Keynote Talk #2 AI & LAW

The topic of my talk is one that has only recently started to attract the interest of scientists and regulatory and governmental authorities, namely, that of Artificial Intelligence (AI) and Law. In particular, I will focus on two sub-domains of the law, which have been/will be most impacted by the emergence of increasingly sophisticated AI technologies. The first sub-domain is that of competition law. I will describe a recent project in which we are investigating whether pricing agents, based on deep reinforcement learning can participate in tacit collusion, i.e. whether they can form cartels, just as humans would do. I will present various game-theoretic settings, which enable us to study the phenomenon of algorithmic tacit collusion. The second domain is that of anti-discrimination law. In certain states of the US, algorithms are being deployed to predict the recidivism risk of defendants. These algorithms are trained to make predictions based on past data. However, studies by human-rights groups have shown that these data are inherently biased - they contain more instances of certain race/profile. Consequently, algorithms trained on these data, also suffer from the bias effect. The question here is how to remove bias during training?