AI for Good - Davos AI Summit 2025 | Architects of the Global Future | Frederic Werner, AI for Good, ITU
The discussion highlights the potential of AI to advance the United Nations' sustainable development goals (SDGs) within the next five years. AI applications can address issues such as climate change, clean energy, affordable healthcare, and education. However, challenges exist in ensuring AI works equitably across different demographics and in low-resource settings. The AI for Good initiative focuses on identifying trustworthy AI applications to advance SDGs, collaborating with 47 UN sister agencies and various stakeholders, including civil society and the tech industry. Despite progress, a third of the world remains unconnected, limiting participation in the AI revolution. Efforts are underway to bridge this gap by using AI to facilitate online access and participation, particularly in developing countries. The initiative also addresses misinformation and the AI skills gap through standards and collaborations with major tech companies. Recent efforts include launching the AI skills Coalition and the open Wallet Forum to enhance digital public services globally.
Key Points:
- AI can help achieve UN's sustainable development goals by addressing climate change, healthcare, and education.
- Ensuring AI applications work equitably across demographics and low-resource settings is crucial.
- AI for Good collaborates with UN agencies and stakeholders to develop trustworthy AI applications.
- A third of the world is unconnected, limiting participation in the AI revolution; efforts are needed to bridge this gap.
- Initiatives like the AI skills Coalition and open Wallet Forum aim to improve digital services and skills globally.
Details:
1. 🌍 AI's Role in Achieving UN Goals
- The United Nations sustainable development goals have a deadline of five years from now.
- AI is seen as a promising tool to significantly advance many of these goals.
- AI can improve healthcare access and quality, contributing to Goal 3: Good Health and Well-being.
- AI-driven data analysis can optimize resource use, supporting Goal 12: Responsible Consumption and Production.
- AI technologies can enhance educational tools, aiding in Goal 4: Quality Education.
- By improving agricultural practices through AI, Goal 2: Zero Hunger can be targeted effectively.
2. 🧩 Ensuring AI Inclusivity and Accessibility
- AI applications need to function effectively across all demographics, including different genders, ages, skin colors, and disabilities, while addressing challenges in low-resource settings where basic infrastructure is lacking.
- The prevalent 'build it and fix it later' method in AI development often overlooks inclusivity and accessibility, necessitating a shift to proactive consideration from the beginning.
- AI for Good is an initiative aimed at identifying trustworthy AI applications that support sustainable development goals, involving collaboration with 47 UN sister agencies.
- Efforts to include diverse voices in AI development are ongoing, with inputs from 194 member states, tech industry, academia, and civil society, emphasizing the need for broad-based participation beyond just experts.
- Despite advancements in connectivity, a significant portion of the global population remains unconnected, highlighting the need for inclusive AI to bridge this gap.
3. 🌐 Bridging the Global Digital Divide
- AI technologies, such as speech-to-text and text-to-voice applications, can significantly reduce barriers for individuals with literacy and disability challenges, making digital content more accessible.
- Promoting online access to government services and creating content in local languages are vital strategies to increase digital participation and inclusion.
- Approximately half of the global population remains offline, underscoring the urgent need for inclusive strategies to involve them in the AI Revolution.
- Encouraging digital engagement not only aids in creative problem solving and solution finding but also fosters cultural exchange, enriching societies globally.
4. 🤝 Global Collaboration and Establishing AI Standards
- Developed 220 AI standards focusing on cybersecurity, telecommunication networks, multimedia, and environmental efficiency for data centers.
- Hosted an AI Governance Day with the theme of moving from principles to implementation, involving major governance processes from the US, UK, China, Japan, Korea, and ministers from about 80 developing countries.
- The event aimed to transition from principles to implementation, highlighting commonalities across different governance frameworks.
5. 🛡 Addressing Misinformation and the AI Skills Gap
- A standards initiative was developed to foster collaboration around deep fake detection techniques and AI watermarking as a strategy to handle misinformation. This includes creating a framework for detecting and mitigating digital content manipulation, essential for maintaining information integrity.
- An AI skills Coalition was launched with 30 partners, including major tech companies like Microsoft and AWS, to address the AI skills gap. This coalition focuses on creating educational programs and resources, aiming to equip the workforce with necessary AI competencies, thereby enhancing productivity and innovation.
6. 🔧 Pioneering Innovations and Future Directions in AI
- Guff stack is crucial for enabling governments in developing countries to transform digitally and offer interoperable digital public services.
- The Open Wallet Forum was launched in collaboration with the Linux Foundation to develop digital wallets that can be used globally.
- An invitation to participate in an open and free event in Geneva from the 8th to the 11th, aiming to gather inputs from a wide audience.