The Need for Transparency and Governance in AI 

Ensuring transparency in training data is crucial for addressing biases and legal compliance, requiring standardized documentation similar to financial reporting. Stakeholders must update intellectual property laws, enforce data protection, and ensure broad data access. Empowering data sharing involves individuals in the process, creating a transparent, equitable, and effective AI ecosystem.