Observation of Bias

The high-tech business frets about how to encourage trust in artificial intelligence [Rossi2019, RAND2021]. This campaign worries me [Hill2019, Hill2021], due to the prevalence of AI-enhanced algorithmic decision systems in employment, financial, and criminal-justice decisions, systems that sometimes deliver palpably faulty results. Those are instances of too much trust, along with "self-driving" cars, where, yes, I know they're not self-driving; the clumsy irony emphasizes the lending of too much trust to the vehicle. A reader in computer science hardly needs to be told that the conclusion doesn't follow. Certainly we grant both statements shown as premises, but that is not enough.