“Authentic Frontier Gibberish” Ethics

On Ethics Alarms, the term “Authentic Frontier Gibberish” is used to describe “intentionally (or sometimes just incompetently) incoherent double-talk used by politicians, advocates, lawyers, doctors, celebrities, scientists, academics ,con artists and wrong-doers to deceive, obfuscate, confuse, bore, or otherwise avoid transparency, admitting fault, accepting accountability or admitting uncomfortable truths. The term comes from “Blazing Saddles,” in this memorable scene.

It sometimes arises from incompetent communication skills, which are unethical for anyone in the public eye to employ. Sometimes it is more sinister than that, and occurs when someone chooses to create a vague word cloud that obscures the speaker’s or writer’s real purpose…and sometimes the fact that they are frauds. Sometimes AFG is designed to convey a feeling while avoiding sufficient substance to really explain what he or she means.

Sometimes, it feels like gaslighting.

A New York Times article was ostensibly about “Dealing with Bias in Artificial Intelligence.” This was, obviously, click-bait for me, as the topic is a developing field of ethics. The introduction stated in part, “[S]ocial bias can be reflected and amplified by artificial intelligence in dangerous ways, whether it be in deciding who gets a bank loan or who gets surveilled. The New York Times spoke with three prominent women in A.I. to hear how they approach bias in this powerful technology.” The statements of the first two women—I see no reason why only female experts on the topic were deemed qualified to comment—were useful and provocative.

Last, however, was Timnit Gebru “a research scientist at Google on the ethical A.I. team and a co-founder of Black in AI, which promotes people of color in the field, [who] talked about the foundational origins of bias and the larger challenge of changing the scientific culture.”

Here’s what she said (Imagine, the Times said this was “edited and condensed”! ). The bolding is mine.. Continue reading