AI Law
We represent clients seeking accountability for AI systems that inflict financial loss, reputational harm, or personal injury.
37
AlphaGo’s 2016 Move 37 showcased AI’s potential, like atom splitting.
1
Assuming AI is in its Day 1 amoeba phase, we must be prepared for when it becomes a Day 2 behemoth.
1-7
In 1-7 years, AI may act independently, beyond human control, raising critical issues of aligning algorithms with human values.
12M
By 2030, AI-driven automation could displace approximately 12 million U.S. workers.
4
Kweilin Ellingrud et al., “Generative
AI and the Future of Work in America,”
McKinsey Global Institute (July 26, 2023).
AI and the Future of Work in America,”
McKinsey Global Institute (July 26, 2023).
Algorithms used in financial services that mislead or manipulate users into fraudulent transactions could result in claims for financial loss.
AlphaGo’s 2016 victory with Move 37 showcased Al’s unprecedented capabilities. After 2,500 years of human dominance in Go—a strategy board game originating in China around 500 BCE, and much more complex than chess—a silicon-based system quickly outperformed organic intelligence in a game that had challenged human ability for millennia.
Assuming Al is now in its ‘Day 1’ amoeba phase, we must consider what will happen as it rapidly evolves into a technological juggernaut, possibly within the next 1-7 years. One that has agency-inorganically capable of independent decision-making and reshaping human life, from governance to economics, in domains once solely controlled by humans. Technological singularity may be closer than we think.
Overview
We help clients navigate the evolving risks and challenges posed by rapidly advancing AI to help protect their rights and interests.
Corporations may be held responsible for the actions of their algorithms.
Autonomous AI Risks
As AI rapidly advances, its legal, ethical, and societal implications grow exponentially. Our AI law practice guides clients through the evolving risks posed by these transformative technologies, advocating for ethical and responsible use within legal boundaries. Central to our approach is addressing the ‘alignment problem’—the risk that AI could act counter to human values, as highlighted by Nick Bostrom’s ‘paperclip’ scenario.
AI pioneer and Nobel Prize winner in physics Geoffrey Hinton has also warned of the existential threat AI may pose if it gains control, raising concerns about humanity’s future in the face of autonomous superintelligence that vastly surpasses the collective intelligence of humankind.
Clients may seek compensation for harm caused by AI-driven vehicles, drones, or machinery that malfunctions, leading to personal injury or property damage.
Your Rights
- Class Actions: Class actions can address widespread AI-driven data breaches, allowing victims to collectively seek compensation for privacy violations, identity theft, and financial loss caused by poor security practices, faulty algorithms, or unlawful AI systems.
- Data Privacy Violations: AI systems mishandling personal data may lead to privacy claims under laws like GDPR and CCPA, helping protect individuals from unauthorized data use.
- Intellectual Property Violations: AI systems that infringe upon patented technologies, copyrights, or trade secrets may result in intellectual property claims.
- Emotional Distress: Victims may seek compensation for significant emotional distress caused by biased or harmful AI affecting reputation or livelihood.
- AI Fraud and Misuse: Compensation may be sought for financial losses resulting from fraudulent use of AI in financial services or cryptocurrency schemes.
Legal claims may involve misuse of AI in surveillance, defense, or law enforcement that results in unlawful harm, privacy violations, or wrongful death.
Lawyers' Role
Our team helps address risks posed by AI:
- AI Bias and Discrimination Litigation: We represent victims of discriminatory AI algorithms, helping them seek compensation for unfair treatment in employment, financial services, and other sectors.
- Data Privacy and AI: We litigate cases involving AI-driven breaches of data privacy, unauthorized data use, and violations of global privacy standards like GDPR and CCPA.
- AI Intellectual Property Disputes: We represent clients in intellectual property disputes involving AI-generated content, AI-driven research, and IP violations.
- AI Regulatory Compliance: Our advisory services help clients navigate evolving AI regulations and ethical guidelines to help ensure compliance and mitigate risks.
How We Can Help
Class Action Coordination
Coordinate collective legal actions against companies deploying AI systems that cause widespread harm, from algorithmic financial market manipulation to data breaches.
AI Discrimination Claims
Represent clients in claims related to AI-based discrimination in hiring, lending, and other critical areas, seeking compensation for financial and emotional distress.
Intellectual Property Protection
Assist businesses in protecting their intellectual property from AI-driven infringements and unauthorized use of proprietary algorithms and systems.
Privacy Rights Enforcement
Litigate claims involving AI misuse of personal data, focusing on compliance with privacy regulations and achieving remedies for affected individuals.
Algorithmic Accountability
Demand transparency and accountability in algorithmic decision-making processes, particularly in industries like healthcare, finance, and criminal justice.
AI Incident Response
We provide counsel to businesses and individuals impacted by data breaches, unauthorized use of AI systems, and AI-driven security failures, including in healthcare, finance, and infrastructure, helping clients mitigate damage, recover losses, and pursue compensation for damages caused by AI system failures.
AI-Driven Failures
We help clients address disputes related to AI technology, including misappropriation of AI-driven innovations and failures to follow ethical guidelines.
Regulatory Compliance
Advise clients on compliance with AI regulations and ethical standards to prevent legal issues arising from AI implementations.
Biometric Data Protection
Represent clients in cases where AI improperly collects or commercializes biometric data, such as facial recognition, without proper consent or safeguards.
Algorithmic Transparency
Clients can pursue claims when denied the right to understand or challenge AI decisions, particularly in high-stakes areas like criminal justice and finance.
Emotional Harm
Claims can arise from AI-generated deepfakes, defamatory content, or fraudulent outputs—such as AI impersonation in financial scams or identity theft—that damage reputation, invade privacy, and cause severe emotional distress, affecting both personal and professional lives.
AI-Powered Fraud
Claims may arise when AI systems are used in schemes that result in financial loss, fraudulent investment transactions, unauthorized data breaches, or algorithmic manipulation of stock markets, severely impacting businesses and individuals.
Autonomous System Malfunctions
Clients can seek compensation for damages caused by AI-driven vehicles, drones, or machinery that malfunction, leading to personal injury or property damage.
AI Bias in Healthcare
Algorithms in healthcare that misdiagnose or provide biased treatment recommendations could result in significant claims for medical negligence or denial of care.
AI-Generated Content Theft
Disputes may arise when AI systems generate content that infringes on copyrights or trademarks, especially in creative industries like music and art.
AI-Enabled Defamation
Represent clients harmed by AI-generated content, such as automated reports, articles, or social media posts, that defame individuals or businesses. Seek damages for reputational harm and address gaps in accountability for AI systems that produce false, damaging information.