{"id":"W2184438353","doi":"10.29173/irie14","title":"Artificial moral agents: an intercultural perspective","year":2007,"lang":"en","type":"article","venue":"The International Review of Information Ethics","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Epistemology; Limiting; Point (geometry); Subject (documents); Sociology; Social psychology; Psychology; Computer science; Philosophy; Artificial intelligence; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01074713,0.0007403557,0.0006461636,0.002703049,0.005374293,0.01088555,0.002018484,0.005855235,0.00459222],"category_scores_gemma":[0.01100851,0.0003835407,0.0005744102,0.001647663,0.03303401,0.01193305,0.006220877,0.006263114,0.0007143684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004740271,"about_ca_system_score_gemma":0.002694301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001599543,"about_ca_topic_score_gemma":0.001096004,"domain_scores_codex":[0.9830055,0.01351939,0.0004545891,0.000724273,0.001635379,0.0006609455],"domain_scores_gemma":[0.9858963,0.009414241,0.001144054,0.001192593,0.001655324,0.0006975071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002928841,0.00000799894,0.0001005351,0.00003483091,0.000004847098,0.00005396771,0.002538981,0.0001755101,0.00004510061,0.9950617,0.0003398547,0.001633777],"study_design_scores_gemma":[0.000009801158,0.00002793792,0.0003016153,0.0003151619,0.00001148435,0.0002412483,0.007005196,0.001025705,0.0002055093,0.8680676,0.1227695,0.00001932405],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03857398,0.03307048,0.0873878,0.1104655,0.001636742,0.0000903231,0.00006527885,0.00005681329,0.7286531],"genre_scores_gemma":[0.9436788,0.01464912,0.01774925,0.007862062,0.001179295,0.0002272625,0.00003140297,0.00006366885,0.01455917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01088555,"threshold_uncertainty_score":0.05683696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1562763400042645,"score_gpt":0.4859692592350882,"score_spread":0.3296929192308237,"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."}}