{"id":440,"date":"2026-07-04T18:18:44","date_gmt":"2026-07-04T18:18:44","guid":{"rendered":"https:\/\/chill-lab.eu\/?p=440"},"modified":"2026-07-04T18:18:45","modified_gmt":"2026-07-04T18:18:45","slug":"austria-opaque-automated-creditworthiness-assessment-by-dun-bradstree","status":"publish","type":"post","link":"https:\/\/chill-lab.eu\/it\/austria-opaque-automated-creditworthiness-assessment-by-dun-bradstree\/","title":{"rendered":"Austria \u2014 Opaque automated creditworthiness assessment by Dun & Bradstree"},"content":{"rendered":"","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"ai_generated_summary":"","wpai_meta_description":"","footnotes":""},"categories":[1],"tags":[],"affected_subject":[74,76],"country":[86],"judicial_forum":[98],"relevant_legal_instruments_artic":[94,92,93,97,96],"rights_involved":[],"thematica_area":[42,52],"class_list":["post-440","post","type-post","status-publish","format-standard","hentry","category-uncategorized","affected_subject-digital-users-online-communities","affected_subject-general-public","country-austria","judicial_forum-court-of-justice-of-the-european-union","relevant_legal_instruments_artic-article-121-transparent-and-intelligible-information-secondary","relevant_legal_instruments_artic-article-151h-meaningful-information-about-automated-decision-making-central","relevant_legal_instruments_artic-article-22-automated-individual-decision-making-including-profiling-central","relevant_legal_instruments_artic-article-47-effective-remedy-secondary","relevant_legal_instruments_artic-article-8-protection-of-personal-data-central","thematica_area-ai_surveillance_digital_rights","thematica_area-corporate_accountability_business"],"acf":{"observation_unit":["Digital or Algorithmic Measure"],"role_in_the_chilling_effect":"Primary Source of Pressure","linked_records":[435],"country":[86],"geographic_area":["Europe","European Union","Council of Europe Area"],"year":2019,"event_date":"20191023","last_updated":null,"thematic_area":[42,52],"measure_type":["Surveillance or Data Collection","Digital or Algorithmic Measure","Economic or Financial Pressure"],"pressure_actor":"Private Company","affected_subjects":[74,76],"rights_involved":false,"relevant_legal_instruments_and_articles":[97,96,94,92,93],"record_status":"Challenged","case_outcome":"Possible Chilling Effect","outcome_description":"The measure consists of an automated creditworthiness assessment carried out by Dun & Bradstreet Austria and relied upon in the context of access to a mobile telephone contract. The assessment contributed to the refusal of a low-value contract and revealed a broader problem of opacity in automated profiling. The Austrian proceedings found that D&B had failed to provide meaningful information about the logic involved in the automated decision-making process. For the CHILL Barometer, this record assesses the restrictive measure itself: opaque scoring may discipline behaviour, restrict access to services and make it difficult for individuals to understand or challenge automated decisions. The CJEU judgment limiting this opacity should be assessed separately as a linked protective judicial response.","judicial_response":"Court Limits the Measure","judicial_forum":[98],"main_source":"","secondary_sources":"","source_type":[],"source_reliability":100,"overview":"This record concerns the automated creditworthiness assessment carried out by Dun & Bradstreet Austria and used in the context of access to a mobile telephone contract. CK was refused the conclusion or extension of a contract requiring a monthly payment of EUR 10 because, according to an automated assessment by D&B, she did not have sufficient financial creditworthiness. The dispute revealed significant opacity in the profiling process: Austrian proceedings found that D&B had not provided meaningful information about the logic involved in the automated decision-making based on CK\u2019s personal data. For the CHILL Atlas, the measure is relevant because automated credit scoring can restrict access to ordinary services, discipline economic behaviour and discourage individuals from challenging algorithmic decisions when the logic is opaque, difficult to verify or protected by trade-secret claims. The linked CJEU judgment should be treated separately as the protective judicial response that reduces this pressure.","barometer_status":"Provisional Assessment","barometer_scope":"Measure Assessment","effect_on_chilling_pressure":"Increases Pressure","chilling_effect_level":"High","measure_intensity":4,"legal_uncertainty":"4","sanctioning_risk":3,"breadth_of_affected_subjects":5,"vulnerability_of_affected_subjects":3,"documented_deterrent_effect":2,"public_visibility_exemplary_effect":2,"replicability_of_the_measure":5,"surveillance_or_data_collection":4,"procedural_safeguards":"","protective_judicial_response":"","corrective_or_mitigating_effect":"","barometer_source_reliability":5,"total_barometer_score":71,"barometer_confidence":"Medium","barometer_notes":"This assessment measures the restrictive impact of the automated creditworthiness assessment, not the protective effect of the CJEU judgment. The strongest restrictive indicators are breadth of affected subjects, replicability, surveillance or data collection, legal uncertainty and measure intensity. The measure increases chilling pressure because opaque automated credit scoring can affect access to services and make it difficult for individuals to understand, verify or challenge the reasons behind economically significant decisions. Protective indicators are set to 0 because the CJEU judgment should be assessed in a separate linked record as a protective judicial response. The score is provisional because the official sources document the dispute and the opacity of the scoring process, but further information is needed on the full data inputs, operational scope and broader empirical effects of D&B\u2019s scoring system.","presence_of_ai":"Yes","role_of_ai":["Risk Scoring"],"automation_level":"High","human_oversight":"Unknown","data_type_used":"Behavioural Data","ai_act_relevance":"High","environmental_context":[],"economic_actor_involved":[],"corporate_accountability_connection":["Not Assessed"],"aarhus_convention_connection":["Not 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