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This set of vocabulary flashcards covers the ethical, forensic, and governance aspects of the deepfake crisis as discussed in the lecture notes.
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Deepfakes
Hyper realistic AI that alters the relationship with the truth and necessitates responses through ethics, forensics, and platform governance.
Liar's dividend
A phenomenon where actual truth is suddenly dismissed as fake news because of the prevalence of AI deepfakes.
Unauthorized identity hijacking
A violation where an individual's likeness or voice is reused without consent, such as when a programmer cloned David Attenborough's voice.
Physical bodies vs. digital likeness
A legal and ethical question regarding whether digital representations require the same legal protection as actual biological bodies.
Forensic arms race
A high-tech digital cat and mouse game between deepfake generation and detection algorithms.
Biological glitches
Physical inconsistencies in AI-generated videos that algorithms hunt for, including irregular eye blinking or subtle facial color shifts.
Invisible heartbeat
A specific biological glitch identified by subtle facial color shifts that current AI often struggles to replicate.
Platform governance
The role of big tech companies as gatekeepers of shared reality, responsible for managing the tools and playground they created.
Active authentication
A platform governance strategy involving the implementation of tools like digital watermarks to verify content.
Down ranking
A method used by tech platforms to reduce the visibility and reach of malicious deepfake content.
Media literacy
An educational initiative that big tech must boost to help users navigate the era of artificial illusions.