Copyright Eligibility

Copyright eligibility defines the legal criteria a work must satisfy to gain protection under copyright law. Rooted in international agreements like the Berne Convention, it traditionally requires a work to be an original creation fixed in a tangible medium of expression. A cornerstone of eligibility is 'human authorship,' a principle now challenged by AI-generated content. For instance, the U.S. Copyright Office has clarified that works generated entirely by AI without sufficient human creative input do not qualify for copyright. Within an enterprise risk management framework, such as ISO 31000, ensuring that key assets like software, databases, and design documents meet eligibility criteria is a critical control. Failure to do so constitutes a major legal and operational risk, potentially rendering valuable intellectual property unenforceable and diminishing corporate asset valuation.

Practical application involves three key steps: 1. IP Audit and Assessment: Systematically inventory creative works (e.g., code, designs) and assess them against legal criteria for originality and human authorship, maintaining a central IP registry. 2. AIGC Governance Policy: Establish clear guidelines for employees using AI tools, mandating documentation of prompts and substantial human modifications to prove creative input. This can reduce legal ambiguity by over 40%. 3. Contractual Safeguards: Incorporate explicit copyright assignment clauses in employment and contractor agreements, especially for works-made-for-hire. A global software firm, for example, integrated a 'human authorship' verification into its CI/CD pipeline, requiring developer certification for any modified AI-generated code, thereby strengthening its copyright claims and creating a robust audit trail.

Taiwan enterprises face three primary challenges: 1. Legal Ambiguity on AI Works: Taiwan's courts lack clear precedents on AI-generated content, creating business uncertainty. The solution is to adopt a 'Maximum Human Input' policy, requiring and documenting significant human modification of AI outputs. 2. Lack of IP Awareness Among Technical Staff: Engineers often neglect to document their creative process, weakening evidence of authorship. The solution is to integrate IP training into onboarding and embed documentation requirements into project management workflows (e.g., mandatory descriptive Git commits). 3. High Cost of Evidence Management: Maintaining detailed creative records is resource-intensive for SMEs. The solution is to leverage lightweight Digital Asset Management (DAM) or version control systems to cost-effectively store and manage evidence with automated processes.

Winners Consulting specializes in copyright eligibility for Taiwan enterprises, delivering compliant management systems within 90 days. Free consultation: https://winners.com.tw/contact