CAYMAN ISLANDS Trends and Developments Contributed by: Jason Ta, Travers Thorp Alberga
developer, deployer or controlling entity? How do different jurisdictions interpret AI’s role in legal and business transactions? • User authentication and verification – how can individuals and businesses differenti - ate between human users and AI entities in decentralised networks? What identity mechanisms (eg, blockchain-based identity, zero-knowledge proofs) can prevent fraud and abuse? • Regulatory compliance – if AI manages digital assets or executes financial transactions, should it be regulated as a financial entity? Who is responsible for ensuring compliance with AML, securities laws, and financial regu - lations? Will emerging frameworks require “Know Your AI” (KYA) to ensure transparency in AI-driven transactions? • Intellectual property (IP) and content owner - ship – who holds copyright ownership over AI-generated works? Can AI be considered an inventor or author under current IP laws? How can platforms prevent AI-driven content manipulation and misinformation? • Taxation and asset ownership – if AI cannot legally own assets, how should tax liabili - ties be assigned – to its deployer, controller or a legal entity? How should AI-generated revenue (eg, automated DeFi earnings) be taxed – as corporate income, capital gains or royalties? How do cross-border AI operations impact tax residency and compliance? • Data privacy and security – how can AI-driven systems comply with GDPR, CCPA and data privacy laws? What safeguards are needed to prevent algorithmic bias, AI-generated fraud and cybersecurity threats? A detailed analysis of the questions raised are beyond the scope of this paper. In essence, however, the better view is that AI by itself lacks legal personhood, meaning it cannot indepen -
dently enter into agreements or hold legal own - ership unless it is deemed to be an agent or extension of another legal person as principal. It is therefore advisable to incorporate a legal entity that can act as the principal for the AI (an “AI-Driven Entity” ). An AI-Driven Entity can then form the basis to address some of the other legal and regulatory issues. Using a Cayman Islands Foundation Company as an AI-Driven Entity A particularly effective legal structure for an AI- Driven Entity is the Cayman Islands foundation company. Unlike traditional companies, such foundation companies do not require sharehold - ers, allowing them to function with a governance model that can be tailored to an AI’s decision- making models. Key advantages of using such foundation companies include the following. • Legal recognition – foundation companies provide a defined legal entity that can interact with traditional financial institutions, sign con - tracts and meet compliance obligations. • Decentralised governance – the ability to structure the foundation company without shareholders allows for governance mecha - nisms that can adopt smart contract-based decision-making or AI-driven decision-mak - ing. • Regulatory compliance – foundation compa - nies can be designed to comply with regula - tions, including AML and CFT requirements, making them suitable for global transactions. • Tax mitigation and asset protection – a foun - dation company can be tax resident in the Cayman Islands, hold and manage assets and ensure legal clarity in asset ownership. Governance of an AI-Driven Entity Under Cayman Islands law, a company can have domestic or foreign corporate entities act -
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