Yesterday, the National Telecommunications and Information Administration (NTIA) issued a Request for Comment that seeks input on a “National Spectrum Strategy,” which would include a plan to study federal spectrum usage to identify spectrum that could be reallocated or repurposed to commercial or shared federal/commercial use. This National Spectrum Strategy also would include a process for identifying the spectrum bands best suited for repurposing (a “Spectrum Pipeline”). NTIA seeks input in creating a Spectrum Pipeline for the next decade, with the goal of identifying at least 1,500 megahertz of spectrum to study for potential repurposing to meet the future requirements of both commercial and federal users.
Artificial Intelligence (AI)
Roundup of January 2023 Artificial Intelligence Developments
U.S. federal agencies and working groups have promulgated a number of issuances in January 2023 related to the development and use of artificial intelligence (“AI”) systems. These updates join proposals in Congress to pass legislation related to AI. Specifically, in January 2023, the Department of Defense (“DoD”) updated Department of Defense Directive 3000.09 and the National Artificial Intelligence Research Resource (“NAIRR”) Task Force Final Report on AI; the National Institute of Standards and Technology (“NIST”) released its AI Risk Management Framework, each discussed below.…
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EU AI Policy and Regulation: What to look out for in 2023
2023 is set to be an important year for developments in AI regulation and policy in the EU. At the end of last year, on December 6, 2022, the Council of the EU (the “Council”) adopted its general approach and compromise text on the proposed Regulation Laying Down Harmonized Rules on Artificial Intelligence (the “AI Act”), bringing the AI Act one step closer to being adopted. The European Parliament is currently developing its own position on the AI Act which is expected to be finalized by March 2023. Following this, the Council, Parliament and European Commission (“Commission”) will enter into trilogue discussions to finalize the Act. Once adopted, it will be directly applicable across all EU Member States and its obligations are likely to apply three years after the AI Act’s entry into force (according to the Council’s compromise text). …
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NIST Releases New Artificial Intelligence Risk Management Framework
On January 26, 2023, the U.S. Department of Commerce’s National Institute of Standards and Technology (NIST) released its Artificial Intelligence Risk Management Framework (the “Framework”) guidance document, alongside a companion AI RMF Playbook that suggests ways to navigate and use the Framework. The goal of the Framework is to provide a resource to organizations “designing, developing, deploying, or using AI systems to help manage the many risks of AI and promote trustworthy and responsible development and use of AI systems.” NIST aims for the Framework to offer a practical resource that can be adapted as the AI technologies continue to develop. The release of the Framework follows the release of previous drafts and opportunities for public comment. An initial draft of the Framework was released in March 2022 and a second draft was released in August 2022, prior to the official launch of version 1.0 of the Framework (NIST AI 100-1).…
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U.S. AI, IoT, CAV, and Privacy Legislative Update – Fourth Quarter 2022
This quarterly update summarizes key legislative and regulatory developments in the fourth quarter of 2022 related to Artificial Intelligence (“AI”), the Internet of Things (“IoT”), connected and autonomous vehicles (“CAVs”), and data privacy and cybersecurity.…
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Responsibly Audited AI and the ESG/AI Nexus
By Mellissa Campbell Duru & Molly Prindle on
Companies have increasingly leveraged artificial intelligence (“AI”) to facilitate decisions in the extension of credit and financial lending as well as hiring decisions. AI tools have the potential to produce efficiencies in processes but have also recently faced scrutiny for AI-related environmental, social, and governance (“ESG”) risks. Such risks include AI ethical issues related to the use of facial recognition technology or embedded biases in AI software that may potentially perpetuate racial inequality or have a discriminatory impact on minority communities. ESG and diversity, equity, and inclusion (“DEI”) advocates, along with federal and state regulators, have begun to examine the potential benefit and harm of AI tools vis-à-vis such communities. …
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Federal Circuit Rules That Under The Patent Act An Inventor Must Be Human: So What Can Be Done To Patent AI Inventions?
By Gregory Discher on
Posted in Artificial Intelligence (AI), Patents
In its August 5, 2022 affirmance of the district court’s grant of summary judgment, the Federal Circuit in Thaler v. Vidal ruled that the Patent Act unambiguously and directly answers the question of whether an AI software system can be listed as the inventor on a patent application. Since an inventor must be a human being, AI cannot be.
Judge Stark’s first authored precedential opinion since confirmation to the Federal Circuit aligns the U.S. position on whether AI can be listed as an inventor on a patent application with that of other major jurisdictions. Left for another day are questions such as the rights, if any, of AI systems, and whether AI systems can contribute to the conception of an invention.
PTO and Litigation Background of the DABUS Patent Applications
In July 2019, two patent applications were filed in the United States Patent and Trademark Office (PTO) that identified an AI system called DABUS (Device for the Autonomous Bootstrapping of Unified Sentience) as the sole inventor and Stephen L. Thaler as the Applicant and Assignee. DABUS, which was characterized as “a particular type of connectionist artificial intelligence” known as a “Creativity Machine” during prosecution and as “a collection of source code or programming and a software program” before the U.S. District Court for the Eastern District of Virginia, allegedly generated the subject matter of the two patent applications.
The filed patent applications specifically stated that the inventions were conceived by DABUS, and that DABUS should accordingly be named as the inventor. The PTO subsequently issued Notices stating that the applications did not identify each inventor by his or her legal name. In response to filed Petitions requesting that the PTO vacate the issued Notices, the PTO issued Petition Decisions refusing to vacate, explaining that a machine does not qualify as an inventor under the patent laws, and providing additional time to identify inventors by their legal name to avoid abandonment of the applications.
Thaler then sought judicial review under the Administrative Procedure Act in the Eastern District of Virginia, requesting an order compelling the PTO to reinstate the DABUS patent applications, and a declaration that a patent application for an AI-generated invention should not be rejected on the basis that no natural person is identified as an inventor. After briefing and oral argument, the district court issued an order denying Thaler’s requested relief and granting the PTO’s motion for summary judgment, recognizing the Federal Circuit’s consistent holdings under current patent law requiring inventors to be natural persons.…
Artificial Intelligence and Algorithms in the Next Congress
Policymakers and candidates of both parties have increased their focus on how technology is changing society, including by blaming platforms and other participants in the tech ecosystem for a range of social ills even while recognizing them as significant contributors to U.S. economic success globally. Republicans and Democrats have significant interparty—and intraparty—differences in the form of their grievances and on many of the remedial measures to combat the purported harms. Nonetheless, the growing inclination to do more on tech has apparently driven one key congressional committee to have compromised on previously intractable issues involving data privacy. Rules around the use of algorithms and artificial intelligence, which have attracted numerous legislative proposals in recent years, may be the next area of convergence. …
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CISA and NIST Urge Companies to Prepare to Transition to a Post-Quantum Cryptographic Standard
By Micaela McMurrough & Matthew Harden on
On July 5, 2022, the Cybersecurity and Infrastructure Security Agency (“CISA”) and the National Institute of Standards and Technology (“NIST”) strongly recommended that organizations begin preparing to transition to a post-quantum cryptographic standard. “The term ‘post-quantum cryptography’ is often referred to as ‘quantum-resistant cryptography’ and includes, ‘cryptographic algorithms or methods that are assessed not to be specifically vulnerable to attack by” a CRQC (cryptanalytically relevant quantum computer) or a classical computer. NIST “has announced that a new post-quantum cryptographic standard will replace current public-key cryptography, which is vulnerable to quantum-based attacks.” NIST does not intend to publish the new post-quantum cryptographic standard for commercial products until 2024 but urges companies to begin preparing now by following the Post-Quantum Cryptography Roadmap. …
U.S. AI, IoT, CAV, and Data Privacy Legislative and Regulatory Update – Second Quarter 2022
This quarterly update summarizes key federal legislative and regulatory developments in the second quarter of 2022 related to artificial intelligence (“AI”), the Internet of Things, connected and automated vehicles (“CAVs”), and data privacy, and highlights a few particularly notable developments in U.S. state legislatures. To summarize, in the second quarter of 2022, Congress and the Administration focused on addressing algorithmic bias and other AI-related risks and introduced a bipartisan federal privacy bill.…