Free Quiz
Write for Us
Learn Artificial Intelligence and Machine Learning
  • Artificial Intelligence
  • Data Science
    • Language R
    • Deep Learning
    • Tableau
  • Machine Learning
  • Python
  • Blockchain
  • Crypto
  • Big Data
  • NFT
  • Technology
  • Interview Questions
  • Others
    • News
    • Startups
    • Books
  • Artificial Intelligence
  • Data Science
    • Language R
    • Deep Learning
    • Tableau
  • Machine Learning
  • Python
  • Blockchain
  • Crypto
  • Big Data
  • NFT
  • Technology
  • Interview Questions
  • Others
    • News
    • Startups
    • Books
Learn Artificial Intelligence and Machine Learning
No Result
View All Result

Home » New study explores role of generative AI in the use of copyrighted material

New study explores role of generative AI in the use of copyrighted material

Tarun Khanna by Tarun Khanna
May 12, 2025
in Artificial Intelligence, Machine Learning
Reading Time: 2 mins read
0
New study explores role of generative AI in the use of copyrighted material

Photo Credit: https://techxplore.com/

Share on FacebookShare on TwitterShare on LinkedInShare on WhatsApp

Generative artificial intelligence (AI) facilitates the compilation of large volumes of statistics, which often include copyrighted materials. While debates about the legality of the procedure abound, in a current report issued by the America Copyright Office, researchers examine to what degree allowing or restricting this practice serves the economic goals of copyright. In short, does AI shift the balance among incentives and access and, what policies should recalibrate that balance?

A chapter, written by researchers at Carnegie Mellon University, appears in a book on AI and copyright policy edited by of the chief economist at the U.S. Copyright Office. The report functions discussions by members of ad hoc committee of economic scholars convened to address economic issues at the intersection of AI and copyright policy.

“One of the goals of copyright is to facilitate cultural and scientific invention, which needs balancing the economic rewards that can be captured with the aid of manufacturers of innovative works with their capability to get access to existing works as part of the innovative process,” explains Michael D. Smith, Professor of Information Technology and Public Policy at Carnegie Mellon’s Heinz College, who contributed to the report.

Also Read:

Huawei declares new Ascend chips, to power world’s most powerful clusters

New Research Highlights Scheming Risks in AI Models—and Promising Mitigation Methods

Mythos AI and lomarlabs set up sea-pilot AI assistance

Are AI Models on the Autism Spectrum? Exploring the Parallels

“That accumulative innovative technique is the foundation of innovation, and a few keep in mind generative AI as similar as because it ingests present works and produces something apparently new,” Smith continues. “In that experience, the algorithms are engaging in the sort of innovation procedures that copyright policy goals to encourage.”

However, two questions are main, say the researchers: What social benefits come from developers having access to training materials? And what are the suggestions for the incentives of human creators to produce works? In the report, they don’t forget the second one query with the aid of inspecting the effects of the usage of generative AI to compile data on industrial incentives to create and on intrinsic incentives to create, and through suggesting licensing as a potential solution.

“There are few available policy instruments to combat incentives for holders of copyrights to in further limit public access to their works in response to ingestion,” suggests Rahul Telang, Professor of Information Systems and Management at Carnegie Mellon’s Heinz College and at its Tepper School of Business, who contributed to the report.

“Indeed, the only potentially feasible solution can be a licensing requirement for ingestion, even though it may come with demanding situations and limitations, together with problems associated with transparency and enforcement.”

The report includes a discussion of a issues associated with demanding copyright holders to opt out of getting their copyrighted data used to train models, which the European Union mandates. This would change the nature of cutting-edge copyright protections by shifting the burden for action from the user of the copyrighted material to the copyright owners, which represents a meaningful burden on rightsholders, the authors say.

ShareTweetShareSend
Previous Post

Google launches ‘implicit caching’ to make having access to its latest’s AI models less expensive

Next Post

NYC Mayor declares City’s First Crypto Summit

Tarun Khanna

Tarun Khanna

Founder DeepTech Bytes - Data Scientist | Author | IT Consultant
Tarun Khanna is a versatile and accomplished Data Scientist, with expertise in IT Consultancy as well as Specialization in Software Development and Digital Marketing Solutions.

Related Posts

NASA Tests AI “Doctor” to help Astronauts on Future Mars Missions
Artificial Intelligence

NASA Tests AI “Doctor” to help Astronauts on Future Mars Missions

September 15, 2025
Switzerland introduces Apertus, a Fully Open AI Model for Research and Industry
Artificial Intelligence

Switzerland introduces Apertus, a Fully Open AI Model for Research and Industry

September 10, 2025
3 Questions: The pros and cons of synthetic data in AI
Artificial Intelligence

3 Questions: The pros and cons of synthetic data in AI

September 4, 2025
AI hacking device exploits zero-day safety vulnerabilities in minutes
Artificial Intelligence

AI hacking device exploits zero-day safety vulnerabilities in minutes

September 3, 2025
Next Post
NYC Mayor declares City’s First Crypto Summit

NYC Mayor declares City’s First Crypto Summit

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

− 2 = 1

TRENDING

Initial Coin Offering (ICO) Guide

initial-coin-offerings-ICO
by Tarun Khanna
March 30, 2022
0
ShareTweetShareSend

Useful Data Analysis Software for 2021 and beyond

data-analysis-tools
by Tarun Khanna
May 11, 2021
0
ShareTweetShareSend

Top Companies that use Big Data

bigdata
by Sarah Gomes
January 30, 2021
0
ShareTweetShareSend

NASA Tests AI “Doctor” to help Astronauts on Future Mars Missions

NASA Tests AI “Doctor” to help Astronauts on Future Mars Missions

Photo Credit: https://opendatascience.com/

by Tarun Khanna
September 15, 2025
0
ShareTweetShareSend

The Machine Learning Libraries Open Sourced by Facebook

The-Machine-Learning-Libraries-Open-Sourced-by-Facebook
by Tarun Khanna
April 19, 2021
0
ShareTweetShareSend

Empirical Problems Of Machine Learning

Problems Of Machine Learning
by Tarun Khanna
February 13, 2021
0
ShareTweetShareSend

DeepTech Bytes

Deep Tech Bytes is a global standard digital zine that brings multiple facets of deep technology including Artificial Intelligence (AI), Machine Learning (ML), Data Science, Blockchain, Robotics,Python, Big Data, Deep Learning and more.
Deep Tech Bytes on Google News

Quick Links

  • Home
  • Affiliate Programs
  • About Us
  • Write For Us
  • Submit Startup Story
  • Advertise With Us
  • Terms of Service
  • Disclaimer
  • Cookies Policy
  • Privacy Policy
  • DMCA
  • Contact Us

Topics

  • Artificial Intelligence
  • Data Science
  • Python
  • Machine Learning
  • Deep Learning
  • Big Data
  • Blockchain
  • Tableau
  • Cryptocurrency
  • NFT
  • Technology
  • News
  • Startups
  • Books
  • Interview Questions

Connect

For PR Agencies & Content Writers:

connect@deeptechbytes.com

Facebook Twitter Linkedin Instagram
Listen on Apple Podcasts
Listen on Google Podcasts
Listen on Google Podcasts
Listen on Google Podcasts
DMCA.com Protection Status

© 2024 Designed by AK Network Solutions

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Artificial Intelligence
  • Data Science
    • Language R
    • Deep Learning
    • Tableau
  • Machine Learning
  • Python
  • Blockchain
  • Crypto
  • Big Data
  • NFT
  • Technology
  • Interview Questions
  • Others
    • News
    • Startups
    • Books

© 2023. Designed by AK Network Solutions