Algorithmic Auditing News Today

A privacy-professionals gathering yielded we’ve-got-this assurances but left room for doubt.

Healthcare is rapidly changing, with artificial intelligence (AI) and algorithmic models leading the transformation. In recent years, big data and machine learning algorithms have...

AI audits may overlook certain types of bias, and they don’t necessarily verify that a hiring tool picks the best candidates for a job.

The federal government continues to take significant interest in organizations using artificial intelligence and algorithmic decision-making systems, as evidenced by three recent...

The National Association of Insurance Commissioners (NAIC) held its 2022 Spring National Meeting from March 4 to 8 in Kansas City, Missouri. Although the meeting was held in a hybrid...

The Division of Insurance (DOI), part of the Department of Regulatory Agencies (DORA), is excited to contract with Cathy O’Neill and O’Neil Risk Consulting & Algorithmic Auditing (ORCAA), a consulting firm that helps companies and organizations identify and manage algorithmic risks, to assist us with the implementation of the law.

A New York City law requires algorithms used in hiring to be “audited” for bias. It’s the first in the US—and part of a larger push toward regulation.

Informationweek How We’ll Conduct Algorithmic Audits in the New Economy Todays CIOs traverse a minefield of risk, compliance, and cultural sensitivities when it comes to deploying algorithm-driven business processes. Image: Montri - stock.adobe.com Algorithms are the heartbeat of applications, but they may not be perceived as entirely benign by their intended beneficiaries. Most educated people know that an algorithm is simply any stepwise computational procedure. Most computer programs are a...

Can auditing eliminate bias from algorithms? Shares For more than a decade, journalists and researchers have been writing about the dangers of relying on algorithms to make weighty decisions: who gets locked up, who gets a job, who gets a loan — even who has priority for COVID-19 vaccines. Rather than remove bias, one algorithm after another has codified and perpetuated it, as companies have simultaneously continued to more or less shield their algorithms from public scrutiny. The big ques...

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