Is it fair to say that anything that involves any kind of compliance, you just always need to have better explainability? I 100% agree with that. We should know before something goes live whether there's been a problem or if the training data is flawed. So understanding that someone is vulnerable and marginalised compared to potentially criminal is really important.
To trust something, you need to understand it. And, to understand something, someone often has to explain it. When it comes to AI, explainability can be a real challenge (definitionally, a "black box" is unexplainable)! With AI getting new levels of press and prominence thanks to the explosion of generative AI platforms, the need for explainability continues to grow. But, it's just as important in more conventional situations. Dr. Janet Bastiman, the Chief Data Scientist at Napier, joined Moe and Tim to, well, explain the topic! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.