proprietary algorithm, they don t seem to think they have to share that. how do you make them share that? there s a number of ways. you can require algorithmic audits to do what they claim they do, interest greater transparency for algorithms, an agency responsible for looking at their practices, either its impact on competition or on fairness to the consumers are two obvious places. that s only part of the solution. the problem is, because their business model allows them to collect data and then use that data to construct advertising and take the same information and use it as a basis to connect people whatever the content, toxic or dangerous or untrue, and so part of this is, again, gets back to the fact they re too big. they re too big to care, they have no competition, they have no rules, and congress has a role to play, so do our agencies and the ftc and the department of justice.
Informationweek
How Well Conduct Algorithmic Audits in the New Economy
Today s CIOs traverse a minefield of risk, compliance, and cultural sensitivities when it comes to deploying algorithm-driven business processes.
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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.