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Testing AI systems is essential for ensuring their effectiveness, reliability and safety in real-world applications. Companies can employ various mechanisms to rigorously evaluate their AI technologies.

In “Is Your AI Testing Tool a Breach of Contract Claim Waiting to Happen?”, colleagues Mia Rendar and Sam Reno explore how, as AI products grow in both popularity and technical complexity, and as robust testing tools become indispensable, the very utilization of such tools may unwittingly expose companies to legal risks.

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The potential of artificial intelligence to transform industries is well-established, but what exactly does that mean for a specific industry?

For Pratt’s Energy Law ReportRobert A. JamesAimee P. GhoshCara M. MacDonald and the Hon. Jerry McNerney take readers on a deeper dive exploring the opportunities, risks and regulations in the specific applications of artificial intelligence to renewable energy and to the electric power ecosystem into which renewables fit.

Read “Artificial Intelligence in Renewable Energy” now.

 

 

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Reflecting the growing concern with cybersecurity threats associated with Internet of Things (IoT) products, the Federal Communications Commission (FCC) adopted rules at its March 2024 meeting to implement a new Voluntary Cybersecurity Labeling Program. The new label— “U.S. Cyber Trust Mark”—will be affixed on wireless consumer IoT products that go through the voluntary review program to ensure that the products comply with baseline cybersecurity criteria established in the September 2022 NIST Report 8425.

In “FCC Announces Consumer IoT Cybersecurity Labeling Program,” Brian E. FinchGlenn S. Richards and Lee G. Petro take a closer look at the new program.

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On October 20, at 9:15 a.m., colleague and frequent contributor Sam Eichner will present on “Copyright Implications of Generative AI” during the Copyright and Trademark track at the 2023 AIPLA Annual Meeting.

The event will host over 1,000 IP practitioners and leaders and cover a wide range of IP-related topics, including the ethical implications of AI in research and development, trademarks and the First Amendment, Standard Essential Patents licensing, the PTAB, Section 101, and transformative fair use.

For more information, please see the event page.

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Alicia McKnight and Brian Finch urge energy industry players to evaluate cybersecurity risks posed by increasingly interconnected and internet-enabled power grids in an article which was published in the latest edition of Pratt’s Privacy & Cybersecurity Law Report.

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NewsofNoteMain-300x250In this week’s News of Note, ransomware attacks break records and wipe data for a majority of a cloud provider’s customers, while one RaaS case delivers useful details about cybercriminal techniques and tactics. Also, the development of algorithms to protect against quantum computers continues, facial recognition software nabs an elderly criminal, and more.

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Space-tech2-597931174-300x188Private investors are pouring billions into space-based endeavors. While satellite technology is a common use of these dollars, money is also flowing to projects like the (highly publicized) building of reusable rockets by SpaceX and others, cleaning up “space trash,” mining on the moon and even tackling climate change and health. The renewed interest comes on the heels of more affordable building materials and the arrival of modular components and 3D printing for such projects. The Brookings Institute makes the case that this latest round of space exploration is fueling the fourth industrial revolution.

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On June 13, 2023, the American Society of Composers, Authors and Publishers (ASCAP) announced a series of initiatives to guide and protect creators as artificial intelligence (AI) continues to develop and impact the music industry. ASCAP has a strong history of supporting artists, technological innovation and music royalties. Following in suit, ASCAP’s AI initiatives consist of a series of events and principles that seek to promote AI education, innovation and implementation in the music industry, and ensure that artists are justly compensated. The initiatives include the 2023 ASCAP Lab/NYC Media Lab Music and AI Challenge, the ASCAP Experience, the ASCAP AI Symposium, and ASCAPs AI Principles and Advocacy.

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GettyImages-1204240415-300x216New and emerging technologies have always carried a host of potential risks to accompany their oft-blinding potential. Just as dependably, those risks have often been ignored, glossed over or just missed as public enthusiasm waxes and companies race to bring a product to market first and most effectively. Automobiles promised to get people (and products) from one place to another at life-changing speeds, but also posed a danger to life and limb while imposing a new burden on existing infrastructure. Even as technology leaps have transitioned from appliances and aircraft to computers, connectivity and large language models (LLMs), new and untested technologies continue to outpace the government and the public’s ability to moderate them. But while one can debate what constitutes an acceptable gap between the practical and ideal when it comes to regulating, mandating and evaluating the pros and cons of new technology, societies tend to generate their own methods of informing the public and attempting to rein in the more harmful aspects of the latest thing.

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As the emergence of generative AI brings new market opportunities to China, leading China-based tech giants have released or plan to release their own self-developed generative AI services. On April 11, 2023, China’s main cybersecurity and data privacy regulator, Cyberspace Administration of China (CAC) issued its Administrative Measures on Generative Artificial Intelligence Service draft for public comments. (The public comment period will end on May 10, 2023.)

In “China Issues Proposed Regulations on Generative AI,” colleagues Jenny (Jia) ShengChunbin Xu and Wenjun Cai break down the proposed rules, which apply to all generative AI services open to users in mainland China and are focused on cybersecurity and data privacy risks.