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 audit and explanation


Enhancing trust in artificial intelligence: Audits and explanations can help 7wData

#artificialintelligence

There is a lively debate all over the world regarding AI's perceived "black box" problem. Most profoundly, if a machine can be taught to learn itself, how does it explain its conclusions? This issue comes up most frequently in the context of how to address possible algorithmic bias. One way to address this issue is to mandate a right to a human decision per the General Data Protection Regulation's (GDPR) Article 22. Here in the United States, Senators Wyden and Booker propose in the Algorithmic Accountability Act that companies be compelled to conduct impact assessments.


Enhancing trust in artificial intelligence: Audits and explanations can help

#artificialintelligence

There is a lively debate all over the world regarding AI's perceived "black box" problem. Most profoundly, if a machine can be taught to learn itself, how does it explain its conclusions? This issue comes up most frequently in the context of how to address possible algorithmic bias. One way to address this issue is to mandate a right to a human decision per the General Data Protection Regulation's (GDPR) Article 22. Here in the United States, Senators Wyden and Booker propose in the Algorithmic Accountability Act that companies be compelled to conduct impact assessments. Auditability, explainability, transparency and replicability (reproducibility) are often suggested as means of avoiding bias.


AI Must Be Self Governed

#artificialintelligence

According to Grant Gross, independent contributing writer, addressing the affect of Artificial Intelligence and personal data, "AI analytics will be under increasing scrutiny. Experts say companies using AI with personal data must focus on GDPR and HIPAA, but long term, companies can expect governments and people affected to increasingly push for audits and explanations of AI decisions. Business use of cognitive and artificial intelligence is expected to skyrocket in the coming years, with global spending on the technology reaching $19.1 billion in 2018, a 54.2 percent increase over last year, according to IDC, says the report. "But as businesses embrace AI to help with all kinds of tasks, they face a complex set of regulations that limit what personal data they can collect and use. A business using AI to predict when its own factory machinery needs maintenance has little to fear from regulations.