The New York Times & APRU
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1st October 2018
How ASEAN Can Feed A.I. the Right Data
Artificial intelligence (A.I.) development is on the rise, and regulators are scrambling to ensure that the algorithms are fair and responsible. Although the United States and China are two large economies that are making strides in this field, ASEAN still has some lead time to draft and implement the appropriate regulations and policies before its smartest A.I. developers begin to gain traction.
Currently, there one crucial problem with A.I.: they are only as smart as the data they feed on. The data sets that are presently used by most—if not all—A.I. developers are still biased and do not represent the population fairly. Biased data lead to biased algorithms, eventually yielding biased outputs. In order to prevent ASEAN from going down this problematic spiral, this problem needs to be addressed at its roots: the data itself. This policy brief recommends a three-prong approach for ASEAN to feed A.I. more representative data.