Blog
Articles about how these systems work, how they are evaluated, what obligations they bring and where they fail. No unsourced figures and no promises nobody can check.
3 articles
A model learns the regularities in its data, including the ones you would rather it did not. The problem is not that the system \u201chas prejudices\u201d, but that it faithfully reproduces something already there.
Read on\u201cAn explainable system\u201d can mean five different things to five different people. Before asking for explainability, it is worth settling who you are explaining to, and why.
Read onHaving someone press \u201capprove\u201d is not oversight. It is a signature on a decision made by something else — responsibility transferred without the control that should come with it.
Read onEditorial note: Articles on this blog explain mechanisms and methods. They do not describe the association's projects and contain no figures or studies we cannot point to. The field moves quickly — the publication date matters.
