Fast-Tracking Progress through Data and AI | Sustainable Development Impact 2021

TL;DR

Overcoming barriers with AI and data for UN goals through collaboration and innovation.

Transcript

hi i'm jennifer schanker editor-in-chief of the innovator global publication about digital transformation and sustainability a warm welcome to all of you joining the panel on fast tracking progress through data and ai i encourage participants to post their questions to the chat if time allows i will pose your questions to the panelists our focus to... Read More

Key Insights

• 😀 Data and AI implementation for UN goals face barriers including data compatibility, computing resources, AI models, technical expertise, and domain knowledge.
• 😒 Concrete examples like the children's climate risk index and malaria prevention with drones showcase the impactful use of data and AI.
• 🤗 Governments can address challenges through legislation, open data policies, and promoting AI research clouds for skills development.
• 🔒 Collaboration between private and public sectors is vital to overcome data access challenges for scaling AI solutions.

Questions & Answers

Q: How can collaboration between private and public sectors help overcome data access challenges in implementing AI for UN goals?

Collaboration is crucial as private sector expertise can solve problems identified by public sector agencies, leading to shared solutions. Open-source platforms and transparency can facilitate data-sharing, enabling more effective AI applications.

Q: What role does legislation play in ensuring responsible data usage and enhancing AI capabilities for governments like Rwanda?

Legislation can set standards for data quality, security, and responsible usage, creating a framework for AI development. Initiatives like the open data policy and AI legislation in Rwanda promote data sharing, skills development, and attracting AI investments.

Q: How can global collaboration initiatives like the high-level panel for ocean sustainability facilitate scaling AI insights and data-sharing among nations?

Collaborative platforms like the high-level panel create opportunities for nations to share resources, insights, and data, accelerating AI implementation for common goals like ocean sustainability. By pooling expertise and data, nations can work together efficiently towards shared objectives.

Q: In what ways can industry and government partnerships enhance data-sharing and accelerate the development of AI solutions for sustainability?

Industry-government partnerships can leverage industry data, research insights, and government resources to develop innovative AI solutions for sustainability challenges. Initiatives like opening industry data and creating collaborative platforms foster innovation, knowledge sharing, and rapid deployment of AI technologies.

Summary & Key Takeaways

• Applying data and AI to UN global goals faces barriers like data compatibility, access to computing resources, AI models, technical expertise, and domain knowledge.

• Panelists share examples of leveraging data for children's climate risk indexing, fighting malaria with drones, and optimizing public transport.

• Governments and organizations can overcome challenges by sharing quality data, implementing governance policies, and fostering collaboration.