We have all been there. Driving down a main road and hitting every single red light. How frustrating! Poorly timed traffic lights don’t just waste precious time, they also impact the environment and public health. This interesting news came to us from Engadget in their article, “Google turns its AI on traffic lights to reduce pollution.”
Google is working on sustainability-centric products that aim to help users make more informed, environmentally friendly decisions. In addition, they are working on a project that could use artificial intelligence (AI) to make traffic lights more efficient.
The idea of letting AI decide to control the stop and go of vehicles can seem unsettling, but the goal of improving traffic light efficiency is a worthwhile one. However, understanding the AI technology and how it achieves this is important.
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. Explainability becomes critical when the results can have an impact on data security or safety.
Melody K. Smith
Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.
