I followed the linked article sited in this post - "Face Off: Confronting Bias in Face Recognition AI" which states:
"Fortunately, the matter of algorithmic ethnic bias, or “the coded gaze” as Buolamwini calls it, can be corrected with a lot of cooperative effort and patience while the AI learns. If you think of machine learning in terms of teaching a child, then consider that you cannot reasonably expect a child to recognize something or someone it has never or seldom seen. Similarly, in the case of algorithmic ethnic bias, the system can only be as diverse in its recognition of ethnicities as the catalogue of photos on which it has been trained."
As this is extremely concerning. I had some questions:
Are the training sets for company's selling facial recognition technology considered proprietary and therefore not verifiable as free from bias?
Is it not possible to develop a standard or criteria that a company's training set has sufficient distribution to be free of racial bias? Is this just not possible for some technical reason?
"Fortunately, the matter of algorithmic ethnic bias, or “the coded gaze” as Buolamwini calls it, can be corrected with a lot of cooperative effort and patience while the AI learns. If you think of machine learning in terms of teaching a child, then consider that you cannot reasonably expect a child to recognize something or someone it has never or seldom seen. Similarly, in the case of algorithmic ethnic bias, the system can only be as diverse in its recognition of ethnicities as the catalogue of photos on which it has been trained."
As this is extremely concerning. I had some questions:
Are the training sets for company's selling facial recognition technology considered proprietary and therefore not verifiable as free from bias?
Is it not possible to develop a standard or criteria that a company's training set has sufficient distribution to be free of racial bias? Is this just not possible for some technical reason?