Close Menu
    Trending
    • Achieving 5x Agentic Coding Performance with Few-Shot Prompting
    • Why the Sophistication of Your Prompt Correlates Almost Perfectly with the Sophistication of the Response, as Research by Anthropic Found
    • From Transactions to Trends: Predict When a Customer Is About to Stop Buying
    • America’s coming war over AI regulation
    • “Dr. Google” had its issues. Can ChatGPT Health do better?
    • Evaluating Multi-Step LLM-Generated Content: Why Customer Journeys Require Structural Metrics
    • Why SaaS Product Management Is the Best Domain for Data-Driven Professionals in 2026
    • Stop Writing Messy Boolean Masks: 10 Elegant Ways to Filter Pandas DataFrames
    ProfitlyAI
    • Home
    • Latest News
    • AI Technology
    • Latest AI Innovations
    • AI Tools & Technologies
    • Artificial Intelligence
    ProfitlyAI
    Home » AI copyright anxiety will hold back creativity
    AI Technology

    AI copyright anxiety will hold back creativity

    ProfitlyAIBy ProfitlyAIJune 17, 2025No Comments3 Mins Read
    Share Facebook Twitter Pinterest LinkedIn Tumblr Reddit Telegram Email
    Share
    Facebook Twitter LinkedIn Pinterest Email


    Throughout a later go to to a Picasso exhibit in Milan, I got here throughout a famous informational diagram by the artwork historian Alfred Barr, mapping how modernist actions like Cubism advanced from earlier inventive traditions. Picasso is usually held up as considered one of fashionable artwork’s most unique and influential figures, however Barr’s chart made plain the numerous artists he drew from—Goya, El Greco, Cézanne, African sculptors. This made me surprise: If a generative AI mannequin had been fed all these inputs, may it have produced Cubism? Might it have generated the subsequent nice inventive “breakthrough”?

    These experiences—unfold throughout three cities and centered on three iconic artists—coalesced right into a broader reflection I’d already begun. I had just lately spoken with Daniel Ek, the founding father of Spotify, about how restrictive copyright legal guidelines are in music. Music preparations and lyrics get pleasure from longer safety than many pharmaceutical patents. Ek sits at the forefront of this debate, and he noticed that generative AI already produces an astonishing range of music. A few of it’s good. A lot of it’s horrible. However almost all of it borrows from the patterns and constructions of present work.

    Musicians already routinely sue each other for borrowing from earlier works. How will the regulation adapt to a type of artistry that’s pushed by prompts and precedent, constructed solely on a corpus of present materials?

    And the questions don’t cease there. Who, precisely, owns the outputs of a generative mannequin? The person who crafted the immediate? The developer who constructed the mannequin? The artists whose works have been ingested to coach it? Will the social forces that form inventive standing—critics, curators, tastemakers—nonetheless maintain sway? Or will a brand new, AI-era hierarchy emerge? If each artist has at all times borrowed from others, is AI’s generative recombination actually so completely different? And in such a litigious tradition, how lengthy can copyright regulation maintain its present type? The US Copyright Workplace has begun to tackle the thorny issues of ownership and says that generative outputs may be copyrighted if they’re sufficiently human-authored. However it’s taking part in catch-up in a quickly evolving discipline. 

    Completely different industries are responding in several methods. The Academy of Movement Image Arts and Sciences recently announced that filmmakers’ use of generative AI wouldn’t disqualify them from Oscar competition—and that they wouldn’t be required to reveal once they’d used the know-how. A number of acclaimed movies, together with Oscar winner The Brutalist, included AI into their manufacturing processes.

    The music world, in the meantime, continues to wrestle with its definitions of originality. Think about the current lawsuit towards Ed Sheeran. In 2016, he was sued by the heirs of Ed Townsend, co-writer of Marvin Gaye’s “Let’s Get It On,” who claimed that Sheeran’s “Pondering Out Loud” copied the sooner track’s melody, concord, and rhythm. When the case lastly went to trial in 2023, Sheeran introduced a guitar to the stand. He performed the disputed four-chord development—I–iii–IV–V—and wove collectively a mash-up of songs constructed on the identical basis. The purpose was clear: These are the fundamental items of songwriting. After a short deliberation, the jury found Sheeran not liable.

    Reflecting after the trial, Sheeran said: “These chords are frequent constructing blocks … Nobody owns them or the best way they’re performed, in the identical approach nobody owns the color blue.”



    Source link

    Share. Facebook Twitter Pinterest LinkedIn Tumblr Email
    Previous ArticleAI Models & Ethical Data: Building Trust in Machine Learning
    Next Article De här jobben kommer inte att existera om 24 månader
    ProfitlyAI
    • Website

    Related Posts

    AI Technology

    America’s coming war over AI regulation

    January 23, 2026
    AI Technology

    “Dr. Google” had its issues. Can ChatGPT Health do better?

    January 22, 2026
    AI Technology

    Everyone wants AI sovereignty. No one can truly have it.

    January 22, 2026
    Add A Comment
    Leave A Reply Cancel Reply

    Top Posts

    Inside the Trump Administration’s New AI Action Plan

    July 29, 2025

    10 Ways AI Can Improve Your Reading And Writing In 2025 » Ofemwire

    April 4, 2025

    Off-the-Shelf AI Training Data: Benefits, Use Cases, and Vendor Selection Tips

    April 3, 2025

    Eco-driving measures could significantly reduce vehicle emissions | MIT News

    August 7, 2025

    The Programming Skills You Need for Today’s Data Roles

    September 6, 2025
    Categories
    • AI Technology
    • AI Tools & Technologies
    • Artificial Intelligence
    • Latest AI Innovations
    • Latest News
    Most Popular

    What Optimization Terminologies for Linear Programming Really Mean

    July 22, 2025

    The Machine Learning “Advent Calendar” Day 13: LASSO and Ridge Regression in Excel

    December 13, 2025

    Nvidia rekommenderar att varje land ska ha en egen nationell AI

    May 26, 2025
    Our Picks

    Achieving 5x Agentic Coding Performance with Few-Shot Prompting

    January 23, 2026

    Why the Sophistication of Your Prompt Correlates Almost Perfectly with the Sophistication of the Response, as Research by Anthropic Found

    January 23, 2026

    From Transactions to Trends: Predict When a Customer Is About to Stop Buying

    January 23, 2026
    Categories
    • AI Technology
    • AI Tools & Technologies
    • Artificial Intelligence
    • Latest AI Innovations
    • Latest News
    • Privacy Policy
    • Disclaimer
    • Terms and Conditions
    • About us
    • Contact us
    Copyright © 2025 ProfitlyAI All Rights Reserved.

    Type above and press Enter to search. Press Esc to cancel.