Which method best helps an organization identify AI-driven alterations in a recorded announcement?
Applying robust hashing and comparing results to known copies
Posting disclaimers on broadcasting platforms
Inviting guest lecturers to discuss creation methods
Sending a notice to discourage questionable uploads
Applying robust hashing and comparing results to a known reference copy helps confirm whether the file has been changed. Cryptographic checksums are calculated before and after the recording is published, and any unexpected difference in the values indicates potential tampering. Other strategies, such as hosting speaking events, relying on email notices, or placing general disclaimers, do not offer a reliable detection process for unauthorized edits.
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