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Open Science and artificial intelligence (AI) are driving transformative changes across various domains, revolutionizing the way research is conducted and knowledge is shared. However, ensuring equitable partnerships in Open Science remains a significant challenge in the current AI era and a barrier to accomplish SDG17, which cuts across all SDGs. A panel comprising representatives from every country aims to foster a collective understanding of the barriers and opportunities in building equitable partnerships for Open Science, specifically within the context of the AI era.
The session will explore the multifaceted aspects of equitable partnerships in Open Science, emphasizing the need for collaboration, inclusivity, and fairness. Panelists from diverse backgrounds, including academia, industry, government, and civil society, will engage in a constructive dialogue to identify and share best practices, strategies, and policies for promoting equitable partnerships.
Abstract
Open Science and artificial intelligence (AI) are driving transformative changes across various domains, revolutionizing the way research is conducted and knowledge is shared. However, ensuring equitable partnerships in Open Science remains a significant challenge in the current AI era and a barrier to accomplish SDG17, which cuts across all SDGs. A panel comprising representatives from every country aims to foster a collective understanding of the barriers and opportunities in building equitable partnerships for Open Science, specifically within the context of the AI era.
The session will explore the multifaceted aspects of equitable partnerships in Open Science, emphasizing the need for collaboration, inclusivity, and fairness. Panelists from diverse backgrounds, including academia, industry, government, and civil society, will engage in a constructive dialogue to identify and share best practices, strategies, and policies for promoting equitable partnerships.
Key discussion points will span:
1. Recognizing and addressing power imbalances in international collaborations for Open Science.
2. Promoting knowledge sharing and capacity building initiatives to bridge the digital divide.
3. Ensuring inclusivity and diversity in AI-driven research and development.
4. Protecting intellectual property rights while fostering open and collaborative research environments.
5. Developing ethical guidelines and standards for AI-enabled research to mitigate biases and potential harm.
6. Strengthening data governance frameworks to ensure responsible and equitable data sharing.
The panelists will draw upon their experiences, insights, and initiatives from their respective countries to provide practical recommendations that can be implemented globally. The discussion will highlight the importance of equitable partnerships in Open Science as a means to democratize knowledge, facilitate innovation, and address global challenges collaboratively.
By bringing together one representative from every continent, this panel discussion will foster cross-cultural understanding and collaboration, encouraging attendees to think critically and innovatively about the future of Open Science in the AI era. The insights generated from this session will contribute to the development of a roadmap for building equitable partnerships and promoting responsible and inclusive AI-enabled research at a global level.
Expected outcomes
By bringing together one representative from every continent, this panel discussion will foster cross-cultural understanding and collaboration, encouraging attendees to think critically and innovatively about the future of Open Science in the AI era. The insights generated from this session will contribute to the development of a roadmap for building equitable partnerships and promoting responsible and inclusive AI-enabled research at a global level. Participants will walk away with the nuances in AI-enabled research in global north and global south countries.
