This guest post was contributed by Merve Hickok (SHRM-SCP), founder of AIethicist.org. It is part 1 of a 2-part series on bias in recruitment algorithms. Humans are biased. The algorithms they develop…
This guest post was contributed by Merve Hickok (SHRM-SCP), founder of AIethicist.org. It is part 1 of a 2-part series on bias in recruitment algorithms. Humans are biased. The algorithms ...
Can we keep our flaws out of artificial intelligence and its decision-making?
In order to avoid bias in artificial intelligence, fair and transparent decisions will be needed to build confidence in AI systems.
With AI becoming all-pervasive in the field of HR, particularly recruiting, it is time to move beyond a list of principles and eliminate inherent biases.
The use of algorithms in “life-changing” decisions, such as recruitment, should be stopped immediately.
AI reformers are divided: Some want to fix the algorithms, others aim to keep humans making decisions.
If you have recently applied for a job and got an automated rejection email at any point in the recruitment process, you might wonder if…
Tech companies that have implemented algorithms meant to be an objective, bias-free solution to recruiting more female talent have learned this the hard way.
AI recruiting isn’t just a trend anymore. It’s the future of HR. Learn how you can recruit the best candidates using the best hiring practices.
[FORTHCOMING] "The Illusion of Algorithmic Fairness" by Rodrigo Ochigame (2019) The main argument in "Discrimination in the Age of Algorithms" is that algorithms make it easier to identify ...