Commentary: Algorithms Are Only as Fair as Their Authors

Machine and human intelligences bring different strengths to the table. Researchers like me are working to understand how algorithms can complement human skills while at the same time minimizing the liabilities of relying on machine intelligence. As a machine learning expert, I predict there will soon be a new balance between human and machine intelligence, a shift that humanity hasn’t encountered before.

Such changes often elicit fear of the unknown, and in this case, one of the unknowns is how machines make decisions. This is especially so when it comes to fairness. Can machines be fair in a way that people understand?

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Commentary: Google’s Algorithms Threaten Free and Fair Elections

In the wake of the dumpster fire that was the Mueller hearings this week, Special Counsel Robert Mueller’s reputation was left in ashes, the Democrats are covered in soot, and the Russian collusion fairytale is toast. The Democrats’ impeachment hopes are also dead, whether they choose to believe it or not. But the question of election meddling remains very much a vital topic of discussion, just not in the way Democrats and the leftist corporate media would like.

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