the data assessment or the impact assessment and all of the factors how can it be
00:38see now guys two things generally i think you have to get out of this form of ai
00:45i feel like everyone feels like if you're not doing something in ai we're losing out
00:54so first we'll have to get out of this okay there's a lot of good work happening without ai even
01:00today
01:00okay is ai an option no no you have to so it's mandatory it is not mandatory but
01:11in our organization in our sector specifically let's see we used to gather a lot of data on
01:16the ground okay people like me and you would go on the ground and gather a lot of data we
01:21will write
01:21the questionnaires fgd kind of a thing we'll do fgds and we'll do write questionnaires we'll take
01:27thumb impression or signatures we'll go in communities figure out how did the project do
01:32what do you do did the project really help you is do you think if we do this and then
01:38we used to
01:38prepare long reports that data used to come to us we used to spend hours and days and months in
01:43order
01:43to clean the data because a lot of the data is raw so we used to clean the data transcripts
01:48on paper
01:49would be transferred to digital platforms then you clean the data then you come out so any standard
01:55exercise would take about three to four months to happen all this can happen with ai in matter of hours
02:04in matter of hours right but my question comes that as far as data assimilation cleaning and digital
02:14detoxing of data and analysis of the data is done it can be done by ai but can can artificial
02:25intelligence conduct a focus group discussion on the ground no it cannot so for example
02:34we have multiple ai platforms where if i upload a script yeah two people can do a podcast yes
02:41why is akash and zamitra sitting here why are we talking to each other why is akash asking questions
02:48about csr and i am answering you about questions about csr and this bonhomie this warmth this sense of
02:56inquiry and curiosity is what keeps humans alive yeah so artificial intelligence is a product of that
03:04curiosity you have to understand it it was built by humans so as long as we are using on the
03:12general side
03:12as long as we are using artificial intelligence as a tool to optimize human capacity i think it's a fair
03:19deal and and i don't think it's an option i'm sorry but i think people have to adapt to it
03:25today
03:26tomorrow day after if you are thinking you can survive without ai you don't even realize that the world
03:32around you whatever you're doing 60 is already governed by ai yeah is already governed by ai even if we
03:40try to keep our eyes closed and say it's night this is generally right but this is also important
03:45that i've seen a lot of organizations and especially budding entrepreneurs and i want to
03:50warn them that they're getting into this so-called lingo of fomo fear of missing out
03:56that we have to do something in ai no first figure out uh what is your core problem that you're
04:03solving
04:03yeah and in that course what ai can actually do in order to optimize your capacity so rather than
04:12trying to become a slave of ai and be completely dependent deploy ai to be a tool for optimization
04:20for yourself so generally i think people who are adapting to the ai uh today frankly speaking akash if
04:29you ask me i think 60 of india's population is using ai like talking to a friend on chat gpt
04:37and ai has gone far off yeah way off yeah right right so there are two terms art and craft
04:43yeah
04:44i keep telling to my team and they're sitting here they know what i'm talking about so art and craft
04:49are two which we have learned yeah you can actually work with ai on the craft side
04:56craft ai can help you it saves time you can do all of that what happens to the art side
05:03creativity will not come because ai is only redeploying what is already existing
05:09right so you have created ai for smarter data availability so that you as a human can take
05:17decisions if ai starts taking decisions for you then you have a problem on deck especially in our
05:22sector now let's come to social sector the social sector is so intricately attached with human
05:29intelligence and the most important word empathy that you cannot have ai with empathy you can never
05:38do that you can never do that because you cannot program empathy if i if i am sad if i
05:45am happy i don't
05:47know if ai ever is going to be able to replicate that it's very mechanical kind of a thing it's
05:51it's a
05:51completely automation based process and you have to understand that it only redevelops what has been
05:57already put in it so i i was hearing somebody the other day and he says one of the major
06:03breakthroughs
06:04that will happen is radiological medicine so you have the radiologists who look at whose experience of
06:1320 years they would have looked at 10 000 scans of a brain and they would be able to identify
06:18with
06:18their experience what is problem in this scan ai will actually do a better job than this what because
06:24ai you can input 1 million scans yeah and then it can refer and bring out a sort of a
06:32logic that this
06:33is the problem with the scan and then a doctor can review it for example in our projects we use
06:40ai for data
06:41data assessments data cleansing and understanding where the data is coming from but if i remove the
06:48human being sitting in front of the tool and using it who is going to do the analysis and then
06:53tell me
06:54let me go back to the toilet example i now know through ai that 60 of the toilets are not
07:00been used
07:02correct but how will the ai now tell me what needs to be done without discussing with the community
07:08to get a hundred percent utilization of the toilets for that you will have to have foot on the ground
07:12for that you will have to understand behavioral change you will have to go into community analytics
07:17you will have to do focus group discussion now tell me if you have a community if you have 20
07:22women
07:23in a in a sort of orthodox community will akash or somitra be allowed to carry out a focus group
07:30discussion with 50 women in one room specifically talking about menstrual hygiene
07:36i don't think so it will happen as far as my concern goes for that you will require a woman
07:41to go
07:42yeah with a sort of local influence and relate with the woman to understand what kind of menstrual
07:49hygiene problems they are having and how uh the toilets or attending the angan vadis or using sanitary
07:57pads napkins how does it resolve the issue so i think that communication has to be logic based and
08:03empathy based logic ai can take care but empathy and connectivity cannot come from ai so in our
08:11sector i'm very happy if you ask me frankly i'm very happy why because my writing time has reduced
08:19i'm just asking how ai is helping you or for this innovation it saves time okay it saves time okay
08:28if it is saving time then it brings down the cost if it brings down the cost we we transfer
08:36that cost
08:36efficiency model to our clients so they spend less on assessments and they spend more on
08:45the objectives on the ground okay so it is helping us with more effective data understanding
08:52so the positives are that now human perception cannot influence the data there is something called a
09:01real assessment and a felt assessment yeah
09:10that people are going yeah but what if the school has 5000 students and you've only seen 50 of them
09:18so the relative picture changes right i think that is something that ai is doing phenomenally well
09:25and i think we are we are at the positive receiving end of the positive ai influence in that so
09:32tech is helping us
09:34collect analyze segregate and put up the data as evidence in front of us humans are now doing
09:45uh better decisions are taking better decisions based on better data smarter data and faster data
09:54that's how it is helping us so it's an organization being a research organization
09:58i think technically we have we have been helped by ai a lot and we are helped and we are
10:04as it is
10:04growing we are also trying to adapt see we are also not like the tech scissors right so we are
10:09also adapting
10:09to it we are also learning but every day as we are learning we are also realizing that the way
10:16forward is a
10:17sort of a collaboration between human and tech right and i was reading an article somewhere where very
10:26interesting industrial metaphor came in that um so many layoffs are happening right i don't agree but
10:36the reason that is given is that ai is taking most of the jobs right so let me go with
10:41that statement
10:42i don't agree but don't ask me about the personal viewpoint that of the podcast i can discuss with
10:46you but i think if ai is taking all these jobs uh then tomorrow ai has been implemented for efficiency
10:54in production right like ai does not have hourly limitations and the labor laws don't apply to ai
11:01so let me say you could akash and somitro or rohit or anybody would have made
11:07two cars in a day a factory shop floor imagination two cars in a day
11:13i have made humanoids and robots automated and ai enabled now they are making 20 cars in a day
11:22efficiency goes up by 100x good fair enough done i'm satisfied at the same time 25 000 people
11:30have been laid off from various companies who don't have salaries now who are not skilled enough
11:36to immediately shift to a new job because the space is getting more and more tighter right
11:42so what happens now so these people who have been laid off where are your potential consumers
11:48now you have overproduction but at the same time you have lesser consumers okay so if we keep laying
11:57off people like this and keep producing more you are going to have one day very soon where you have
12:04oversupply and diminished demand right what is going to happen ultimately so you want the economy to also
12:10keep moving my my thought is that ai is not the only reason for layoffs i think there's a lot
12:20of cost
12:20cutting which has been done um to and and ai has been used as a as a sort of a
12:28benchmark for that
12:29but i think companies have to also rework the way they have been working so that their scores remain
12:35high and we have to look at companies will have to now invest in redeployment uh training their teams
12:42themselves getting trained i'm getting trained on ai i i consider myself uh to be a student of this
12:49subject and we can move ahead from that why layoff so ultimately that was just the story but in our
12:55sector
12:55i think i'm very happy with artificial intelligence and its story forward this is just one percent
13:00the other 99 is in the full podcast watch it on the channel
13:23so
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