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Daily Dashboard | ACM US Public Policy Council releases seven principles to handle algorithm biases Related reading: Breton: Europe seeks to be 'most data-empowered continent in the world'

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The ACM US Public Policy Council released their “Statement on Algorithmic Transparency and Accountability,” including seven principles organizations should follow to address potentially harmful biases stemming from using algorithms. The seven principles include users of analytic systems maintaining awareness of biases arising within their design, institutions maintaining accountability for the decisions they make based on their algorithms, and ensuring all decisions are recorded in case an audit is conducted in the event harm is suspected. "Following these principles cannot guarantee that there will be no biased algorithms or biased outputs," ACM US Public Policy Council Chair Stuart Shapiro said in a press release. "But they will serve to keep computing professionals on the lookout for ways biases could creep into systems and provide guidelines on how to minimize the potential for harm.” Editor's note: Lauren Smith wrote about algorithmic transparency in a post for Privacy Perspectives.
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