Tag Archives: ai

USPTO Issues 2024 Guidance on Patent Eligibility for AI Inventions

by Dennis Crouch

Earlier this week I was reviewing some of the USPTO's eligibility examples, noting that they were all quite old.  As if on cue, the Office has released a new set of updated guidelines - focusing on Artificial Intelligence related inventions and including three new examples.  In Bilski, the Supreme Court explained that the best way to understand whether a particular claimed invention is directed to an "abstract idea" is to look back on old examples for guidance.  The USPTO has found that a good way to administer this approach is to provide examples of situations that pass or fail the test.  Here, they introduce three new examples 47, 48, and 49.  And, while the Alice/Mayo test for analyzing subject matter eligibility has not changed, the new guidance is helpful as AI technology rapidly develops.   The USPTO continues to be open to issuing patents on AI inventions, including the use of AI. However, there must be a technical solution to a technical problem.

Although the guidance is effective July 17, 2024, the USPTO is open to comments via the regulations.gov portal.  The agency has provided two updated flow charts for its analysis that are included below. Although the USPTO guidance is not binding law,  it is the guidebook that examiners will be trained upon and required to use.  As such, any patent attorney operating practicing in the AI area should dig through these examples and the particular cases chosen by the Office as representative.


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Navigating the USPTO’s Regulatory Wave: Key Comment Deadlines for Summer 2024

by Dennis Crouch

Over the past two months, the USPTO has issued an unusually large number of public comment requests related to various proposed rules and procedure changes. This wave of RFCs includes significant proposals aimed at adjusting patent fees for fiscal year 2025, refining terminal disclaimer practices, and addressing the impact of artificial intelligence on prior art and patentability. The agency is also seeking feedback on formalizing the Director Review process following Arthrex and various changes to IPR proceedings, including discretionary review. And there's more...


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Discerning Signal from Noise: Navigating the Flood of AI-Generated Prior Art

by Dennis Crouch

This article explores the impact of Generative AI on prior art and potential revisions to patent examination standards to address the rising tidal wave of AI-generated, often speculative, disclosures that could undermine the patent system's integrity.


The core task of patent examination is identifying quality prior art.  References must be sufficiently accessible, clear, and enabling to serve as legitimate evidence of what was previously known.  Although documents are widely available today via our vast network of digital communications, there is also increasing junk in the system -- documents making unsubstantiated claims that are effectively science fiction.  Patent offices prefer patent documents as prior art because they are drafted to meet the strict enablement standards and filed with sworn veracity statements. Issued patents take this a step further with their imprimatur of issuance via successful examination.  Many of us learned a mantra that "a prior art reference is only good for what it discloses" -- but in our expanding world of deep fakes, intentional and otherwise, is face value still worth much?

In a new request for comments (RFC), the USPTO has asked the public to weigh in on these issues -- particularly focusing on the impact of generative artificial intelligence (GenAI) on prior art.


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AI Visualize and the Eligibility of Innovative AI Systems

by Dennis Crouch

The recent eligibility decision in AI Visualize v. Nuance, __ F.4th __ (Fed. Cir. 2024), gives me pause to consider more general eligibility issues of AI Inventions. When does the design or creation of AI system elements qualify as an eligible invention?  In his recent article, Prof. Nikola Datzov wrote what we have all been thinking: "Innovative applications of AI are everywhere we look [and are] revolutionizing our society."  Nikola L. Datzov, The Role of Patent (In)Eligibility in Promoting Artificial Intelligence Innovation, 92 UMKC L. REV. 1, 4 (2023).

In AI Visualize, the Federal Circuit


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AI as Author: Thaler v. Perlmutter Now Before the DC Circuit

by Dennis Crouch

The leading case on copyrightability of AI created works is now pending before the Court of Appeals for the District of Columbia. The case, Thaler v. Perlmutter, No. 23-5233 (D.C. Cir. 2024), centers on Dr. Stephen Thaler's attempts to register a copyright for an artistic image autonomously generated by his AI system that he has named the "Creativity Machine." The U.S. Copyright Office refused registration on the basis that the work lacked the required human authorship. Thaler filed suit challenging this determination.  The parties have now filed their briefs, along with one law professor amicus brief in support of Thaler.


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Using AI in your Patent Practice

By Dennis Crouch

Over the past year I've been investigating various generative Artificial Intelligence (GenAI) tools for assisting patent attorneys in their practice.  I have a strong belief that these tools and their progeny are now fixtures in our legal environment and are being used to both improve efficient delivery of legal services and to also improve the quality of those services.  Of course the generative creativity of our LLMs go hand in hand with hidden false narratives or hallucinations. Vendors are stepping up to thread the needle here: providing valuable GenAI tools while limiting false story telling.  As we move forward some of the struggle will be a focus on how much the attorney needs to know about how the GenAI works in order to use it responsibly.

Enter the USPTO and its Wet Blanket: The USPTO has released new guidance on the use of AI tools in practice before the USPTO.


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The AGI Lawsuit: Elon Musk vs. OpenAI and the Quest for Artificial General Intelligence that Benefits Humanity

By Dennis Crouch

Elon Musk was instrumental in the initial creation of OpenAI as a nonprofit with the vision of responsibly developing artificial intelligence (AI) to benefit humanity and to prevent monopolistic control over the technology. After ChatGPT went viral in late 2022, the company began focusing more on revenue and profits.  It added a major for-profit subsidiary and completed a $13+ billion deal with Microsoft -- entitling the industry giant to a large share of OpenAI's future profits and a seat on the Board. 

In a new lawsuit, Elon Musk alleges that OpenAI and its CEO Sam Altman have breached the organization's founding vision. [Musk vs OpenAI]. 


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Making a Proper Determination of Obviousness

by Dennis Crouch

Earlier this week, the USPTO published updated examination guidelines regarding obviousness determinations under 35 U.S.C. §103. While these new guidelines are not legally binding, they offer important insight into how the Office plans to apply an even more flexible approach to obviousness -- something Director Vidal sees as mandated by the Supreme Court’s 2007 decision in KSR Int'l Co. v. Teleflex Inc., 550 U.S. 398 (2007). (2500 words).

Read the Guidance Here.

Overall the guidance here suggests that the office is looking to make non-obviousness a larger hurdle via increased flexibility.  Still, the guidelines spend some time on the requirements of a prima facie case; the necessity of both evidence and reasoning to support any obviousness rejection; and consideration of all evidence before the examiner.  Obviousness is already the most common rejection - with the vast majority of applications being initially rejected as obvious.  It will be interesting to see whether the rates go up even further following this new guidance. 

This post breaks down the guidelines and walks through some potential strategies for patent applicants. 


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Joint Inventorship: AI-Human Style

by Dennis Crouch

The U.S. Patent and Trademark Office (USPTO) recently published examination guidance and a request for comments on the treatment of inventorship for inventions created with the assistance of artificial intelligence (AI) systems.  Inventorship Guidance for AI-Assisted Inventions.

The key takeaway here is that the USPTO believes that an AI-developed invention is patentable so long as a human satisfies the joint-inventorship standard of "significantly contributing to the invention." A human who provides a significant contribution may be the sole inventor and original owner, even in situations where the AI provided the greater contribution.

The PTO's approach here is fairly broad and will likely serve current AI use cases in most situations because most AI invention models of today are tightly controlled and managed by humans rather than simply arising from AI autogeneration or broad prompting. Thus, from a practical effect, there will likely be at least one natural person who satisfies the joint inventorship standard in the vast majority of cases. (Recognizing here that mere control of an AI is insufficient. Rather, the human must provide significant inventive contribution).

Although I am very sympathetic to recognizing human contributions, I also want a patent system that broadly encourages innovation without either prescribing or proscribing particular approaches. The flexibility of this guidance allows room for both human and machine intelligence to intersect in the creative process. But, we should continue monitoring the effects the policy to ensure it does not unduly constrain AI's eventual capacity to autonomously formulate inventive concepts. But for now, the USPTO's basic framework reasonably balances competing interests.

But, the USPTO's approach is not fully grounded in the law because it allows for patenting of an invention in a situation where no human or combination of humans fully conceived of and originated the invention. Rather, we are simply looking for at least one human who provided a significant contribution. The guidance does not particularly address this issue and, by declining to specifically justify the legal grounds why human "significant contributions" suffice even without complete conception, the USPTO leaves the door open to contrary arguments. Opponents could contend that full conception remains legally required for inventorship and that this expansion of the inventorship doctrine exceeds the statutory language.  It is not clear who will have standing to make this particular argument.


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Ethical Infantilism in the Age of Technological Advancement

by Dennis Crouch

Martin Luther King Jr. received the Nobel Peace Prize in 1964, and I re-read his speech today -- especially the portion contrasting development of science and technology against development of the human spirit.  The past 60 years have continued to reveal astonishing discoveries and invention. Yet King’s words and warnings continue to resonate because we have continued to neglect our internal realm.

Every man lives in two realms, the internal and the external. The internal is that realm of spiritual ends expressed in art, literature, morals, and religion. The external is that complex of devices, techniques, mechanisms, and instrumentalities by means of which we live.

King.  In his speech, King did not decry advances in technology, but argued that the level of attention paid to material advances should be matched by attention to moral and spiritual humanism.

Modern man has brought the whole world to an awe-inspiring threshold of the future. He has reached new and astonishing peaks of scientific success. He has produced machines that think, and instruments that peer into the unfathomable ranges of interstellar space. He has built gigantic bridges to span the seas and gargantuan buildings to kiss the skies. His airplanes and spaceships have dwarfed distance, placed time in chains, and carved highways through the stratosphere. This is a dazzling picture of modern man’s scientific and technological progress.

Yet, in spite of these spectacular strides in science and technology, and still unlimited ones to come, something basic is missing. There is a sort of poverty of the spirit which stands in glaring contrast to our scientific and technological abundance. The richer we have become materially, the poorer we have become morally and spiritually. We have learned to fly the air like birds and swim the sea like fish, but we have not learned the simple art of living together as brothers.

Id.


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No Patent for Robot Inventions: UK Supreme Court Rules on AI Inventorship in Thaler v. Comptroller-General

by Dennis Crouch

Thaler v. Comptroller-General of Patents, Designs and Trade Marks, [2023] UKSC 49. 

In a December 20, 2023 decision, the UK Supreme Court has agreed with American courts that an inventive machine is not deserving of patent rights.  The underlying case will be familiar to many with Dr. Stephen Thaler of St. Louis seeking to patent a thermal-mug designed by an artificial intelligence machine that he created.  Thaler has argued that the AI (called DABUS) conceived of the particular invention in question and also identified its practical utility.  The UK Supreme court based its holding upon the text of the UK Patents Act of 1977 as it reached the same ultimate conclusion as the Federal Circuit in Thaler v. Vidal, 43 F.4th 1207 (Fed. Cir. 2022), cert. denied, 143 S. Ct. 1783 (2023).

These Thaler cases showcase that under the current patent law regime, autonomous AI systems cannot qualify as inventors entitled to patent rights, irrespective of their creativity. For AI-generated inventions to become patentable, intervention by policymakers to amend inventorship laws would likely be necessary. However, the arguably bigger questions of immediate importance surround collaborative human-AI inventions where both human and machine contribute in creation of a new invention. Thaler expressly disclaimed any human input into DABUS’s inventions, but going forward mixed human-AI inventor teams seem inevitable. Neither the UK Supreme Court’s decision nor the parallel US rulings provide direct guidance on the requisite threshold quality or quantity of human participation in such collaborative inventions to satisfy legal inventorship requirements. Thus, for instance, an open issue remains whether token perfunctory human approval of an AI-devised invention would suffice, or if substantive intellectual contribution is needed. And for primarily AI-driven inventions, are minor tweaks by a human collaborator enough? Or must the human contributor objectively supply the novel concept?


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The FTC’s Misguided Comments on Copyright Office Generative AI Questions

Guest Post from Professors Pamela Samuelson, Christopher Jon Sprigman, and Matthew Sag

The U.S. Copyright Office published a Notice of inquiry (“NOI”) and request for comments, Artificial Intelligence and Copyright, Docket No. 2023-6 on August 30, 2023, calling for comments from interested parties addressing dozens of questions. The Office’s questions focused on a wide range of issues including the copyright implications of the use of in-copyright works as training data, on the feasibility of licensing such uses, the impact on competition and innovation in AI industries depending on how courts resolved training data copyright issues, the copyrightability of AI outputs, whether new laws regulating generative AI were needed, whether AI developers should be obliged to disclose the sources of their training data, and whether AI outputs should be labeled as such.

The Office received roughly 10,000 comments on October 30, 2023. We, who have been writing and teaching about copyright law and how it has responded to challenges posed by new technologies for decades, were among those who submitted comments, see https://www.regulations.gov/comment/COLC-2023-0006-8854.

After reading and reflecting on comments filed by Federal Trade Commission (FTC), see https://www.regulations.gov/comment/COLC-2023-0006-8630, we decided to file a reply to the FTC’s comments, see https://www.regulations.gov/comment/COLC-2023-0006-10299. Below is the substance of our reply comments explaining why we believe the agency’s comments were ill-informed, misguided, and highly ambiguous.

Substance of the Samuelson, Sprigman, Sag Reply Comments:

We should begin by noting our appreciation for the FTC’s work enforcing both federal antitrust and consumer protection laws and helping to lead policy development in both areas. In our view, the FTC plays a vital role in keeping markets open and honest, and we have long been admirers of the intelligence and energy that the agency brings to that task. More specifically, we recognize the usefulness of examining intellectual property issues through the lenses of competition and consumer protection.

However, in the case of its response to the Copyright Office’s NOI on Artificial Intelligence and Copyright, the FTC has submitted Comments that are unclear and thus open to a variety of interpretations—and possibly to misinterpretations as well. The FTC’s Comments also raise questions about the scope of agency’s authority under Section 5 of the Federal Trade Commission Act, 15 U.S.C. 45, to bring enforcement actions aimed at activities, including those involving the training and use of AI, that might involve copyright infringement—although we would note that the copyright consequences of AI are, as yet, undefined.

We have three principal criticisms of the FTC’s comments:

First, the FTC’s submission is not a model of clarity: indeed, later in these Comments we will focus on a particular sentence from the FTC Comments that is worrisome both for its opacity and for the ways in which it may be interpreted (or misinterpreted) to chill innovation and restrict competition in the markets for AI technologies.

Second, the FTC Comments do not appear to be based on a balanced evidentiary record; rather, the Comments appear largely to reflect views articulated by participants in an Oct. 4, 2023, FTC Roundtable event[1] that featured testimony largely from artists and writers critical of generative AI: 11 of the 12 witnesses appeared to be or to represent individual creators, and one represented open-source software developers who objected to AI training on their code. Not a single witness provided perspectives from technologists who have developed and work with AI agents. Perhaps not surprisingly given the imbalance in the record, the FTC comments do not seem to appreciate the variety of use cases for AI technologies or the broader implications of those technologies for competition policy.

Third, and finally, certain of the FTC’s Comments could, if misunderstood, upset the careful balance that the copyright laws create between private rights to control copyrighted works and public access and use of those works. Upsetting that balance could chill development not only of useful AI technologies, but of a range of new technologies and services that augment consumers’ opportunities to access and use copyrighted works and increase the value of those works to consumers.

In the remainder of these Comments we will focus on a specific sentence from the FTC Comments that illustrates all of these problems.


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DC District Court: AI-Created Works Ineligible for Copyright 

By Dennis Crouch

Thaler v. Perlmutter, No. 22-1564 (D.D.C. Aug. 18, 2023). 

A federal court has dealt a blow to the prospect of granting copyright protections to works created entirely by artificial intelligence systems. In their recent decision, Judge Howell ruled that because AI systems lack human authorship, their output is ineligible for copyright.


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