{"id":"W4312511752","doi":"10.1177/1071181322661387","title":"Landscape of User-Centered Design Practices for Fostering Trustworthy Human-AI Interactions","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Redress; Trustworthiness; Computer science; Perspective (graphical); Best practice; Knowledge management; Data science; Engineering ethics; Human–computer interaction; Engineering; Artificial intelligence; Computer security; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1750065,0.001552177,0.001697029,0.01179057,0.003676121,0.01843191,0.006200928,0.004189616,0.003487742],"category_scores_gemma":[0.1938615,0.001879036,0.00177058,0.007746907,0.01128409,0.01677727,0.008082942,0.005185918,0.001708945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008102566,"about_ca_system_score_gemma":0.01818838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002557439,"about_ca_topic_score_gemma":0.00319439,"domain_scores_codex":[0.7911433,0.1534588,0.02028525,0.008418207,0.02513004,0.001564464],"domain_scores_gemma":[0.6575313,0.2510231,0.01425961,0.03435034,0.04071007,0.00212565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.000165944,0.0003133058,0.004118118,0.03095148,0.0004014664,0.0003374456,0.05495822,0.003605465,0.003582588,0.3897587,0.00848581,0.5033215],"study_design_scores_gemma":[0.0002081984,0.00102893,0.00412963,0.0721558,0.0008682051,0.0012338,0.03504288,0.005616832,0.01072829,0.3039797,0.5646673,0.0003403901],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.02673127,0.1316907,0.7067302,0.04667407,0.0005747564,0.003189763,0.0004697045,0.001414495,0.08252498],"genre_scores_gemma":[0.2378988,0.0805134,0.6636124,0.005540475,0.0002205618,0.007218221,0.0005880507,0.0005501888,0.003857976],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1750065,"threshold_uncertainty_score":0.925534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.105555631912169,"score_gpt":0.3652149843367816,"score_spread":0.2596593524246126,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}