@inproceedings{21__deep_opacit_under_data_protec_,
 title        = {Deep Opacity Undermines Data Protection and Explainable Artificial Intelligence},
 year         = {2021},
 tags         = {},
 pages        = {18-23},
 crossref     = {zednik21:_proceed_of_aisb_conven_sympos_},
}

@inproceedings{chan21__explain_ai_as_epist_repres_,
 title        = {Explainable AI As Epistemic Representation},
 author       = {Chan, Lok},
 year         = {2021},
 tags         = {},
 pages        = {7-9},
 crossref     = {zednik21:_proceed_of_aisb_conven_sympos_},
}

@inproceedings{creel21__funct_user_satis_in_explain_ai_,
 title        = {Function and User-Satisfaction In Explainable AI},
 author       = {Creel, Kathleen},
 year         = {2021},
 tags         = {},
 pages        = {3-5},
 crossref     = {zednik21:_proceed_of_aisb_conven_sympos_},
}

@inproceedings{lee21__techn_barrier_to_adopt_of_,
 title        = {Technical Barriers To The Adoption Of Post-Hoc Explanation Methods For Black Box AI Models},
 author       = {Lee, Eunjin and Taylor, Harrison and Hiley, Liam and Tomsett, Richard},
 year         = {2021},
 tags         = {},
 pages        = {12-14},
 crossref     = {zednik21:_proceed_of_aisb_conven_sympos_},
}

@inproceedings{páez21__robot_mindr_probl_of_trust_,
 title        = {Robot Mindreading and The Problem Of Trust},
 author       = {Páez, Andrés},
 year         = {2021},
 tags         = {},
 pages        = {14-18},
 crossref     = {zednik21:_proceed_of_aisb_conven_sympos_},
}

@inproceedings{schweer21__beyon_opacit_epist_risks_in_machin_learn_,
 title        = {Beyond Opacity - Epistemic Risks In Machine Learning},
 author       = {Schweer, Julie and Grüne, Paul and Hillerbrand, Rafaela},
 year         = {2021},
 tags         = {},
 pages        = {5-7},
 crossref     = {zednik21:_proceed_of_aisb_conven_sympos_},
}

@inproceedings{watson21__no_explain_without_infer_,
 title        = {No Explaination Without Inference},
 author       = {Watson, David},
 year         = {2021},
 tags         = {},
 pages        = {9-12},
 crossref     = {zednik21:_proceed_of_aisb_conven_sympos_},
}

@proceedings{zednik21:_proceed_of_aisb_conven_sympos_,
 title        = {Proceedings Of The 2021 AISB Convention Symposium On Overcoming Opacity In Machine Learning},
 author       = {Zednik, Carlos and Boelsen, Hannes},
 year         = {2021},
 tags         = {},
 pdf_locked   = {False},
 url          = {https://aisb.org.uk/wp-content/uploads/2021/04/AISB21_Opacity_Proceedings.pdf},
 file         = {/media/john/data/todo/pdfs/proceedings/aisb/aisb_21/AISB21_Opacity_Proceedings.pdf},
}