Regulating Algorithms
Mario Martini · Cambridge University Press eBooks · 2020
Despite their profound and growing influence on our lives, algorithms remain a partial “black box.” Keeping the risks that arise from rule-based and learning systems in check is a challenging task for both: society and the legal system. This chapter examines existing and adaptable legal solutions and complements them with further proposals. It designs a regulatory model in four steps along the time axis: preventive regulation instruments; accompanying risk management; ex post facto protection; and an algorithmic responsibility code. Together, these steps form a legislative blueprint to further regulate artificial intelligence applications.