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Daily Dashboard | Why anti-discriminatory algorithmic accountability is needed Related reading: MedData data breach lawsuit settled for $7M

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Introduction of the algorithmic accountability into the U.S. data protection landscape is a timely and farsighted development, writes Boodell & Domanskis Chief Information Officer Adomas Siudika, CIPP/US, who looks at how the Data Accountability and Transparency Act factors into the discussion, as well as the importance of algorithmic accountability. "The main objectives of algorithmic accountability are to bring more transparency in automated decision making, promote anti-bias awareness, and introduce reasonable controls to the (automated decision systems) data-processing practices," Siudika writes.
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