2023_aisb_ethics

There are 6 entries in this file. Use ‘View Page Source’ in the top right hand corner of the page for the raw bibtex. Entries are coloured according to their type:

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A position on establishing effective explanations from human-centred counterfactuals for automated financial decisions
(blandin23_)
Blandin, Alex and Roach, Matt and Doneddu, Daniele and Pearson, Jen and Jones, Matt and Sullivan, David
Raising User Awareness of Bias-Leakage via Proxies in AI Models to Improve Fairness in Decision-making
(daish23__raisin_user_awaren_bias_leakag_)
Daish, Peter and Roach, Matt and Dix, Alan
Neighbor Migrating Generator: Finding the closest possible neighbor with different classes
(eshkiki23__neigh_migrat_gener_)
Eshkiki, Hassan and Mora, Benjamin
Proceedings of the 2023 AISB Symposium on AI Ethics
(mueller23:_proceed_aisb_conven_)
Müller, Berndt (eds).
ISBN: 978-1-908187-85-7
URL: Link
Artefactual ethics as opportunity to rethink "natural" ethics
(parthemore23__artef_)
Parthemore, Joel and Whitby, Blay
Towards European Standards supporting the AI Act: alignment challenges on the path to Trustworthy AI
(tartaro23__towar_europ_stand_ai_act_)
Tartaro, Alessio