a lot of support for that ok sylvia how does this sound to you is this a concept that you would buy and i feel like fighting when we re out but it s fine . it s a concept that is really necessary if at all those countries own their own data and as fronts seed we have to develop our own. the a w s s of this world they are based in africa for africa and other ways our detail will never be in the continent forever so it s a good idea as long as the is based in the african continent and controlled by the africans could you potentially see africa being the one to deliver the data as opposed to receiving it if the training is focused on the african continent by having the skills the skill transfer to the africans who will be able at least
are trying to tackle the whole idea of climate change and ensuring that you transcend that by using beater to to make sure you re making better does the seans are the right thing so if on the hierarchy of needs data and the human touch which comes 1st. morra that s where you for me i think they go together because with data we can really have human centered solutions and data is not just coming from people obviously it s important but there s a potential as we heard before to harness data from things as well and if you combine things that environmentalists lifestyle data personal data we can create a data economy that benefits the people of africa and also create the environment for startups and create opportunities for young people to get into new fields alex i want to come to you now because we re talking in the context of africa these
you feel that for example sadek as a region is sitting down and collectively thinking about this issue. what was in some initial policy being drafted i mean within the the context of south africa we see the the uk which shows a lot in common within the context of g d p o and it s gradually being implemented all we moving quick enough is or is the question rights and implementation. it s like that and you know it s generally the sense that it s not. been well implement eccentric search rules in the process rather. and i think that s a general sentiment shared cross the broader region is that while we know what we need to do it s a matter of seeing it implemented so we ve been talking about the examples of how data can go right but what happens when we get it wrong when the analytics are not correct what happens for example sylvia when your big machine is lean more towards
a sense of more paranoia but then there s a specific concrete commitments on the policy side. side and nurturing the job creation piece you know we talked about the skills in asia where i spent a fair amount of time in the 1990 s. i saw a lot of parallels but all this opportunity skill but there was much more a focus on education at the state of the stem science levels and i think that needs to be picked up. that s another ingredient we didn t talk about as much you know sort of core educational skills development to be able to enable the entrepreneurship to enable the data and analytics start ups and new business is up there in some of them are great ideas i wish i could invest in some of them already but there s a lot to do and you ve got to be realistic about that in we have to pick up our game as a collection and as individual companies and into case you think africa is ready. it s getting ready i can t speak for africa i m concerned that or i would be concerned that you have such
within south africa i don t know if we can come up with a common ethics framework let along around the world an indication of machine learning and artificial intelligence the people are not writing the algorithm it s being derived from the data so to make sure that the data is not bias it s coming from trusted source is key and we have a concept and right now we cannot control the algorithms they re developed by and it s called the black box and i problem and a lot of money is being spent on transparency so we said how do we prevent that stuff from happening now and we looked around and we saw electricity if you touch electric wires you die. but what made electricity safe is the circuit breakers it was insurance companies of america that got fed up by paying for fire damages in early 20th century they said we need to enforce this protocol they created undivided laboratories and the insurers told the companies if if you don t use undivided laboratories you are certified circuit breakers