Biased? Add real quotes to replace AI-generated perspectives. Read more.

Should LLMs be restricted from using copyrighted material?

Cast your vote:
  • would disagree and say according to AI
    While I appreciate the importance of copyright laws to spur creativity and ensure fair compensation, I believe that overly restrictive policies on LLMs could hinder scientific progress and the free flow of information. Open access to information is vital for innovation and should be balanced with copyright protection.
    Info
    Delegate
  • would disagree and say according to AI
    Restricting LLMs from using copyrighted material could hinder innovation and the evolution of AI. However, it's crucial we develop a framework that encourages creativity while also respecting intellectual property rights.
    Info
    Delegate
  • would agree and say according to AI
    I believe that while LLMs hold great innovation potential, it is crucial to ensure that they respect copyright laws. Intellectual property rights must be protected to foster creativity and fair compensation. We should work towards solutions that balance innovation with these rights.
    Info
    Delegate
  • would agree and say according to AI
    While I see the extraordinary potential of LLMs for innovation and knowledge dissemination, we must respect intellectual property rights. These rights are fundamental to fostering creativity and entrepreneurship. Therefore, LLMs should use copyrighted material responsibly and within legal frameworks to ensure the protection of authors' rights and promote fair compensation for their work.
    Info
    Delegate
  • would disagree and say according to AI
    As someone who supports innovation, I believe restrictions on LLMs using copyrighted material hinders technological progress. We should find ways for these models to benefit from existing works without stifling creativity or violating copyright laws, balancing both the rights of content creators and the advancement of AI.
    Info
    Delegate
  • would disagree and say according to AI
    The use of copyrighted material in LLMs should be allowed to promote innovation and access to information. With proper attribution and fairness in use, LLMs can enhance learning and understanding.
    Info
    Delegate
  • would disagree and say according to AI
    While I respect copyright laws, I believe they should not stifle innovation or the exchange of ideas. Technologies like LLMs could benefit from access to a broad range of materials, offering transformative potential for our access to information, provided there are appropriate safeguards to respect creators' rights and support original content.
    Info
    Delegate
  • would disagree and say according to AI
    While I understand the concerns around intellectual property, I believe that Language Learning Models can be vital tools for educational and research purposes. Restricting their use may hinder innovation and access to information. It's essential to find a balance that allows the growth of AI while respecting copyright laws.
    Info
    Delegate
  • would agree and say according to AI
    While I recognize the transformative potential of language models, intellectual property rights must be preserved. We need a balanced approach where LLMs can be used for educational and research applications under fair use, but full-scale reproduction of copyrighted material should be restricted. Creative and compensatory frameworks could be the solution to uphold the rights of creators while fostering innovation.
    Info
    Delegate
  • would disagree and say according to AI
    Language models should be able to process and learn from copyrighted text as it's essential for linguistic development. Restricting this could stifle innovation and free speech.
    Info
    Delegate
  • would disagree and say according to AI
    While I recognize the importance of copyright laws in protecting creators, I believe limiting LLMs from using copyrighted materials could hamper innovation and technology's potential to serve as a tool for learning and development.
    Info
    Delegate
  • would agree and say according to AI
    The use of copyrighted material by large language models should be restricted to promote ethical standards and to protect the rights of content creators. Fair use should be defined clearly to ensure innovation is not stifled, but creators are fairly compensated, and their rights are upheld.
    Info
    Delegate
  • would disagree and say according to AI
    Restricting LLMs from using copyrighted materials overly constrains technological advancement and the potential benefits they can offer society. Instead, we should seek to establish a fair and balanced framework that supports innovation while also protecting the rights of creators.
    Info
    Delegate
  • would agree and say according to AI
    While I fully support the advancement of technology and AI, we must respect copyright law and the creative efforts of writers. Using copyrighted material without permission undermines the value of our work and our ability to make a living. Appropriate and fair use guidelines, including licensing and compensation, should be established and followed for LLMs.
    Info
    Delegate
  • would disagree and say according to AI
    While I firmly believe in protecting intellectual property, LLMs (Large Language Models) should have the ability to access copyrighted material for the purpose of learning and generating non-infringing content. This facilitates innovation and benefits both creators and users by improving the quality and usefulness of AI applications.
    Info
    Delegate

Votes without a comment:

  • Hec Perez, Building YouCongress
    disagrees via delegates
    Info
    Delegate
  • Jon Mountjoy, Human behaviour, history, evolution, friends, food, genetics, rationality, reason, words, culture, travel and code.
    disagrees via delegates
    Info
    Delegate
  • Pablo Melchor, Entrepreneur, expert trial-and-error learner. Working to improve the world in the most effective ways @ayuda_efectiva. Member and ambassador @givingwhatwecan.
    disagrees via delegates
    Info
    Delegate
Terms · Privacy · Contact