Berkley Technology Law Journal

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The Road to 2026: Anticipating Intellectual Property, AI, and Data Modifications in the Upcoming USMCA Joint Review

Berkley Technology Law Journal

By Brayan Ortiz Ramos, J.D. Candidate, 2027 In 2026, the United States-Mexico-Canada Agreement (USMCA), which succeeded the North American Free Trade Agreement (NAFTA) in 2020, will undergo a joint review to assess its effectiveness, consider a 16-year extension, and evaluate potential adjustments to better align with current economic and technological trends.

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The Implementation of Algorithmic Pricing and Its Impact on Businesses, Consumers, and Policymakers: Algorithmic pricing raises concerns about collusion and antitrust enforcement

Berkley Technology Law Journal

By Sauntharya Manikandan, J.D. Candidate, 2026 Introduction to Algorithmic Pricing If you are a consumer in todays world, you have likely encountered AI algorithmic pricing. Think about the times when your Uber ride cost more due to surge pricing or when Southwest Airlines notified you about discounted tickets for a specific week or month. But how exactly does algorithmic pricing work?

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Opt-Out Approaches to AI Training: A False Compromise

Berkley Technology Law Journal

By Barbara Rasin, J.D. Candidate, 2027 The recent boom in generative AI technology has been hampered by accusations that AI training sets violate intellectual property laws. Various rightsholders, including the New York Times and Universal Music Group , have sued the companies behind these algorithms for training on their protected IP without a license.

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Protecting Privacy of a New Corporate Asset: User DNA

Berkley Technology Law Journal

By Grace Murphy, J.D. Candidate, 2026 Genome sequencing, the process of determining the DNA sequence of an organism, was first introduced in the 1970s. By 2003, the Human Genome Project had generated the first human genome sequence. Since then, genome sequencing has become more accessible and affordable. This has allowed direct-to-consumer DNA testing to become a reality through companies like 23andMe.

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Taylor Swift’s Copyright Battle and Strategic Re-Recording Songs

Berkley Technology Law Journal

By Andreia M. Tamashiro,* LL.M. 2025 *The author thanks Mr. Gary Greenstein, Partner at Wilson Sonsini, for his guidance on this post. When Taylor Swift announced she was re-recording her first six albums, she wasnt just revisiting past hitsshe was reclaiming ownership of her music. Her battle over album masters highlights a huge issue in the music industry: who truly owns the songs artists create?

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AI Gets Personal: CCPA vs. GDPR on Automated Decision-Making

Berkley Technology Law Journal

By Ilke Okan LL.M., 2025 Automated decision-making technologies ( ADMTs ) are systems that analyze personal data to predict or decide outcomes about individuals, often without human input. These tools can determine whether someone is approved for a loan, lands a job interview, or is flagged for extra screeningall with limited transparency. As artificial intelligence (AI) and ADMTs become increasingly embedded in daily lifefrom hiring and credit scoring to healthcare and educationregulators are u

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Towards Fair Employment – California’s Take on Regulating AI in Hiring

Berkley Technology Law Journal

By Sauntharya Manikandan, J.D. Candidate, 2026 Overview On May 17, 2024, the California Civil Rights Department (CRD) took a step towards addressing the intersection of technology and employment with its proposed modifications to employment regulations concerning automated decision systems. This initiative is indicative of lawmakers racing to catch up with the far-reaching implications of AI in our lives.