ReEnTrust launches a new online user study about trust and e-recruitment system

We are pleased to announce a new online study by the ReEnTrust project team, aimed to analyse how an understanding of algorithms can help people feel more confident about using them. The study should take around 60 minutes to be completed. It is aimed to collect qualitative and quantitative data to help us gain a better understanding of how explanation and transparency of online job searching would impact users’ trust. The results of the experiment are aimed to be used in…

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ReEnTrust Team Respond to ICO’s Consultation on Explaining AI

On 24 January, ReEnTrust team, led by Dr Philip Inglesant, provided our inputs to ICO and The Turing’s latest Consultation on Explaining AI. ReEnTrust has two interests in AI-enabled decisions: in our own research, to ensure that our own processes are trustworthy, as being compliant with GDPR, DPA compliant, as well as being transparent and responsible in our research involving people; and with respect to the topic of our research, to facilitate trust-building by users in algorithm-driven online systems. We…

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Landscape summary for CDEI: bias in algorithmic decision-making

  Publication of the landscape summary on “Bias in Algorithmic Decision-Making”, commissioned by the Centre for Data Ethics and Innovation (CDEI) and produced by our own Michael Rovatsos, with contributions from Ansgar Koene and Brent Mittelstadt. The landscape summary report forms part of the CDEI’s reviews into online targeting and bias in algorithmic decision-making. These landscape summaries have informed the development of CDEI interim reports and will inform their ongoing work on the two reviews. This Landscape Summary draws together…

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