Have you ever wished ChatGPT a good morning? Asked it to “please” do something for you? Or thanked it when it did? Now ask yourself

Imagine this: You’re in a courtroom and have been convicted of a crime. Before announcing the sentence, the judge consults a risk assessment tool –

In our last blog post, we unpacked what fairness in AI means, why it matters, and why technical fixes alone can not be enough to

When people think about AI, they often imagine objectivity. They imagine algorithms that soberly follow data and numbers, unaffected by personal opinions, emotions, or prejudice.

In our last blog post, we established what explainability is and why it matters. Now comes the harder part: Figuring out how to make it

Most of the time, we don’t question the systems around us until they fail. When planes crash, treatments go wrong, or loans are denied, we

Ensuring that LLMs align with human values is not an easy task. Alignment is particularly challenging because human values are not static, universal, or easily

“As machine-learning systems grow not just increasingly pervasive but increasingly powerful, we will find ourselves more and more often in the position of the ‘sorcerer’s