Print Email Facebook Twitter Responsible innovation, anticipation and responsiveness Title Responsible innovation, anticipation and responsiveness: case studies of algorithms in decision support in justice and security, and an exploration of potential, unintended, undesirable, higher-order effects Author Steen, Marc (TNO) Timan, Tjerk (TNO) van de Poel, I.R. (TU Delft Ethics & Philosophy of Technology) Date 2021 Abstract The collection and use of personal data on citizens in the design and deployment of algorithms in the domain of justice and security is a sensitive topic. Values like fairness, autonomy, privacy, accuracy, transparency and property are at stake. Negative examples of algorithms that propagate or exacerbate biases, inequalities or injustices have received ample attention, both in academia and in popular media. To supplement this view, we will discuss two positive examples of Responsible Innovation (RI): the design and deployment of algorithms in decision support, with good intentions and careful approaches. We then explore potential, unintended, undesirable, higher-order effects of algorithms—effects that may occur despite good intentions and careful approaches. We do that by engaging with anticipation and responsiveness, two key dimensions of Responsible Innovation. We close the paper with proposing a framework and a series of tentative recommendations to promote anticipation and responsiveness in the design and deployment of algorithms in decision support in the domain of justice and security. To reference this document use: http://resolver.tudelft.nl/uuid:8575aa23-f486-475d-9435-81cd8afa698b DOI https://doi.org/10.1007/s43681-021-00063-2 ISSN 2730-5961 Source AI and Ethics Part of collection Institutional Repository Document type journal article Rights © 2021 Marc Steen, Tjerk Timan, I.R. van de Poel Files PDF Steen2021_Article_Respons ... icipat.pdf 861.86 KB Close viewer /islandora/object/uuid:8575aa23-f486-475d-9435-81cd8afa698b/datastream/OBJ/view