As we embrace the Wikimedia Movement Strategy and work towards actualising our goals of Knowledge as a Service and Knowledge Equity through third-party knowledge panels and large language models (LLMs), ensuring the integrity and authenticity of information is now more crucial than ever.
The theme of this talk focuses on the essential role of Wiki editors and volunteers in maintaining unbiased, representative, and accurate data. It also addresses AI-generated content's challenges, such as biases and hallucinations. It explores strategies for preserving the quality of knowledge dissemination and addressing these challenges.