Update README.md

README.md

@@ -134,8 +134,6 @@ Where:
 * generation_model: model used to generate the sample
 * label: real or spoof
 
-Users should rely on these protocol files for split membership, labels, attack IDs, and metadata parsing.
-
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 ## Bona Fide and Synthetic Pairing
@@ -151,11 +149,9 @@ This design enables:
 
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-## Ethical Use
-
-AffectDF is released to support research on robust and responsible speech deepfake detection. The dataset should not be used for impersonation, deception, biometric spoofing, fraud, misinformation, or any harmful application.
+## Ethical Considerations
 
-Users should respect the licenses and terms of the original source corpora and generation models used to construct the dataset.
+In this work, we use publicly available datasets and models to generate synthetic speech for the purpose of improving speech deepfake detection. We do not release any additional speaker information beyond what is already available in the original source datasets, and we do not synthesize samples containing harmful or sensitive content. The generated data and analyses are intended solely to support research on robust detection, security, and responsible benchmarking of speech deepfakes. We do not intend for AffectDF or any generation pipeline described in this work to be used for impersonation, deception, or other malicious applications.
 
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