AI Algorithm Bias

Proactively identifying edge cases and constantly checking your model help remove unwanted bias. We tend to think that algorithms are better at making decisions than we are – they're machines unaffected by human emotion. But just like us, algorithms can have biases. Read more...

Bias in artificial intelligence can take many forms—from racial bias and gender prejudice to recruiting inequity and age discrimination. The underlying reason for AI bias lies in human prejudice–conscious or unconscious–lurking in AI algorithms throughout their development. AI solutions adopt and scale human biases. Read more...

Reducing algorithmic biases and lessening the impact of automation are necessary but insufficient Read more...

quickly and simply check the progress of their applications with the hiring chatbot Read more...

It is feasible to allow someone access more than what screen-pinning enables Read more...

This prejudice stems from biased or sparse input data Read more...