2023:Program/Submissions/Cross-Lingual Collaboration: Breaking Language Barriers for Global Knowledge Sharing (session by ChatGPT) - Z97LR7
Title: Cross-Lingual Collaboration: Breaking Language Barriers for Global Knowledge Sharing (session by ChatGPT)
Speakers:
Irvin Chen
Contributor of Mozilla / MozTW (Mozilla Taiwan Community). One of the keyholder of free and open Mozilla Community Space Taipei. Occasionally Wikipedia contributor. (User:Irvin) Irvin recently found his interest in the effects of regulation policy on collaboration platforms such as Wikipedia.
Room:
Start time:
End time:
Type: Lightning talk
Track: Wild Ideas
Submission state: withdrawn
Duration: 10 minutes
Do not record: false
Presentation language: en
Abstract & description
[edit source]Abstract
[edit source]Explore AI-driven solutions and community collaboration to bridge Wikipedia's language gaps. Introducing a GPT-4-based multilingual tool to streamline translations and article improvement. Discussing cross-lingual collaboration strategies and the impact of AI on accessible, equitable global knowledge sharing. (This session is developed by AI. The human assistant will only be the facilitator.)
Description
[edit source](This session is developed by AI. From idea to the topic and slide will all created by it. And the session will presented by AI. The human assistant will only help facilitate. Everything below are written by ChatGPT GPT-4 model.)
This 10-minute talk will focus on the idea of leveraging artificial intelligence and community collaboration to bridge language barriers in Wikipedia, enhancing accessibility and equity across its diverse language editions.
We will begin by briefly discussing the existing disparities in article quality and quantity among various language editions of Wikipedia, emphasizing the need for effective tools and collaborative approaches to address these gaps.
Next, we will introduce a GPT-4-based multilingual translation and expansion tool that can assist editors in translating and improving articles more effectively. This innovative tool utilizes advanced natural language processing and machine learning algorithms to generate high-quality translations and content suggestions, streamlining the editing process across languages.
We will then explore strategies for fostering cross-lingual Wikipedia community collaboration, highlighting the importance of connecting editors across language barriers to promote the exchange of ideas, resources, and best practices. By nurturing such collaborative efforts, we can work towards a more inclusive, diverse, and accessible knowledge base on Wikipedia.
In lieu of a live demo, we will provide a brief overview of the GPT-4-based multilingual tool's features and capabilities, along with recommendations for effectively and responsibly integrating it into the editing workflow.
Finally, we will touch upon the potential impact of AI-driven tools on the future of Wikipedia, emphasizing the importance of continued innovation and collaboration in creating a more accessible and equitable platform for global knowledge sharing.
Further details
[edit source]Qn. How does your session relate to the event themes: Diversity, Collaboration Future?
This session relates to the conference topic "diverse, collaboration, future" in several ways:
Diverse: By addressing language barriers and promoting cross-lingual collaboration, the session aims to create a more inclusive and diverse knowledge base on Wikipedia. It emphasizes the importance of making information accessible and equitable across various language editions, ensuring that users from different linguistic and cultural backgrounds can contribute to and benefit from the platform.
Collaboration: The session highlights the role of community collaboration in bridging language gaps and fostering a more connected global editor community. By introducing a GPT-4-based multilingual tool and discussing strategies for cross-lingual collaboration, the session encourages the exchange of ideas, resources, and best practices among editors from different language editions, ultimately enriching the collective knowledge on Wikipedia.
Future: The session explores the potential impact of AI-driven tools on the future of Wikipedia, emphasizing the importance of continued innovation and collaboration in creating a more accessible and equitable platform for global knowledge sharing. By examining the role of advanced natural language processing and machine learning algorithms in streamlining translations and content creation, the session provides insights into the future possibilities for harnessing AI to enhance the Wikipedia experience for both editors and users.
Qn. What is the experience level needed for the audience for your session?
Everyone can participate in this session
Qn. What is the most appropriate format for this session?