Algorithmic transparency: Examining from within and without

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Equations

As the volume of consumer data grows, an increasing number of decisions previously made by humans are now made by algorithms. Many thought leaders have called for algorithmic transparency to ensure that these decisions aren’t leading to unfair or discriminatory outcomes, but algorithmic transparency is tricky to implement. Last December, FTC Commissioner Julie Brill acknowledged the challenge in creating public-facing algorithmic transparency, calling on companies to proactively look internally to identify unfair, unethical, or discriminatory effects of their data use. Read more in the post on IAPP.