Automated Decision-Making and the Challenge of Implementing Existing Laws

Abstract

Copyright © The Author(s) 2023..Who loves the latest shiny thing? Children maybe? Depends on the kid. Cats and dogs perhaps? Again, probably depends. What about funders, publishers, and researchers? Now that is an easier question to answer. Whether in talks provided by the tax-exempt ‘cult of TED’, or in open letters calling for a moratorium, the attention digital technologies receive today is extensive, especially those that are labelled ‘artificial intelligence’. This noise comes with calls for a new ad hoc human right against being subject to automated decision-making (ADM). While there is merit in adopting new laws dedicated to so-called AI, the procedural mechanisms that can implement existing law require strengthening.

The perceived need for new substantive rules to govern new technology is questionable at best, and distracting at worst. Here we would like to emphasise the importance of implementing existing law more effectively in order to better regulate ADM. Improving procedural capacities across the legal frameworks on data protection, non-discrimination, and human rights is imperative in this regard. This includes establishing adequate oversight mechanisms, requiring robust risk and impact assessments, and ensuring a participatory approach when designing systems that incorporate ADM. It is also crucial that lopsided regulatory impacts are avoided when applying the law in a given sector.