Data Discrimination Screening Workable 
Workable
JULY 15, 2016
On June 28, at the third installment of our Workable Ideas speaker series , we learned about effective strategies for reducing bias in hiring from Diane Hessan , CEO of the Startup Institute , Carlie Smith , Senior Talent Agent at OpenView Partners , Marissa Parillo , Senior Recruiter at Datadog and Petar Vujosevic , co-founder of GapJumpers.*.
Workable
SEPTEMBER 29, 2023
You’re a mediator balancing the demands of diversity, equity, inclusion, and the ever-present risk of unintentional discrimination. without being discriminative? ” “How to communicate in a legal way ‘We want more female engineers cos we think it’s gonna be really good for the business and all.’ without being discriminative?”
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Workable
JANUARY 3, 2018
Traditional recruiting used to rely on luck and intuition more than data, which was time-consuming to amass and analyze. But now, with a wealth of software and analytics tools available on the market, anyone can create a data-driven recruiting process. What is data-driven recruiting? How to incorporate data into your hiring.
Workable
OCTOBER 15, 2018
The reason: its resume-analyzing AI discriminated against women by penalizing their resumes. But, as reported, the data the system was fed to learn how to score candidates was “successful resumes” and “unsuccessful resumes” from the past 10 years. Rather, the failure could be in how the system was trained. You are what you eat.
Workable
APRIL 9, 2024
Equal employment opportunity policy The Equal Opportunity Policy emphasizes the importance of fairness and diversity within the workplace, ensuring that all aspects of employment remain free from discrimination based on protected characteristics.
Workable
MAY 30, 2023
The latest developments in recruitment, along with the increasing use of AI tools, can provide a helping hand in eliminating biases from the screening process. AI promises efficiency, scalability, and the ability to sift through mountains of data in seconds. It’s not hard to see why.
Workable
OCTOBER 15, 2018
The reason: its resume-analyzing AI discriminated against women by penalizing their resumes. But, as reported, the data the system was fed to learn how to score candidates was “successful resumes” and “unsuccessful resumes” from the past 10 years. Rather, the failure could be in how the system was trained. You are what you eat.
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