【奥雅纳】2025AI助力东盟可持续发展为气候行动推进安全可信及伦理人工智能报告_178页_6mb

Summary of AI for Sustainable Development in ASEAN

Core Content

This report explores the transformative potential of AI in addressing climate challenges across Southeast Asia, focusing on the development and deployment of safe, trustworthy, and ethical AI systems for climate action. It highlights the need for targeted interventions to ensure AI contributes positively to the region's Sustainable Development Goals (SDGs), while also addressing risks and challenges associated with its implementation.

The report outlines seven key pillars for leveraging AI in climate action: Data, Computing, Talent & Skills, Responsible Governance, Innovation, Scaling, and GEDSI (Gender Equality, Diversity, and Social Inclusion). It emphasizes the importance of these pillars in building capacities for inclusive and impactful AI solutions.

Main Points

Climate Challenges in Southeast Asia

• The ASEAN region is highly vulnerable to climate change, facing significant economic losses and fatalities from climate-related disasters such as floods, droughts, and typhoons.
• Climate action is defined as Mitigation (reducing emissions and enhancing sinks) and Adaptation (adjusting to climate effects to reduce harm or exploit opportunities).
• Key mitigation sectors include Energy & Emissions Management, Transport, Manufacturing Industries & Construction, and Agriculture, Forestry and Other Land Use (AFOLU).
• Key adaptation sectors are Food & Agriculture, Water Resources, Forest & Biodiversity, and Urban Resilience.

AI's Role in Climate Action

• AI has the potential to drive significant positive impacts in both mitigation and adaptation, particularly in agriculture, disaster relief, and energy optimization.
• AI can predict crop diseases with up to 90% accuracy, optimize resource use, and improve early warning systems for climate-related disasters.

Risks and Challenges

• Digital Divide: Limited internet and data access in rural areas exacerbates economic and social inequalities.
• Data Limitations and Algorithmic Bias: Poor data quality and lack of local representation can lead to biased AI systems that fail to address regional needs.
• Environmental Footprint: The growth of AI, particularly data centers and large models, increases energy and water consumption, contributing to environmental strain.
• Climate Misinformation: AI can be misused to spread false narratives, undermining public trust and scientific understanding.
• Privacy and Data Security: Inadequate cybersecurity measures pose risks to personal data, especially in climate monitoring systems.

Key Insights and Recommendations

Data

• Enhancing local data collection and data governance is essential to address climate data gaps.
• Integrating Traditional Ecological Knowledge into AI systems can improve inclusivity and relevance of climate strategies.

Computing

• Strengthening sustainable data centers and improving energy efficiency in computing infrastructure is critical to reduce the environmental impact of AI.

Talent & Skills

• Building an AI-ready workforce is necessary to accelerate progress in climate sectors.
• Special attention should be given to supporting female and disabled farmers and upskilling students and professionals in cross-domain knowledge.

Responsible Governance

• Ensuring accountability and transparency in AI systems is vital for public trust.
• Establishing inclusive funding mechanisms and ethical guidelines can help mitigate the gender gap in AI-driven climate tech.

Innovation

• Investing in frontier AI research and local innovation can lead to scalable and impactful solutions.
• Emphasizing generative AI and predictive AI tailored to Southeast Asian contexts is recommended.

Scaling

• Encouraging public-private partnerships and crowding in financing can support the scaling of promising AI innovations.
• Attracting commercial capital is crucial for sustainable development and addressing regional challenges.

GEDSI (Gender, Diversity, and Social Inclusion)

• The gender gap in AI-driven climate tech funding must be addressed to ensure equitable innovation.
• Diverse leadership and inclusive access are necessary to enhance the relevance and impact of AI solutions.

Key Actors and Partners

• UK's FCDO and Arup commissioned and delivered the study.
• Stakeholders included experts from ASEAN Secretariat, UN-Habitat, Digital Futures Lab, and local governments in countries like Indonesia, Cambodia, and Timor-Leste.

Conclusion

The report underscores the potential of AI to transform climate action in Southeast Asia but also highlights the urgent need for responsible governance, inclusive policies, and ethical practices to ensure its benefits are equitably distributed and its risks are mitigated. By addressing the digital divide, data quality, environmental impact, and social inclusion, the region can harness AI as a force for sustainable development.

Key Findings

• AI can significantly enhance climate resilience and economic growth if implemented responsibly.
• Regional cooperation and ambitious climate policies are essential for effective AI-driven climate action.
• Investments in data governance, computing infrastructure, talent development, and inclusive innovation are critical to building safe and ethical AI systems.
• Gender and social inclusion must be at the core of AI development and funding to ensure equitable progress.