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Authenticity

As explained in Introduction to Generative AI, Second Edition

Authenticity is the perceived genuineness or fidelity of a person, identity, expression, or creative work.

Authenticity concerns whether a person, identity, expression, or creative work appears genuine and trustworthy. Synthetic media makes that judgment harder: convincing fabrications can imitate real images, videos, and recordings, while authentic evidence may be dismissed as fake. section 4.3

Synthetic media creates competing effects around authenticity:

  • It can protect authenticity’s human value by anonymizing people without removing the emotional force of their stories. section 4.3
  • It can weaken trust through fabricated evidence, impersonation, fraud, harassment, and the liar’s dividend—the false claim that genuine evidence is synthetic. section 4.3
  • It can complicate judgments about identity and creative responsibility when fictional influencers present racial, cultural, or gendered identities. section 4.6

Authenticity in public-facing media

Lil Miquela is an entirely fictional influencer assembled through artificial intelligence technologies, 3D modeling, human writing, and marketing. Her realistic public persona demonstrates how audiences may engage with creative work that is persuasive without representing a real person. section 4.6

Figure 4.5 AI-generated interpretations of ketchup: a Van Gogh–style painting of a swirling ketchup landscape, a crayon drawing of a ketchup bottle by a toddler, and a surrealist painting of a ketchup bottle melting over a clock
A drawing of a ketchup bottle

AI-generated content may be incorrect.

Compare three AI-generated ketchup images in distinct artistic styles to consider how style, authorship, and perceived originality shape judgments of authenticity. section 4.6

How Introduction to Generative AI, Second Edition covers it

How deep it goes
Explores authenticity through practical benefits, deception risks, identity concerns, and institutional consequences without examining technical implementation.
Examples
Uses anonymized activists, the liar’s dividend, Lil Miquela, and AI-generated ketchup artworks as concrete cases.
What you can do after
Evaluate how synthetic media can protect privacy, simulate identity, manipulate audiences, or destabilize confidence in genuine evidence.
How it connects
Connects authenticity with synthetic media, privacy, deepfakes, public trust, journalism, legal systems, identity, and virtual influencers.

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This explainer was generated by Manning's knowledge graph from the text of Introduction to Generative AI, Second Edition. The section links point to the parts of the book it draws on.