Sentences with phrase «algorithmic biases»

However, as SEOMoz concedes, this is easier said than done due to certain algorithmic biases in Google's search engine tending to show a variety of different search results in response to a query.

In these pages, we have dissected many of the factors that contributed to the rise and fall of VIX betting: how digital platforms have enabled retail access to inadequately understood strategies; how «the crowd - fueled authority of the internet» drove VIX betting to euphoria; how an algorithmic bias to buy can quickly turn to a bias to sell (see WILTW December 21, 2017).

Likewise, UK and EU researchers are working to advance regtech approaches to manage the risks of potential algorithmic bias.

Kusner and Russell are part of a team that has developed a framework to identify and eliminate algorithmic bias.

Still, those who don't want to commit to one standard of fairness can perform de-biasing procedures after the fact to see whether outputs change, Hardt says, which could be a warning sign of algorithmic bias.

I had just picked up Cathy O'Neil's Weapons of Math Destruction, which devoted much of a chapter to the dangers of predictive policing, and though I really wanted to write something explaining all of the dangers such a well - intentioned competition was likely to face, I wasn't sure what more I could add to the growing chorus of concern surrounding algorithmic bias.2 Then I hit on the canary idea.

Some experts are warning that algorithmic bias is already pervasive in many industries, and that almost no one is making an effort to identify or correct it.

Not exact matches

As we wrote back in June about the systemic threat created by passive strategies: «If a key sector failure, a geopolitical crisis, or even an unknown, black box bias pulls an algorithmic risk trigger, will the herd run all at once?»

But humans are still no better than machines at eliminating bias, notes mathematician Cathy O'Neil, founder of the risk consulting and auditing firm O'Neil Risk Consulting & Algorithmic Auditing in New York City.

Previously, he was a contributing researcher at ProPublica, where he worked on Machine Bias, a series that aims to highlight how algorithmic systems can be biased and discriminatory.

A «3 Geeks and a Law Blog» post earlier this week discussed the matter of algorithmic accountability in legal research tools and how human biases skew the machines.

When using its algorithmic wizardry to deeply integrate social information into its search experience, it behooves Google to avoid even a whiff of bias.