Today’s post isn’t about science fiction exactly, but we’ll file it under “thoughts that inspire science fiction” and vice versa.
Ask a professional scientist if observer bias exists, and they’ll say yes. Medical science alone has many examples of what happens when bias is ignored. It affects medical practice in dangerous ways. Until recently, drug testing was almost never conducted on women. The reasoning was that women have “hormone fluctuations,” and the male-dominated medical industry wanted a pure data-baseline. Society believes that male is default for human. So, the establishment assumed that whatever is safe for men is safe for women and never looked back. Of course, the failure in logic here is that if a drug’s effectiveness is adulterated enough by female hormone fluctuations that it alters the end data, how could they have missed that this also meant this interaction could change its efficacy on the patient? Or to put it another way: How could they possibly know whether or not the drugs were, in fact, safe for women if the drugs aren’t tested under conditions with shifting hormones — the very conditions under which the drug was being used? This isn’t the only example. And medicine isn’t the only science to suffer because of unexamined bias.
And here is where we begin our discussion of AI. Continue reading