Fiddler Labs BlogHow to Detect Model Drift in ML MonitoringAI adoption is rapidly rising across industries. With the advent of Covid-19, digital adoption by consumers and businesses has vaulted…Sep 17, 2020Sep 17, 2020
Fiddler Labs BloginfiddlerlabsEnterprise Monitoring Landscape — Overview and New EntrantsThis post covers the complete Enterprise Monitoring landscape including the newest category of artificial intelligence and machine…Jun 1, 20201Jun 1, 20201
Fiddler Labs BlogIdentifying bias when sensitive attribute data is unavailable: Geolocation in Mortgage DataIn our last post, we explored data on mortgage applicants from 2017 released in accordance with the Home Mortgage Disclosure Act (HMDA)…May 14, 2020May 14, 2020
Fiddler Labs BlogIdentifying bias when sensitive attribute data is unavailable: Exploring Data from the HMDATo test their automated systems for possible bias across racial or gender lines, organizations may seek to know which individuals belong…May 1, 2020May 1, 2020
Fiddler Labs BlogExplainable Monitoring: Stop flying blind and monitor your AIThe Need for AI/ML MonitoringApr 13, 2020Apr 13, 2020
Fiddler Labs BlogIdentifying bias when sensitive attribute data is unavailableThe perils of automated decision-making systems are becoming increasingly apparent, with racial and gender bias documented in algorithmic…Mar 31, 2020Mar 31, 2020
Fiddler Labs BlogIdentifying bias when sensitive attribute data is unavailable: Techniques for inferring protected…To evaluate whether decisions in lending, health care, hiring and beyond are made equitably across race or gender groups, organizations…Mar 4, 2020Mar 4, 2020
