Large language models (LLMs) such as ChatGPT are transformative technologies capable of producing human-like text. However, their effectiveness relies on vast datasets sourced from the internet, which raises serious governance challenges. Recent statements from the Office of the Australian Information Commissioner highlight concerns over data scraping from social media, often conducted without consent. This issue raises ethical questions about data ownership, consent, and the potential for 'data dysphoria'—a term describing discomfort regarding data usage practices in AI governance. Policymakers and content creators demand clearer regulations to address these significant challenges in the AI landscape.
The governance challenges posed by LLMs are complicated. First, there is the issue of where data comes from. The data used to train these models often come from a variety of sources.
On August 24, 2023, the Office of the Australian Information Commissioner (OAIC) and 11 international data protection counterparts released a joint statement warning about the increasing incidents of data scraping.
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