As climate change intensifies the devastation from storms, wildfires and droughts, artificial intelligence (AI) and digital tools are increasingly being seen as a way to predict and limit its impacts. Some researchers are taking emerging technologies and turning them into a vehicle for climate action. Could it be that climate change is the catalyst that transforms AI, challenging it to be more crisis-responsive, more focused on innovations addressing large-scale hazards? This interesting topic came to us from The Jerusalem Post in their article, “How AI can have a positive and negative impact on climate – study.”

AI can be highly energy-intensive and environmentally damaging on its own. Critics warn that the tech could be a costly distraction from more effective ways of tackling climate change.

This is a good example of how technologies that are available can be helpful, but most organizations have little knowledge of how systems and technologies like AI make the decisions they do. Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms. “Explainable AI” is used to describe an AI model, its expected impact and potential biases. Why is this important? Because the results can have an impact on data security or safety.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.