FEATURING...
p26 ENGLAND Shilpen Savani gunnercooke llp
p30 US - NEVADA Ismail Amin TALG
p32 ENGLAND
Rana Chatterjee Colman Coyle
p34 AUSTRALIA James Conomos JCL Law Partners
AI and accountability
p36 US - CONNECTICUT, OKLAHOMA MASSACHUSETTS, TEXAS Thomas H. Curran Thomas H. Curran Associates, LLC
p38 ENGLAND
Lewis Mullholland WP Thompson
p40 MEXICO
Martha Villalobos & Hector Noriega Wong Fleming
As artificial intelligence transforms core business functions, the legal terrain around accountability is rapidly evolving. This chapter explores how businesses can adopt AI responsibly, manage legal risks, and stay ahead of regulatory scrutiny. James Conomos underscores that while AI-specific legislation is still emerging in Australia, businesses remain bound by laws governing privacy, discrimination,
and consumer rights. He also flags the rise of liability concerns, urging firms to review contracts and insurance coverage to account for AI-driven errors and data use risks. Martha Villalobos and Héctor Noriega in Mexico emphasise the need to interpret existing constitutional and human rights frameworks through an AI lens. They warn that AI adoption, though promising, can amplify social inequalities if not carefully monitored.
Lewis Mullholland focuses on the intellectual property complexities posed by generative AI in England. He stresses the importance of governance policies, careful data auditing, and robust contractual frameworks to define rights, manage liabilities, and ensure AI use aligns with UK and European IP laws. AI accountability hinges not only on technical implementation but also on legal foresight and ethical diligence, especially as regulatory scrutiny intensifies worldwide.
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