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The Critical Role of Data Governance in Responsible AI Implementation
Strong data governance is foundational for trustworthy AI, ensuring data quality, privacy and compliance within AI systems. Read on to learn more.
5 Essential Best Practices for LLM Governance: A Framework for Success
Key practices for organising, monitoring and securing large language model systems in enterprise settings.
The IP Dilemma in the Age of AI: Protecting Creators While Advancing Technology
In this blog, Ben Saunders explores the IP dilemma in the age of AI, focusing on the tension between content creators and AI companies over the use of intellectual property in training AI models. It discusses the challenges of balancing innovation with creators' rights, proposed solutions like digital watermarks and licensing, and the potential of data ownership and consent management as a path forward for fair compensation and ethical AI development.

