Session
Organizer 1: Raneem Zaitoun, Inskillz OU
Organizer 2: Yusuf Kerem Calikoglu
Speaker 1: Ayaz Karimov, Government, Eastern European Group
Speaker 2: Melissa El Feghali, Civil Society, Asia-Pacific Group
Speaker 3: Tayma Abdalhadi, Private Sector, Asia-Pacific Group
Roman Gojayev
Gultan Asgarli
Raneem Zaitoun, Private Sector, Eastern European Group
Classroom
Duration (minutes): 60
Format description: The classroom format is the optimal choice for our workshop as it facilitates an effective learning environment. With rows of chairs and tables, participants can easily focus their attention on the front of the room where presentations and activities will occur. For instance, during the session, participants will engage in the experience of an escape room game, where they will work together in teams to solve puzzles related to AI fairness and governance. The classroom setup naturally encourages collaboration and interaction among attendees, fostering a conducive atmosphere for group learning. Additionally, tables provide ample space for participants to engage in hands-on activities, such as project-based training exercises, further enhancing their learning experience. Overall, the classroom layout aligns perfectly with the interactive nature of our workshop, allowing participants to actively engage with the content and each other.
1. How can inclusive AI literacy education mitigate disparities and foster representation from under-resourced communities in the development of new AI tools, thereby enhancing the completeness of Internet Governance? 2. What policy frameworks and support mechanisms are needed to ensure the effective integration of innovative teaching methodologies, such as escape room games and project-based training, into educational curricula for AI fairness and governance? 3. How can Internet Governance initiatives promote diversity and inclusivity in AI development, ensuring that all members of society have a voice in shaping the ethical and equitable deployment of AI technologies?
What will participants gain from attending this session? Participants will gain insights into innovative approaches to teaching AI fairness and governance, enabling them to explore diverse strategies beyond traditional methods. They will leave with a deeper understanding of the relevance of AI fairness to Internet Governance, practical tools for incorporating innovative teaching methodologies, and connections to policy questions in the digital space. Attendees will be equipped with new knowledge and resources to enhance their educational practices and contribute to the advancement of AI fairness and governance initiatives. Participants will have the opportunity to engage with a short handbook of collected methodologies, providing practical guidance for integrating these approaches into their instruction of AI governance. Moreover, they will interact directly with the methodologies and experts, facilitating an open forum for questions and discussion on implementation strategies and best practices.
Description:
This workshop explores alternative methodologies for teaching AI fairness and governance within the context of harnessing innovation and balancing risks in the digital space. Experts will share diverse strategies such as using escape room games, conducting project-based training, and other innovative practices. By focusing on the relevance of AI fairness to Internet Governance and its alignment with the subtheme, participants will engage in substantive discussions on best practices and policy questions. The session will emphasize interactive engagement, considering the hybrid nature of the meeting, and promoting diversity across various vectors. In addition to fostering substantive discussions on best practices and policy questions, our workshop will provide participants with hands-on opportunities to engage with the alternative methodologies presented. Through interactive activities and demonstrations, attendees will have the chance to experience firsthand how escape room games, project-based training, and other innovative practices can be effectively utilized in AI fairness and governance education. This experiential learning approach will deepen participants' understanding of the practical application of these methodologies and inspire them to explore creative ways to integrate them into their educational contexts. Moreover, by encouraging active participation and collaboration, the session will facilitate the exchange of ideas and experiences among diverse stakeholders, enriching the learning experience for all involved.
Participants will leave the session equipped with a deeper understanding of innovative methodologies for teaching AI fairness and governance, along with practical strategies for implementation. The session's outputs will include a curated handbook of collected methodologies, providing a valuable resource for educators and policymakers. Additionally, the insights generated from discussions and interactions with experts will inform the development of best practice guidelines for integrating these methodologies into educational curricula. The session will catalyze ongoing dialogue and collaboration, fostering partnerships between stakeholders in academia, industry, and civil society. Ultimately, the outcomes will contribute to advancing inclusive AI literacy education and promoting diversity and equity in the digital space.
Hybrid Format: We will utilize Zoom for online participation and integrate a hybrid Q&A platform that will allow both online and on-site participants to submit their questions electronically. To manage the Q&A flow, a designated facilitator will be present to give priority to online questions and ensure that they are addressed clearly for both audiences. Both groups will have access to live polls and breakout rooms. Additionally, we will provide pre-workshop resources in the form of a digital handbook that outlines the methodologies beforehand. For online participants, a dedicated technical support team will be available to troubleshoot any audio or video issues. We will also clearly outline expectations for participation, such as microphone etiquette and camera usage, for both online and on-site attendees. Lastly, we will record the workshop session and share it with all participants afterward, allowing those who couldn't attend live to access the content later.
Report
Serious games and project-based learning are effective tools for teaching AI fairness, helping students engage with AI ethics through interactive experiences.
Inclusive AI education is essential, especially for underserved communities, and requires clear policy frameworks and cross-sector collaboration to be effective.
Collaboration across academia, government, and industry is crucial for developing ethical AI systems and ensuring equitable access to AI education.
We call on policymakers and educators to prioritize AI fairness in curricula, ensuring that future technologists, especially from under-resourced communities, are equipped with the skills to build ethical AI systems.
Industry leaders and NGOs, your involvement is key to bringing AI education to underserved communities. Let’s form stronger partnerships to support initiatives that promote inclusive AI literacy, creating pathways for future entrepreneurs and engineers to tackle the challenges of algorithmic bias and fairness in real-world AI applications.