A few weeks ago, I said that we will be increasingly faced with AI audits and that I hoped such regulation would be pragmatic. \u00a0(Could AI audits end up like GDPR<\/a>).<\/p>\n That post proved prophetic<\/p>\n The New York city council has passed a new bill which requires mandatory yearly audits against bias on race or gender for users of automated AI based hiring tools<\/a><\/p>\n Candidates can ask for an explanation or a human review<\/p>\n \u2018AI\u2019 includes all technologies \u2013 from decision trees to neural networks<\/p>\n The regulation is needed and already, there is discussion about adding ageism and disabilities to this audit<\/p>\n I am almost sure that the EU will follow in this direction also<\/p>\n Here are my takes on this for data scientists:<\/p>\n On a personal note, being on the autism spectrum, the legislation is well meaning and helpful towards people with limitations and disabilities \u2013 but I still believe that data driven algorithms reflect biases in society \u2013 and its easier to regulate AI than to look at our own biases<\/p>\n That\u2019s one of the reasons I think the current data-driven strategy is not the future.<\/p>\n In my research and teaching, I have moved a lot towards Bayesian strategies and techniques t<\/strong>o complement deep learning (because they are more explainable)<\/p>\n The full legislation is HERE<\/a><\/p>\n Image source pixabay<\/a><\/p>\n<\/div>\n Go to Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<\/a><\/p>\n
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