Artificial Intelligence
Practice
AI as Prior Art: New Hurdles and Horizons in Patent Disputes
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China Issues Proposed Regulations on Generative AI
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Regulators Zero In on AI
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As companies develop, acquire and invest in AI technologies, they face unexplored business issues and legal questions. Seasoned in advising leading-edge technology companies, Pillsbury’s AI team helps startups, global corporations and government agencies navigate the regulatory and legal landscape being disrupted by (and forming in response to) generative AI, large language models (LLMs) and other developments in artificial intelligence.
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Algorithm
Bias
Emerging Growth
& VC
Data Security
& Privacy
Intellectual Property
Technology Transactions
Algorithm Bias
Algorithm bias refers to systematic errors in an AI system's output caused by flawed assumptions, data or algorithms. These biases can lead to unfair, discriminatory or prejudiced outcomes, often reinforcing existing social inequalities and affecting underrepresented or marginalized groups. Algorithm bias raises ethical concerns and poses challenges for developing fair and unbiased AI systems.
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Compliance & Policy
While a regulatory framework governing artificial intelligence remains in the early stages, familiarity and compliance with these developments are essential to a company's abilities to balance innovation with legal and ethical concerns. A variety of industry-specific guidelines are already emerging, necessitating maintainence of proper documentation, regular audits and thoughtful planning regarding how AI technologies are developed and used. Careful consideration of these issues—whether pertaining to data privacy, security, transparency or accountability—are paramount.
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Data Security & Privacy
AI systems must proactively address data privacy and cybersecurity challenges to foster responsible development and deployment. But cross-border data transfers and jurisdictional differences in privacy regulations add complexity to AI-driven data processing. Companies must navigate the varying legal requirements across regions, such as GDPR in the EU and CCPA in California, while establishing comprehensive data governance policies.
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Emerging Growth & VC
The startup ecosystem has been the driving force behind the rapid acceleration of Artificial Intelligence. AI-focused startups need advice on structuring, financing, fundraising and the multitude of other legal questions—including labor & employment, executive compensation, tax, outsourcing and insurance issues—that all new companies face. They and their investors must also analyze and navigate exit strategies, whether through IPO or strategic acquisitions.
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Intellectual Property
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Tech Transactions
Tech transactions and sourcing considerations are essential to businesses offering and utilizing artificial intelligence. Contracts, licensing agreements and commercial partnerships must be carefully negotiated to protect IP, address data privacy concerns and mitigate potential liability exposure. Ensuring compliance with regulatory frameworks and establishing clear terms for the use, sharing and storage of data are crucial to enabling successful collaborations while adhering to legal and ethical standards.
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Featured Insights
Key Services
Artificial intelligence is powering transformative technologies, and companies around the world are seizing on AI as a fundamental game-changer for their business and industry.
Michael Horikawa
James W. McPhillips
Team Leaders
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Artificial Intelligence technologies and the organizations behind them face a host of Intellectual Property issues, even as the landscape continues to transform. The laws governing IP ownership and protection are evolving quickly, with AI-generated works forcing a reassessment of traditional concepts of authorship. The complex nature of AI algorithms makes the need for trade secret protections—and the need for robust confidentiality measures to protect valuable AI-related know-how—more important than ever.
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AI Warning: ChatGPT Blocked
for Data Laws Breach
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Earning Trust: The Need For
"Explainability" in AI Systems
Shining Light on the Algorithm
in your Company's Black Box
Compliance
& Policy
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Pillsbury Winthrop Shaw Pittman LLP is an international law firm with a particular focus on the technology & life sciences, energy, financial, and real estate & construction sectors. Recognized as one of the most innovative law firms by Financial Times and one of the top firms for client service by BTI Consulting, Pillsbury and its lawyers are highly regarded for their forward-thinking approach, their enthusiasm for collaborating across disciplines and their authoritative commercial awareness.
This collective scientific and technical knowledge is critical to speaking the same language as the inventors, innovators, early adopters and investors we represent. Enhancing these strengths, Pillsbury deploys an AI-enabled analytics platform that provides flexible machine-learning capabilities and adaptive text-mining and visualization tools to streamline labor-intensive tasks.
We work across all industry verticals, from technology and media, biotech and health care, and financial services, to energy, real estate and construction, and transportation. Members on our team have advanced degrees in computer science and engineering and a deep understanding of the broader context of AI as well as more nuanced subsets of machine learning, deep learning, emotional intelligence systems, natural language processing and neural networks.
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Partner, Los Angeles
T: +1.213.488.7121
Partner, Washington, DC
T: +1.202.663.8385
James W. McPhillips
Partner, Washington, DC
T: +1.202.663.8385