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The Moral Implications of Deepfakes
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Flashcards
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Autoencoders and Decoders
Misuse can lead to creation of convincing fake content that may damage reputations or spread false information.
Generative Adversarial Networks (GANs)
Possibility of deepfakes being used in disinformation campaigns that could influence public opinion and elections.
FaceSwap Technology
Can violate individual consent and privacy, leading to identity theft and unauthorized use of one's likeness.
Deep Learning Algorithms
Risk of algorithmic bias, where deepfakes might propagate stereotypes or biases inherent in the training data.
Lip Syncing and Voice Generation
Ability to create fake audiovisual content might lead to blackmail, fraud, and defamation cases.
Texture Synthesis and Manipulation
Altering textures and backgrounds may fabricate scenarios or create misleading contexts, impacting the credibility of visual information.
Style Transfer
Raises concerns about artistic ownership and copyright infringement when replicating the style of well-known artists or content creators.
Behavioral Modeling
Fabricated actions or expressions in deepfakes could result in character assassination or manipulation of a person's perceived actions.
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