Activity: Talk or presentation types › Invited talk › Scientific
In a society that is increasingly mediated by data-driven technologies, it is important that people can trust these technologies. However, almost on a daily basis we learn about new incidents (e.g. Cambridge Analytica, voice assistants eavesdropping on users, data breaches) which put this trust under pressure. Recently, the idea caught fire that, to counter these incidents –and a decline in trust–we should invest in approaches that make technology more trustworthy. Both public and private actors launched different policy initiatives to make this happen. For instance, the European Commission’s High-Level Expert Group on Artificial Intelligence (AI HLEG) published their Ethics Guidelines for Trustworthy AI and several tech companies made trustworthiness one of their key corporate values. Notwithstanding this attention, what trustworthiness boils down to in the context of data-driven technologies and tech companies, remains rather vague. This makes it difficult to explicate what morally to expect from tech companies and practically, how policies should be developed to foster trustworthiness. This talk will explore the notions of trust and trustworthiness and reflect on the question what is needed to ensure that the current focus on trustworthiness can be more than just lip service.