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Algorithmic Accountability: Making Software Fair and Accurate
Our world is increasingly being run by algorithms, and unfortunately many of those algorithms are flawed or be biased.
Francella Ochillo, the general counsel for the National Hispanic Media Coalition, said that “algorithms control various aspects of a digital economy. They determine which candidates will be interviewed and how much they will be paid; who will be targeted for or excluded from advertisements; and how much consumers will pay for goods and shipping online.”
Congress will be considering the Algorithmic Accountability Act proposed by Ron Wyden, Cory Booker, and Yvette Clarke. The goal of the bill is to address bias problems with AI algorithms with ramifications to tech companies that don’t follow those rules.
The bill would require companies biller than $50 million in revenues to need to conduct an algorithmic impact assessment of their software. The audit would investigate whether the AI used was accurate and fair and preserved privacy and information security.
Wyden told FastCompany magazine that “companies need to be accountable for harmful tech–after all, redlining drawn by a computer does just as much damage as redlining policies drafted by a person. It’s common sense to require companies to audit their systems to ensure that algorithms don’t do harm.”
