AI x Sustainability
Changemaking | Organizational Challenges | Responsible Use
Understanding the organizational side of it
When implementing AI for environmental sustainability, it's essential to address not only technical challenges but also organizational ones like budget constraints, data accessibility, resistance to change, misalignment of goals, and ethical concerns. Here, we focus on these critical organizational challenges, which are just as important to ensure AI initiatives deliver meaningful, lasting impact.
Resources
If you're curious about what can be achieved with AI for sustainability, or what to keep in mind when developing your own project, here are some resources to explore. They include lists of companies developing AI solutions for sustainability, content on why AI projects fail, checklists to ensure best practices, and a project framework template to help on first steps.
Participate
We are creating a repository of challenges and insights to assist organizations using AI for sustainability. If you have used AI for an environmental sustainability goal, please share your experiences so we can learn from each other.
