solution · S11

AI for Environmental and Urban Resilience

The application of AI systems to proactively monitor, predict, and mitigate complex environmental and urban challenges. This includes using AI for early detection of natural disasters like wildfires, optimizing city services for safety and cleanliness, and managing critical urban infrastructure.

Updated

Observatory assessment: 30 / 100. Early Adoption

How assessments are made

Trajectory and projections

Key players

  • Academic and research institutions
  • DeepMind
  • IEEE
  • RAND Corporation

Barriers

  • Ensuring safety, reliability, and human oversight for autonomous AI in safety-critical applications

Top evidence

Introducing WeatherNext 3, our most advanced and accurate global weather AI model

DeepMind Blog

DeepMind has launched WeatherNext 3, an advanced and accurate global weather AI model, showcasing the application of AI systems to proactively monitor, predict, and mitigate complex environmental challenges.

Regional climate risk assessment from climate models using probabilistic machine learning

Nature Machine Intelligence

This article discusses the application of probabilistic machine learning models to assess regional climate risks, highlighting AI's potential to enhance our understanding and prediction of complex environmental challenges. It focuses on how AI can be used to improve climate modeling and risk assessment.

Accelerating scientific discovery with ChatGPT for Academic Researchers

OpenAI Blog

OpenAI is granting 100,000 academic researchers free access to its most advanced ChatGPT models to accelerate scientific research, collaboration, and discovery. This initiative aims to leverage AI capabilities to advance various fields of science, potentially leading to broader societal benefits.

IEEE Course Teaches How to Use AI to Modernize Power Grids

IEEE Spectrum AI

The IEEE is offering a course on using AI to modernize power grids, addressing challenges like rapid industrial growth, extreme weather, and surging electricity demand. This initiative represents a crucial application of AI for enhancing infrastructure resilience and public safety, contributing to environmental and urban stability.

AI is dominating the conversation at Climate Week

MIT Technology Review

AI has become a dominant topic at Climate Week, indicating growing recognition of its dual role in environmental impact, both as a contributor to climate challenges through its energy consumption and as a potential tool for addressing them.