Climate Change Data

Environmental Metrics

ESG Focus Areas

• AI ethics
• AI safety
• AI sustainability
• AI and the UN Sustainable Development Goals

Environmental Achievements

• Numerous AI applications to support environmental sustainability (e.g., optimizing logistics to minimize CO2 emissions, improved climate forecasting, monitoring deforestation)

Social Achievements

• AI applications in healthcare (e.g., improved diagnostics, drug development, patient care), education (e.g., personalized learning, teacher support), and addressing social inequalities (e.g., monitoring at-risk communities, refugee support)

Governance Achievements

• AI for Good initiative, promoting ethical AI development and deployment; collaboration on AI standards; discussions on AI governance challenges

Climate Goals & Targets

Environmental Challenges

• Algorithmic bias, data privacy concerns, job displacement, energy consumption of AI systems, lack of access to AI technology in developing countries, spread of misinformation, potential for AI misuse

Mitigation Strategies

• Development of ethical guidelines and frameworks for AI; investment in AI safety research; promoting diversity in the tech workforce; initiatives to improve data quality and transparency; international collaboration on AI governance

Supply Chain Management

Climate-Related Risks & Opportunities

Opportunities

• AI for climate change mitigation and adaptation

Reporting Standards

Frameworks Used: UN SDGs, OECD Principles on AI, UNESCO Recommendation on the Ethics of Artificial Intelligence, G7 Code of Conduct

UN Sustainable Development Goals

• 1
• 2
• 3
• 4
• 5
• 6
• 7
• 8
• 9
• 10
• 11
• 12
• 13
• 14
• 15
• 16
• 17

The report details how AI can contribute to each of the 17 SDGs.