2020-01-03 HR Examiner weekly edition v1053 with Michael Kannisto PhD AI safe word for employee candidate selection hr tech photo img cc0 via unsplash by victoriano izquierdo JG35CpZLfVs full.jpg
 

 
 

Do We Have an AI Safe Word?


HRExaminer Weekly Edition v10.53 January 3, 2020

 

 
Do We Have an AI Safe Word? Michael Kannisto, Ph.D. writes, “We may find that the use of these tools is completely unfounded, and creates at best a random outcome (and at worst a tool for automating systemic discrimination).”



The job interview is supposed to predict which candidate will be most successful and encourage that ideal candidate to accept an offer. Most interviews accomplish neither goal. Bob Corlett explains how to Make Better Hires using Evidence-Based Interviewing Part I.



Bob Corlett wraps-up his two-part series on how to Make Better Hires with Evidence-Based Interviewing Part II.



Heather Bussing covers AI in HR Tech: Discrimination and Bias.



On HR Tech Weekly: Stacey and John discuss some of the most important topics of 2019. Standouts include Ethics in AI, HR Tech in Recruiting, the role of HR, the pace of change, and the importance of Workforce Planning.





This Week's Articles

 


 
Do We Have an AI Safe Word?Do We Have an AI Safe Word?
HR Examiner author Michael Kannisto, Ph.D. discusses how new academic research is calling into question the validity of using AI in employee candidate selection.
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Make Better Hires using Evidence-Based Interviewing Part IMake Better Hires using Evidence-Based Interviewing Part I
Interviews play a pivotal role in the hiring decision, yet extensive research shows that the typical job interview is a poor predictor of success. Bob Corlett reveals how to make better hires using evidence-based interviewing.
Read Now »









 
Make Better Hires with Evidence-Based Interviewing Part IIMake Better Hires with Evidence-Based Interviewing Part II
What kind of job interview consistently results in identifying and attracting top performers? Bob Corlett wraps up his two-part series on how to make better hires using evidence-based interviewing.
Read Now »









   
AI in HR Tech: Discrimination and BiasAI in HR Tech: Discrimination and Bias
“Bias is always an issue with AI because the machine learning systems only know what they are taught. And what machine learning systems ‘learn’ is sometimes surprising or just wrong.” - Heather Bussing
Read More »









HR Tech Weekly: Episode #247: Stacey Harris and John SumserHR Tech Weekly: Episode #247: Stacey Harris and John Sumser
This week, Stacey and John discuss some of the most important topics of 2019. Standouts include Ethics in AI, HR Tech in Recruiting, the role of HR, the pace of change, and the importance of Workforce Planning.
Listen Now »






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    Friday, January 10, 2020
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HR Tech Weekly: Episode #247: Stacey Harris and John Sumser

This week, Stacey and John discuss some of the most important topics of 2019. Standouts include Ethics in AI, HR...

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