WEBVTT

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Hamid, welcome.

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There's so much talk about AI,
GenAI at the moment, across

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every area of our lives.

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Just tell me, what role or what
part is it playing in the

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climate crisis?

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AI can contribute to mitigation
action, adaptation and

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resilience action, but also can
help accelerate the

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breakthrough.

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The scientific breakthrough we
are all expecting in the future

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to help manage the transition
faster and better. On adaptation

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and resilience,

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it can help decision-makers come
up with an adaptation and

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resilience plan faster.

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It can also help to identify
risks that are coming in the

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coming week, coming months,
faster.

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So those early warning systems
are critical.

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They can not only save lives,
but they can also help the

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authority to organize around
facing imminent climate risk.

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For businesses specifically
looking to hit their

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sustainability targets, what
role does AI have to play there,

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and what can businesses do?

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Is it just a question of of
throwing lots of money at it?

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No, I do think business leaders
need to think about advanced

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analytics and AI as a way to
better understand their

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baseline. For example, in terms
of emissions, to build better

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and assess and measure the
environmental impacts.

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Because there is so much
complexity around this for

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business leaders, they need to
rely on those tools to actually

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facilitate the Scope 3  emission
baseline, for example, or to

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estimate what would be along the
value chain, their impact on the

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environment.

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Leveraging those analytical
tools and the power of AI will

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help them do that faster, and
better.                         

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      Going forward, 

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how do you see AI and tech
playing out in the climate

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crisis?

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Do you see it as the great hope
that many have called it, or

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could it bring worse inequality,
for example, and other sort of

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risks?

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I do think today, the access to
AI solutions for developing

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countries, for the general
public, for me, is fundamental.

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Why?

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If a citizen better understands
what's the impact of climate

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change in his neighborhood, he
will actually get those

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information 

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to change his behavior towards
political leaders.

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If a developing country has
access to those tools and

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methodology, we believe they can
actually accelerate building

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their own action plan, and also
be able to ask for private

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sector and multilateral support
to actually activate those

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adaptation and resilience plans
and make them happen.

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How do leaders make the most of
these opportunities that AI can

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present, but also mitigate the
risks?

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So in terms of mitigating the
risk, the risk is, for me,

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transparency, and also, equal
access.

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And the transparency element is:
we need to make sure that

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whatever is reported by
corporate, by countries, in

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terms of reporting on emissions,
or reporting on climate risk, is

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actually done with the right
methodology, with the right

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data, and that everybody can
have access to challenge that.

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Why is that so important?

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It's important because if you do
that, if you have academic

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review on climate risk
assessment, that is done for a

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given city, or a given country,
then you are sure that you avoid

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any bias included in or onto the
system.

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And also, it actually increases
the level of trust that the

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stakeholders and the population
have on those assessments.

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And for a corporate, we need to
make sure also that whatever

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they report in terms of emission
is actually reflecting reality.

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So the models, the data, the
methodology that is used to

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assess those emissions, to
assess climate risk, needs to be

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sufficiently open.

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So there is a way to actually
activate this: it is by thinking

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about Global Commons for data,
foundational models, and also,

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methodology to get those
elements shared, reviewed, and

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accepted by the stakeholders.

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There are several efforts from
the United Nations toward

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building those Global Commons,
and I hope it comes fast.

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Excellent, Hamid.

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Thank you so much.