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</html><thumbnail_url>https://policyoptions.irpp.org/wp-content/uploads/2025/08/Wp-kai.jpg</thumbnail_url><thumbnail_width>2000</thumbnail_width><thumbnail_height>700</thumbnail_height><description>Between 2011 and 2015, teachers in Houston had their job performance evaluated by a &#x201C;data-driven&#x201D; appraisal algorithm called the Educational Value-Added Assessment System (EVAAS). The algorithm allowed the board of education to automate decisions that translated concretely into which teachers were awarded bonuses, given sanctions for poor scores or even fired. These automated decisions tightly [&hellip;]</description></oembed>
