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That's not even necessary. Some of those -isms creep in implicitly, because e.g. certain performance metrics assumed by the algorithm may be statistically less
by TonyTrapp 5y ago
That's not even necessary. Some of those -isms creep in implicitly, because e.g. certain performance metrics assumed by the algorithm may be statistically less likely to be fulfilled by women, or stuff like that.
- NalNezumi 5y agoDoesn't this make it an intractable problem though? Attribute X is more common in group Y first require a population based study, which can be tampered left and right and doesn't always stay the same over time. (commonality of the attribute can shift with generations) Besides if the goal is "make an algorithm that only base its judgment on population studies" all human decision making algorithms will be the same, and you can endlessly cry wolf.