Part 8/12:
Melissa acknowledges that detecting deepfakes isn't straightforward. Current tools mainly analyze statistical patterns and deviations in images or videos, providing likelihood scores rather than certainties. The difficulty amplifies when content is screenshot or recaptured, which can strip away metadata crucial for provenance verification.
Despite these complexities, Melissa remains optimistic, emphasizing continuous advancements in the field:
Metadata & Watermarking: Embedding source and ownership information directly into media files offers a promising layer of protection.
Real-Time Detection: Developing computer vision tools that alert individuals immediately when their likeness is used or manipulated ensures prompt action.