Download data.json from FedCal/ai-act-obligations: direct link, hf CLI and curl.
- Browser
- Download file 5.55 kB
-
https://huggingface.co/datasets/FedCal/ai-act-obligations/resolve/main/data.json
- Command line
-
hf download hf://datasets/FedCal/ai-act-obligations/data.json
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curl -L -o data.json https://huggingface.co/datasets/FedCal/ai-act-obligations/resolve/main/data.json
5.55 kB
| { | |
| "dataset": "ai-act-obligations-italy", | |
| "version": "1.0.0", | |
| "issued": "2026-04-22", | |
| "source_regulation": "Regulation (EU) 2024/1689", | |
| "source_url": "https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32024R1689", | |
| "license": "CC-BY-4.0", | |
| "publisher": "Federico Calò", | |
| "homepage": "https://federicocalo.dev/open-data", | |
| "records": [ | |
| { | |
| "article": "5(1)(a)", | |
| "risk_category": "unacceptable", | |
| "target_actor": "all_actors", | |
| "obligation_label": "Divieto di pratiche manipolative subliminali", | |
| "enforcement_start": "2025-02-02", | |
| "penalty_tier": "tier_1", | |
| "max_penalty_eur": 35000000, | |
| "max_penalty_pct_turnover": 7 | |
| }, | |
| { | |
| "article": "5(1)(c)", | |
| "risk_category": "unacceptable", | |
| "target_actor": "public_authorities", | |
| "obligation_label": "Divieto social scoring", | |
| "enforcement_start": "2025-02-02", | |
| "penalty_tier": "tier_1", | |
| "max_penalty_eur": 35000000, | |
| "max_penalty_pct_turnover": 7 | |
| }, | |
| { | |
| "article": "5(1)(h)", | |
| "risk_category": "unacceptable", | |
| "target_actor": "law_enforcement", | |
| "obligation_label": "Divieto RT remote biometric identification pubblica", | |
| "enforcement_start": "2025-02-02", | |
| "penalty_tier": "tier_1", | |
| "max_penalty_eur": 35000000, | |
| "max_penalty_pct_turnover": 7 | |
| }, | |
| { | |
| "article": "9", | |
| "risk_category": "high", | |
| "target_actor": "providers", | |
| "obligation_label": "Risk Management System", | |
| "enforcement_start": "2026-08-02", | |
| "penalty_tier": "tier_2", | |
| "max_penalty_eur": 15000000, | |
| "max_penalty_pct_turnover": 3 | |
| }, | |
| { | |
| "article": "10", | |
| "risk_category": "high", | |
| "target_actor": "providers", | |
| "obligation_label": "Data governance (training/validation/test)", | |
| "enforcement_start": "2026-08-02", | |
| "penalty_tier": "tier_2", | |
| "max_penalty_eur": 15000000, | |
| "max_penalty_pct_turnover": 3 | |
| }, | |
| { | |
| "article": "11", | |
| "risk_category": "high", | |
| "target_actor": "providers", | |
| "obligation_label": "Technical documentation (Annex IV)", | |
| "enforcement_start": "2026-08-02", | |
| "penalty_tier": "tier_2", | |
| "max_penalty_eur": 15000000, | |
| "max_penalty_pct_turnover": 3 | |
| }, | |
| { | |
| "article": "14", | |
| "risk_category": "high", | |
| "target_actor": "providers", | |
| "obligation_label": "Human oversight", | |
| "enforcement_start": "2026-08-02", | |
| "penalty_tier": "tier_2", | |
| "max_penalty_eur": 15000000, | |
| "max_penalty_pct_turnover": 3 | |
| }, | |
| { | |
| "article": "27", | |
| "risk_category": "high", | |
| "target_actor": "deployers", | |
| "obligation_label": "FRIA - Fundamental Rights Impact Assessment", | |
| "enforcement_start": "2026-08-02", | |
| "penalty_tier": "tier_2", | |
| "max_penalty_eur": 15000000, | |
| "max_penalty_pct_turnover": 3 | |
| }, | |
| { | |
| "article": "43", | |
| "risk_category": "high", | |
| "target_actor": "providers", | |
| "obligation_label": "Conformity assessment + CE marking", | |
| "enforcement_start": "2026-08-02", | |
| "penalty_tier": "tier_2", | |
| "max_penalty_eur": 15000000, | |
| "max_penalty_pct_turnover": 3 | |
| }, | |
| { | |
| "article": "50(1)", | |
| "risk_category": "limited", | |
| "target_actor": "providers_deployers", | |
| "obligation_label": "Chatbot disclosure", | |
| "enforcement_start": "2026-08-02", | |
| "penalty_tier": "tier_3", | |
| "max_penalty_eur": 7500000, | |
| "max_penalty_pct_turnover": 1 | |
| }, | |
| { | |
| "article": "50(2)", | |
| "risk_category": "limited", | |
| "target_actor": "providers", | |
| "obligation_label": "AI-generated content machine-readable", | |
| "enforcement_start": "2026-08-02", | |
| "penalty_tier": "tier_3", | |
| "max_penalty_eur": 7500000, | |
| "max_penalty_pct_turnover": 1 | |
| }, | |
| { | |
| "article": "50(4)", | |
| "risk_category": "limited", | |
| "target_actor": "deployers", | |
| "obligation_label": "Deepfake labeling", | |
| "enforcement_start": "2026-08-02", | |
| "penalty_tier": "tier_3", | |
| "max_penalty_eur": 7500000, | |
| "max_penalty_pct_turnover": 1 | |
| }, | |
| { | |
| "article": "53(1)(c)", | |
| "risk_category": "limited", | |
| "target_actor": "gpai_providers", | |
| "obligation_label": "GPAI copyright policy", | |
| "enforcement_start": "2025-08-02", | |
| "penalty_tier": "tier_4", | |
| "max_penalty_eur": 15000000, | |
| "max_penalty_pct_turnover": 3 | |
| }, | |
| { | |
| "article": "53(1)(d)", | |
| "risk_category": "limited", | |
| "target_actor": "gpai_providers", | |
| "obligation_label": "GPAI training data summary", | |
| "enforcement_start": "2025-08-02", | |
| "penalty_tier": "tier_4", | |
| "max_penalty_eur": 15000000, | |
| "max_penalty_pct_turnover": 3 | |
| }, | |
| { | |
| "article": "55", | |
| "risk_category": "high", | |
| "target_actor": "gpai_providers_systemic", | |
| "obligation_label": "Systemic risk assessment + incident reporting", | |
| "enforcement_start": "2025-08-02", | |
| "penalty_tier": "tier_4", | |
| "max_penalty_eur": 15000000, | |
| "max_penalty_pct_turnover": 3 | |
| } | |
| ], | |
| "counts_by_category": { | |
| "unacceptable": 8, | |
| "high": 14, | |
| "limited": 8, | |
| "gpai": 5 | |
| }, | |
| "timeline_key_dates": [ | |
| { "date": "2025-02-02", "milestone": "Prohibited practices + AI literacy" }, | |
| { "date": "2025-08-02", "milestone": "GPAI obligations + governance bodies" }, | |
| { "date": "2026-08-02", "milestone": "High-risk systems + transparency" }, | |
| { "date": "2027-08-02", "milestone": "Full application (Annex I products)" } | |
| ] | |
| } | |