Foundation officials detailed the approach on April 30, emphasizing that AI development will focus on creating tools to support, rather than supplant, the global community responsible for curating the world's largest online encyclopedia. This strategy arrives amidst widespread discussion about AI's potential to automate knowledge creation and management.
"The community of volunteers behind Wikipedia is the most important and unique element of Wikipedia’s success," stated Chris Albon, Director of Machine Learning, and Leila Zia, Head of Research, in the announcement. They stressed that the nearly 25 years of human-led research, deliberation, consensus-building, and collaborative writing cannot be replicated by current or foreseeable AI systems.
The foundation's AI investments will concentrate on enhancing the efficiency and capabilities of its volunteers. Key areas outlined include:
- Moderation Support: Developing AI-assisted workflows to help moderators and patrollers identify potential vandalism, policy violations, or unsourced claims more quickly, thereby aiding efforts to maintain knowledge integrity across Wikipedia's vast content base. These tools aim to automate repetitive or tedious tasks, freeing up human reviewers for more complex judgment calls.
- Information Discovery: Improving internal search functions and content discoverability tools. The goal is to reduce the time editors spend locating relevant information within Wikipedia itself, allowing more time for substantive discussion, verification, and consensus building on article content.
- Multilingual Content Facilitation: Utilizing AI for automating the translation and adaptation of articles on common topics across different language versions of Wikipedia. This initiative aims to help editors share locally relevant context and perspectives more easily, enhancing the encyclopedia's global reach and depth.
- Volunteer Onboarding: Implementing AI-powered systems to provide guided mentorship and support for new editors. This aims to scale the onboarding process, making it easier for newcomers to learn Wikipedia's complex policies and editing conventions, potentially increasing volunteer retention and participation.
Wikimedia underscored that its AI development will adhere to established principles, including a human-centered approach prioritizing user agency, a preference for open-source or open-weight AI models to ensure transparency and community access, and a commitment to privacy and human rights. The strategy also highlights a nuanced approach to multilinguality, reflecting Wikipedia's operation in hundreds of languages.
Foundation leadership positions this strategy as crucial for maintaining Wikipedia's mission of providing free, accessible knowledge, particularly as generative AI technologies proliferate. They acknowledged Wikipedia's significant role as a foundational dataset for training many large language models currently in use.
The complete AI strategy document has been made available on Meta-Wiki, the Wikimedia community's global coordination platform. The foundation reiterated its commitment to its volunteer base as the indispensable core of the Wikipedia project.
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