Publications

In this paper I argue that the problem of algorithmic bias should not be handled as a technical issue. There’s no such thing as a bias free AI model or system. What we have are sets of desirable and undesirable biases, and populating these sets should be done through public debates, rather than “technical” indoors decision. Abstract Artificial intelligence (AI) techniques are used to model human activities andpredict behavior. Such systems have shown race, gender and other kinds of bias, whichare typically understood as technical problems....

This is my Masters dissertation about the frame problem of Artificial Intelligence. The core claim of this work is that the problem (conceived as a problem about relevance) is neither computational nor representational in nature. It plagues every contemporary explanatory framework. In particular, one does not simply get rid of the frame problem by (e.g.) adopting a 4EA perspective. Abstract Context sensitivity is one of the distinctive marks of human intelligence....