AI can be used to drive sustainability initiatives, yet the technology itself has an environmental cost. How can we strike a balance?
AI is touted as an effective tool for corporations to use in support of their environmental, social, and governance (ESG) strategies.
As the question of environmental sustainability becomes more pressing, that capability holds significant promise in identifying patterns and potential solutions for complex problems, like carbon dioxide emissions.
Yet there is also an environmental cost attached to it
What are the biggest opportunities to apply AI to sustainability challenges?
How can enterprise leaders weigh those opportunities against the sustainability risks inherent to such powerful, in-demand technology?