00:00We're bringing a message of the importance of scaling innovations for those who need
00:05it the most.
00:06It's really about health equity, promoting impact in public health outcomes.
00:13And right now we're in a situation where there's actually a big paradox.
00:18We have so much innovation, there's really an abundance of innovation, new technologies,
00:23not least AI, and yet we have still over five billion people worldwide without access to
00:30health care.
00:31So you think the biggest challenge is not a shortage of innovation, it's all about implementation?
00:37Absolutely.
00:38Absolutely.
00:39And it's also about prioritization, right?
00:42So we want to move from what we've seen as a very supply driven innovation ecosystem
00:48to one that's more public sector demand driven.
00:52So really putting governments in the driver's seat in setting their national health missions
00:59and then rallying, convening, aligning their innovation ecosystems around that mission and
01:07having everyone play their part.
01:09And you think government should take the lead and it shouldn't be really dictated only by
01:15the tech companies?
01:16And how do you strike a balance between public leadership and tech innovation in the private
01:21sector?
01:22So we believe both are important and one of the things we did was to create a systems
01:29innovation led by WHO and it's called the WHO Digital Innovation Investment Platform.
01:35And that platform is really a mechanism for bridging the divide that we see between the public sector
01:41demand and the private sector supply of innovation and technologies as well as the investor community.
01:49That's also an important enabler of innovation scaling.
01:53So that platform will enable the meeting of the two and the engagement and the building of knowledge
02:00and evidence in the space and eventually co-creating pathways for scaling innovations in countries.
02:06It's not something that anyone can do and governments are, have the mandate to serve their population health
02:13needs and that's where, that's why we have developed recently this WHO scaling innovations in public
02:20health systems guidance and toolkit which really helps our close to 200 member states in having the right guidance, evidence
02:28-based,
02:29science-based guidance and tools to know how to do that.
02:33Mm-hmm.
02:34And also here at VivaTech everyone's talking about artificial intelligence.
02:39So how does the WHO advise on the adoption of the new technology?
02:45So WHO's core role is to deliver norms and standards to help member states implement health in the most efficient
02:56and effective way.
02:57So that mandate to develop norms and standards is also something we apply obviously to the area of AI.
03:04I think AI is, we can see it's happening.
03:08Right now I think the, it's not really a matter of whether people have access to AI.
03:14It's more a matter of whether governments have the capability to govern and assess AI.
03:21Because what happens if you don't have that capacity, you become someone who inherits models developed elsewhere
03:29and those models will be trained on data that may not be representative in your context.
03:34It will have hidden assumptions that may not be suitable and will not lead to the best health outcomes in
03:41your country.
03:42There can be hidden bias if the data is trained on a completely different type of population profile, etc.
03:50So there are examples of that and that's obviously a reason for concern of this inheritance problem.
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