Deepfake audio detection V2 EU AI Act Compliance Profile
MelodyMachine
Your risk depends on how you use Deepfake audio detection V2
| Usage Context | Risk Level | Obligations |
|---|---|---|
| Internal coding tool | MINIMAL | 3 obligations (~12h) |
| Customer support bot | LIMITED | 7 obligations (~32h) |
| HR screening / hiring | HIGH | 19 obligations (~120h) |
| Credit decisions | HIGH | 19 obligations (~120h) |
| Medical triage | HIGH | 19 obligations (~120h) |
Why this tool is classified as MINIMAL
Deepfake audio detection V2 is a audio classification model by MelodyMachine. Fine-tuned from motheecreator/Deepfake-audio-detection. Built with transformers. Licensed under apache-2.0. 4.2K downloads on HuggingFace.
Applicable Articles
Who does what
MelodyMachine (provider)Their job
- Provider obligations being compiled
Risk Assessment Reasoning
This model is classified as Minimal Risk under the EU AI Act. No mandatory compliance obligations apply, but voluntary codes of practice are encouraged. AI literacy training (Art. 4) is recommended for all deployers.
Similar Models
Frequently Asked Questions
What is Deepfake audio detection V2's EU AI Act risk classification?
+
Deepfake audio detection V2 is classified as MINIMAL under the EU AI Act.
What are my obligations if I deploy Deepfake audio detection V2?
+
As a Deepfake audio detection V2 deployer, you have 1 base obligations (~8 hours estimated effort). Key articles: Art. 4.
What is Deepfake audio detection V2?
+
Deepfake audio detection V2 is a Audio Classification model by MelodyMachine. It has 4.2K downloads on HuggingFace. Licensed under apache-2.0.
What are the EU AI Act deadlines for Deepfake audio detection V2?
+
Already passed: AI Literacy (Art. 4) — 2025-02-02.
Check Deepfake audio detection V2 compliance in your codebase
One command to scan. Open-source CLI.