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How We’ll Conduct Algorithmic Audits in the New Economy

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Today’s 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 algorithms of one sort of another. Embedded in operational applications, algorithms make decisions, take actions, and deliver results continuously, reliably, and invisibly. But on the odd occasion that an algorithm stings — encroaching on customer privacy, refusing them a home loan, or perhaps targeting them with a barrage of objectionable solicitation — stakeholders’ understandable reaction may be to swat back in anger, and possibly with legal action.

Regulatory mandates are starting to require algorithm auditing

Today’s CIOs traverse a minefield of risk, compliance, and cultural sensitivities when it comes to deploying algorithm-driven business processes, especially those powered by artificial intelligence (AI), deep learning (DL), and machine learning (ML).

Many of these concerns revolve around the possibility that algorithmic processes can unwittingly inflict racial biases, privacy encroachments, and job-killing automations on society at large, or on vulnerable segments thereof. Surprisingly, some leading tech […]

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