Within 45 days of the date of this order, for purposes of considering updates to the “Schedule A” list of occupations, 20 C.F.R. Alternatively, do we want human juries considering facts presented by human attorneys describing the alleged conduct of two machines? These are considerations not just about two works, but about human conduct. In supervised feature learning, features are learned using labeled input data. This availability of data – from things we share on social media to machine data generated by connected industrial machinery – means computers now have a universe of information available to them, to help them learn more efficiently and make better decisions. But this doesn’t make AI philosophy, any more than some of the deeper, more aggressive claims of some physicists (e.g., that the universe is ultimately digital in nature) make their field philosophy. Before sharing sensitive information, make sure you’re on a federal government site.
The site is secure. This can aid in diagnosing diseases at an early stage or even predicting epidemics by analyzing large-scale health data. The Lancet Digital Health. The Office largely dismissed Thaler’s second argument, that the work should be registered as a work made for hire as dependent on its resolution of the first-since the Creativity Machine was not a human being, it could not enter into a “work made for hire” agreement with Thaler. Pursuant to this procedure Thaler appealed the refusal to the Copyright Office Review Board comprised of The Register of Copyrights, The General Counsel of the Copyright Office and a third individual sitting by designation. In November 2023, OpenAI’s board removed Sam Altman as CEO, citing a lack of confidence in him, and then reinstated him five days later after negotiations resulting in a reconstructed board. On March 3, 2023, Reid Hoffman resigned from his board seat, citing a desire to avoid conflicts of interest with his investments in AI companies via Greylock Partners, and his co-founding of the AI startup Inflection AI. Id. (Citing Refusal of First Request for Reconsideration from U.S.
37 CFR 202.5 establishes the Reconsideration Procedure for Refusals to Register by the Copyright Office. Among the examples cited in the Copyright Office Compendium as ineligible for copyright protection is “a piece of driftwood shaped by the ocean,” a potentially instructive analog as the debate about copyright and AI gets louder in the near future. And with that statement, I have just implicated a constitutional argument because the purpose of copyright law, as stated in Article I Clause 8, is to “promote science.” Moreover, the first three subjects of protection in 1790-maps, charts, and books-suggest a view at the founding period that copyright’s purpose, twinned with the foundation for patent law, was more pragmatic than artistic. The response to the WMFH argument should be that corporate-authored works are only protected because they are made by human employees who have agreed, under the terms of their employment, to provide authorship for the corporation. It seems to me that the Copyright Office is correct that the argument must rise or fall with the resolution of the baseline question of whether a copyrightable work can be authored by an AI to begin with. This is plausible, but if the primary purpose of registration is to establish a foundation for defending copyrights in federal court, the prospect of a discovery process could militate against rampant falsification of copyright applications.
Next, the primary reason to register a claim of copyright with the USCO is to provide the author with the opportunity, if necessary, to file a claim of infringement in federal court. The utilitarian view generally rejects the notion that copyright protects any natural rights of the author beyond the right to be “paid something” for the exploitation of her works, and this cynical, mercenary view of authors would likely gain traction if we were to establish a new framework for machine authorship. But in recent years, there has been a revolution in the field; machine learning has become much more effective, especially in a supercharged form known as deep learning. Imagine a polity which decides that AI should be carefully controlled by the state, and only take the form of giant projects, well regulated, and only accessing licensed content, while a different nation prefers a wild west approach, with many types of AI projects using all kinds of content. Like a journalist, content writer, or screenwriter, it can spit out long-form prose and stories in seconds.