Second, any new copyright regulation of AI should not negatively impact the public’s right and ability to access information, knowledge, and culture. A primary purpose of copyright is to expand access to knowledge. See Authors Guild v. Google, 804 F.3d 202, 212 (2d Cir. 2015) (“Thus, while authors are undoubtedly important intended beneficiaries of copyright, the ultimate, primary intended beneficiary is the public, whose access to knowledge copyright seeks to advance . . . .”). Proposals to amend the Copyright Act to address AI should be evaluated by the impact such new regulations would have on the public’s access to information, knowledge, and culture. In cases where proposals would have the effect of reducing public access, they should be rejected or balanced out with appropriate exceptions and limitations.
Third, universities, libraries, and other publicly-oriented institutions must be able to continue to ensure the public’s access to high quality, verifiable sources of news, scientific research and other information essential to their participation in our democratic society. Strong libraries and educational institutions can help mitigate some of the challenges to our information ecosystem, including those posed by AI. Libraries should be empowered to provide access to educational resources of all sorts– including the powerful Generative AI tools now being developed.
Read our full comments here.
In Memoriam of Python 2
Today, on the Day of the Dead 2023, we at the Internet Archive honor the death of Python 2. Having mostly emerged from one of the greatest software upgrade SNAFU’s in history—the migration from Python 2 to Python 3—we now shed a tear for that old version that served us so well.
When Python 3 was launched in 2008, it contained a number of significant improvements which nevertheless broke compatibility with the previous version of Python at the syntax, string-handling, and library level. As terrible as this sounds, breaking changes are fairly normal for a major software upgrade.
The two academics work at King’s College London in the Department of Digital Humanities—Bounegru is a lecturer in digital media and Gray is a senior lecturer in critical infrastructure studies. They are both interested in studying how media has changed with digital technology. The Internet Archive collection has been useful as they examine the history of the web, trends and evolution of websites and changes in technology, society and culture.
In one study of online myths and disinformation, the researchers used the Wayback Machine to understand how tracker signatures (snippets of code that embed ads and analytics on a website) of viral “fake news” sites changed over time. As websites were blacklisted from major ad networks, they looked up the archived versions of the websites to follow how their money-making practices via ads changed over time. This project was completed in collaboration with BuzzFeed news, which published an article about the findings and analytical techniques.
