ðŸĪ–
ai and society nextbook
About
  • â„đïļIntroduction
  • 📖Definitions of AI
    • ðŸĶĢAI myths
    • 📃Critique of AI concept
    • 🔌AI as general purpose technology
    • ðŸĪ–Anthropomorphism
    • ⚙ïļAutomation bias
  • 📚The historical entanglements of AI and semiotics
  • 🌏Technology and society
    • ðŸĪ–The history of AI
    • 🛕Ancient automata
    • 📚Public understanding of science and technology
    • 🊖Technology and the military
  • 🗃ïļContemporary AI: Case studies
    • ðŸŽĨCase study: Superheroes, cyborgs, and artificial creatures in science fiction narratives
    • ðŸ’ŧCase study: problems with generative technologies
    • ðŸ§ēCase study: generative AI and copyright
    • ðŸĪ–Case study: mistaking CGI for miltech
    • 🙋Case study: renegotiating the social contract
  • 🌐Computer systems as social and semiotic technologies
  • 📝Exercises
    • ðŸ—ĢïļHeadline rephrasing
    • ðŸĪ–Anthropomorphism awareness
  • 📑References
  • ðŸŠķAbout this project
    • New Media and Technosemiotics modules@UPOL
    • HUGOD project
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  1. Contemporary AI: Case studies

Case study: problems with generative technologies

PreviousCase study: Superheroes, cyborgs, and artificial creatures in science fiction narrativesNextCase study: generative AI and copyright

Last updated 2 years ago

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Until recently, language was the unique domain of human beings. Now, new language technologies challenge this assumption and enable the production of synthetically generated content. Additionally, deepfake algorithms enable the imitation of human voices and faces. It is increasingly difficult to recognise synthetic content as such. What does this mean for our culture(s)? How do text generators such as GPT-3 and deepfake technologies interfere with our traditional understanding of communication?

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