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Isticmaalka Xaqa ah iyo Aqoonta Tababarka AI

Wuxuu tijaabiyaa afarta arrimood ee isticmaalka cadaaladda ah, sida Bartz v. Anthropic ay u kala sooceen tababarka iyo la wareegidda burcad-badeedda, iyo waxyeelada suuqa ee Kadrey v. Meta.

Wadooyinka haga ee la xidhiidhaIsticmaalka Cadaalada iyo Xogta Tababarka AI
Su'aal 1 ee 8

Waa kuwee qodobka isticmaalka cadaalada ah ee waydiinaya waxyeelada suuqa shaqada asalka ah?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. Waa kuwee qodobka isticmaalka cadaalada ah ee waydiinaya waxyeelada suuqa shaqada asalka ah?
    • Factor one
    • Factor two
    • Factor three
    • Factor four
  2. Maxay maxkamaddu u diiday isticmaalka caddaaladda ee Thomson Reuters v. Ross Intelligence?
    • Ross copied Westlaw headnotes to build a competing, non-generative tool
    • Ross used pirated novels
    • Ross published the headnotes as a book
    • Ross failed to register its software
  3. Bartz v. Anthropic, maxaa xaakim Alsup helay ee aan lagu daboolin isticmaalka cadaalad ah?
    • Training on purchased books
    • Building a central library from pirated copies
    • Scanning purchased print books
    • Using the trained model to answer questions
  4. Degsiimo noocee ah ayuu Anthropic ka gaadhay Bartz, sida la sheegay?
    • $15 million total
    • No money, only an apology
    • About $1.5 billion, roughly $3,000 per covered work
    • A license to use all future books free
  5. Muxuu Meta ugu guulaystay Kadrey v. Meta?
    • The authors did not develop evidence of market harm
    • The judge ruled all AI training is always legal
    • The books were in the public domain
    • Meta had licenses for every book
  6. What is 'market dilution' as discussed in Kadrey?
    • A drop in stock price after a lawsuit
    • Lower printing costs for publishers
    • Mixing training data from different sources
    • Floods of AI-generated works competing with originals
  7. What did Warhol v. Goldsmith emphasize for factor one?
    • Any commercial use is unfair
    • Only nonprofit uses can be fair
    • Whether the use serves a different purpose, not just adds new meaning
    • The length of the copied work
  8. Why does the guide say output filtering cannot cure every fair use problem?
    • Filters are illegal
    • Liability can arise from how the data was acquired, before any output
    • Filters always slow models down
    • Courts never consider outputs