{"id":"W4399123777","doi":"10.4018/978-1-6684-8127-1.ch001","title":"A Comprehensive Review of Trustworthy, Ethical, and Explainable Computer Vision Advancements in Online Social Media","year":2024,"lang":"en","type":"review","venue":"Advances in information security, privacy, and ethics book series","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Trustworthiness; Social media; Ethical issues; Internet privacy; Engineering ethics; Psychology; Computer science; World Wide Web; Engineering","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":[0.001334457,0.0006850257,0.0009470806,0.003770361,0.00035948,0.001423375,0.0007089539,0.001193996,0.006180612],"category_scores_gemma":[0.003695594,0.0003818375,0.0005813728,0.00454864,0.0005917368,0.002091549,0.0007523721,0.001614243,0.002294377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000965656,"about_ca_system_score_gemma":0.002527234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002164922,"about_ca_topic_score_gemma":0.004968415,"domain_scores_codex":[0.9994664,0.0001410019,0.00007312013,0.00006734266,0.0002251799,0.00002702446],"domain_scores_gemma":[0.9975436,0.001739189,0.0001623524,0.00005320612,0.0004390924,0.00006260305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000252813,0.00004103974,0.0001472829,0.02973709,0.00009835501,0.00007583178,0.0001415572,0.0003420726,0.0005002645,0.01175237,0.07736463,0.8797742],"study_design_scores_gemma":[0.000005067437,0.00004459543,0.0006170534,0.01379937,0.00009475643,0.0003397893,0.00008622398,0.000102391,0.0001865832,0.003889918,0.9808167,0.00001771082],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006587091,0.9967302,0.0002917165,0.0006004969,0.0002527155,0.000006382914,0.00002523861,0.000007250711,0.002020022],"genre_scores_gemma":[0.0005980482,0.9978448,0.0003369464,0.000346651,0.0002353968,0.000008373859,0.00003665205,0.000003432681,0.0005897171],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006180612,"threshold_uncertainty_score":0.0206762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0563179339493908,"score_gpt":0.3984399402121335,"score_spread":0.3421220062627427,"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."}}