In
what may be the first known case of its kind, a faulty facial
recognition match led to a Michigan man’s arrest for a crime he did not
commit.
"Clare Garvie, a lawyer at Georgetown University’s Center on Privacy and Technology, has written about problems with the government’s use of facial recognition.
She argues that low-quality search images — such as a still image from a
grainy surveillance video — should be banned, and that the systems
currently in use should be tested rigorously for accuracy and bias.
“There are mediocre algorithms and there are good ones, and law enforcement should only buy the good ones,” Ms. Garvie said.
About Mr. Williams’s experience in Michigan, she added: “I strongly suspect
this is not the first case to misidentify someone to arrest them for a
crime they didn’t commit. This is just the first time we know about it.”"
