“Good afternoon. This is Domino’s Pizza. What can I get started for you?” “Hi. Yes. I’d like a thousand assorted large pizzas delivered tonight.” “Very well. Where would you like them delivered to? “The Pentagon. Add it to the tab.” “Will do. Thank you very much.” Click. After hanging up Read more
An AI made a decision. You want to know why it decided the way it did. Seems reasonable. Well, reasonable depending upon the AI technique being used. Some are more transparent than others. First, we need to know what we’re asking for: interpretability or explainability. Both seek to understand the Read more
Last week in the Reservoir of Ideas, I discussed bias in generative models and the impact of the data that’s fed to them. As luck would have it, a couple days later, a colleague reposted a TikTok video of a woman reading the ChatGPT analysis of HR-1, a.k.a. “The Big Beautiful Read more
One of the most significant areas of Data Ethics concern is bias in generative AI models. Concerns about algorithmic bias are not new. Associative model (i.e. neural network) bias is not new. Even the ceding of consequential decisions to these models is not new. Just a few examples: AI is Read more