Case Study Data Discrimination Screening 
HRExecutive
MARCH 25, 2024
Throughout the chapters, practical examples and case studies from organizations across the globe provide real-world context. “We It found that more than 80% of respondents use technology for screening, and more than half use technology for interviewing and candidate evaluation. The most important, he says, is data literacy.
Precheck
APRIL 15, 2019
MyHealthEData: With patient information trapped in siloed health systems, MyHealthEData is an administration-wide initiative to unleash data to empower patients by giving them control of their healthcare information and allowing it to follow them throughout their journey. Exclusion Screening Best Practices for 2019 and Beyond.
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Visier
SEPTEMBER 26, 2017
Situational ageism — prejudice or discrimination on the basis of a person’s age — undoubtedly exists in the tech industry. Here are four common ageism myths we debunked with the data: Myth #1: Older tech workers are less valued. The post Four Common Tech Ageism Myths Debunked With Data appeared first on Visier Inc.
Visier
SEPTEMBER 26, 2017
Situational ageism — prejudice or discrimination on the basis of a person’s age — undoubtedly exists in the tech industry. Here are four common ageism myths we debunked with the data: Myth #1: Older tech workers are less valued. The post Four Common Tech Ageism Myths Debunked With Data appeared first on Visier Inc.
Visier
SEPTEMBER 26, 2017
Situational ageism — prejudice or discrimination on the basis of a person’s age — undoubtedly exists in the tech industry. Here are four common ageism myths we debunked with the data: Myth #1: Older tech workers are less valued. The post Four Common Tech Ageism Myths Debunked With Data appeared first on Visier Inc.
Cognisess
FEBRUARY 14, 2019
He uses added insight from our recent case study with hotel giant IHG who recently applied AI in HR with Cognisess. . In your opinion, what element of the IHG case study was particularly successful? “On This avoided the need for applicants to undertake the usual case study module on day 2 of the assessment centre.
Enspira
APRIL 28, 2023
Equal Employment Opportunity Commission (EEOC) recently warned , “We must work to ensure that these new technologies do not become a high-tech pathway to discrimination.” Manage data collection and data use responsibly. Or, as Charlotte Burrows, chair of the U.S. Invest in a future-ready AI workforce.
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