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Google's Answer to Filling Jobs Is an Algorithm
An anonymous reader tipped us to a New York Times article about Google's newest HR tool: an algorithm. Starting soon, the company (which gets roughly 100,000 applications a month) will require all interested applicants to fill out an in-depth survey. They'll be using a sophisticated algorithm to work through the submitted surveys, matching applicants with positions. The company has apparently doubled in size in each of the last three years. Even though it's already 10,000 employees strong Laszlo Bock, Google's vice president for people operations, sees no reason the company won't reach 20,000 by the end of the year. This will mean hiring something like 200 people a week, every week, all year. From the article: "Even as Google tries to hire more people faster, it wants to make sure that its employees will fit into its freewheeling culture. The company boasts that only 4 percent of its work force leaves each year, less than other Silicon Valley companies. And it works hard to retain people, with copious free food, time to work on personal projects and other goodies. Stock options and grants certainly encourage employees to stay long enough to take advantage of the company's surging share price. Google's hiring approach is backed by academic research showing that quantitative information on a person's background -- called 'biodata' among testing experts -- is indeed a valid way to look for good workers."
Your post triggered an interesting thought process.
Google knows AI and machine learning; even if they don't use it they'll have people who know about it.
Suppose by asking certain questions, and doing some initial research and calibration, I can determine your age within two years with 97% certainty. Or marital status, or race, or any of the other protected categories. Have I broken the law? What if I don't actually do the computation? What if my computers do the computation but no human ever sees it? What if I do the computation and no human ever directly sees the result but the computer has enough power to say "No" to a hire in practice, thus still incorporating this potentially "forbidden knowledge" into the hiring decision?
(After all, asking someone about their marital status may actually be less reliable in the end; I can easily imagine 1 out of 40 people lying about something like that, or their true age/race/etc. if asked.)
This is extremely likely to be possible, and probably downright easy for Google, so this isn't just a hypothetical. And the problems this raises extends beyond this exact instance into any domain where for legal reasons, we have to cultivate ignorance; exactly what constitutes "ignorance" if you get right down to it?