recommendations nations can no longer make sustainable laws
unless data smart engineers are as prevalent as lawyers in all processes and decision making of government and its transparency
partners egeducators, professionals wherever a nation sees that a demographic of livesthat havent previously
been full valued- eg women in most nations as at 2020 -a dataset on that demographic needs its own ai platform- thats
because alumni of fei fe li know that platforms which make autonomus actions from image data can make the safest operational
decisions with their system but cant infer whether eg a demographic that looks accident prone is a) more intellectually challenged
or simply has never been included in the knowlede experiences needed- at the 75 th anniversary of the un the itu as most connected
tech association worldwide launched womens as a borderless social good- what other datsets need collecting both so that all
lives matter and so that all deepestlocal sustainabiliy goals challenges are included as priority way to humanise ai | conclustions starting
in 2008 in some places, more new data than old was unleashes as soon a place had enough satelllite comectivity for smart devices
to operate real time services- the smart phone was only one example - city streets start to be populated with smar cameras,
agriculture could be supported by smart drones or sensors implanted into animals, when someone says they
have innovated a new ai approach ask them whats the new evidence the human world has never had the capacity to analyse before
-example fei fei li changed how intel is developed by a machine- computing had become powerful enough to digest billions of
photos of human beings from which computers first became smarter in identifying people than eg a human witness, next decoding
eg dangerous types of behavior- | findings when somone says a thing is a smart
device ask them what new data makes it smart- so a smart mobile phone combined with gps offered behavioral data for the first
time tagged bu location and techinically by personal id alumni of gordon moore of silicon valley since 1972 have
committed to 100 times more analytic power in a computing chip per deade- that meant by 2020 devices have more brain power
than humans in a certain rehard- they can do real time number crunching that a human brain cant do, and tey can replicate
this at less than 5 dollatrs wherever devices are intercooected by 5g; BUT the decices and platforms dont know whether
the data they are being fed has been biassed by the programmer; nor do they have ability to integrate deeper understanding
than the application of the programer unless soceity demands borderless cooperation between datasets than ccan be more than
the sum of their parts |
