Much of pro-abortion advocacy is science denial—the deliberate misrepresentation of science to advance an ideological agenda. Mary Ziegler, a law professor at Florida State University, wrote a misleading essay on that theme in the New York Times, “Science won’t end this debate” (January 22, 2019). Read More ›
To love mercy sometimes means to give up efficiency. It could mean losing a few points of model accuracy by refusing to take into account features that invade privacy or are proxies for race, leading to discriminatory model behavior. But that’s OK. The merciful are willing to give up some of their rights and advantages so they can help others.
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The fact that you may start to get better if you believe you are receiving treatment is one of the best-attested facts in medicine. Despite that, far from being accepted, this "placebo effect" is seen in many quarters as, at best, a “pesky thing” and at worst, a “trick,” if not a “fraud.” Perhaps that is due to a drive to reduce medical science to the purely physical. Read More ›
Data management companies can come to know a great deal about you; they just don’t know your name—unless, of course, there is a breach of some kind. Time Magazine reported in 2017 that “Researchers have already re-identified people from anonymized profiles from hospital exit records, lists of Netflix customers, AOL online searchers, even GPS data of New York City taxi rides.” One would expect detailed medical data to be even more revelatory. Read More ›
When pundits talk glibly of creating artificial minds or claim that consciousness is an illusion, it might help to remember that few predicted cases like this could exist and few thought that high tech diagnostics would lead to their discovery. Read More ›
The biggest problem today isn’t the sheer mass of data so much as the difficulty of determining what it is worth. The answer lies, unfortunately, in the undone studies and the unreported events. Machine learning will be a much greater help when those problems are addressed. Read More ›