Whose Data Is It Anyway? AI and the Battle for Data Ownership

In this episode, the DAS crew dove into the tricky topic of data ownership as it relates to AI systems. Key Points Discussed: Training dilemmas - It's unclear if platforms like ChatGPT train on user-submitted data. This raises questions around potential privacy and IP issues. Output ownership - With no copyright on AI outputs currently, it's hard to claim exclusive ownership of AI-generated work. Creators have limited protections. Data quality - Garbage in, garbage out still applies. Quality data leads to better AI results. Firms with good data have an advantage. Modifying outputs - Simple rewording may not sufficiently establish ownership of AI outputs. The legal line remains blurry. Consulting experts - Given the open questions, consulting IP attorneys before commercial use is advisable where possible. In summary, data quality remains crucial for AI, but uncertainties around ownership of inputs and outputs persist. As the DAS crew emphasized, legal consultation can help navigate the issues for now.

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