MIT’s New AI-Powered Co-Pilot Will Redefine Aviation Safety

MIT's Air-Guardian: Elevating Aviation Safety with Human-AI Collaboration. Safer skies through proactive risk detection and seamless co-piloting. Powered by cutting-edge technology and trusted by industry leaders
Listen to this story

MIT’s New AI-Powered Co-Pilot Will Redefine Aviation Safety

MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) has introduced Air-Guardian, an aviation safety system for a better collaboration between human pilots and AI, promising safer skies for all.

The technology will upgrade a cockpit to a place where both a human pilot and an AI co-pilot continuously monitor and assess the flight’s parameters, each focusing on different aspects but working together to ensure passenger safety.

Subscribe to our Newsletter

Join our editors every weekday evening as they steer you through the most significant news of the day, introduce you to fresh perspectives, and provide unexpected moments of joy
Your newsletter subscriptions are subject to AIM Privacy Policy and Terms and Conditions.

Air-Guardian operates by proactively interpreting the pilot’s attention. It utilises eye-tracking technology for humans and “saliency maps” for  AI, pinpointing the areas of focus within the cockpit’s visual field. These maps function as a virtual guide, aiding the AI in comprehending algorithms and identifying potential risks long before they escalate, setting it apart from traditional autopilot systems that react only after safety breaches have occurred.

Air-Guardian was put through field tests where both the pilot and the AI made decisions based on the same unprocessed visual data during navigation. The results: Air-Guardian not only reduced the risk level during flights but also improved the success rate of reaching predefined waypoints.

“This system  doesn’t replace human judgement; instead, it complements it, leading to enhanced safety and collaboration in the skies, ” said Ramin Hasani, MIT CSAIL research affiliate and the mind behind liquid neural networks.

Air-Guardian’s core technology relies on an optimization-based cooperative layer and liquid Closed-form continuous-time neural networks, known for their ability to decipher cause-and-effect relationships. The inclusion of the VisualBackProp algorithm ensures a clear understanding of attention maps within the images.

The research for Air-Guardian was partially funded by organisations such as the United States Air Force Research Laboratory, the United States Air Force Artificial Intelligence Accelerator, The Boeing Company, and the Office of Naval Research. It represents a significant stride in aviation safety.

Pranav Kashyap
As a financial journalist, Pranav covers various beats from Technology, Telecom and Companies. He follows the money trail, and dives deep into how companies utilize their funds. He loves to travel and is an aviation geek.

Download our Mobile App


AI Hackathons, Coding & Learning

Host Hackathons & Recruit Great Data Talent!

AIM Research

Pioneering advanced AI market research

Request Customised Insights & Surveys for the AI Industry


Strengthen Critical AI Skills with Trusted Corporate AI Training

Our customized corporate training program on Generative AI provides a unique opportunity to empower, retain, and advance your talent.

AIM Leaders Council

World’s Biggest Community Exclusively For Senior Executives In Data Science And Analytics.

3 Ways to Join our Community

Telegram group

Discover special offers, top stories, upcoming events, and more.

Discord Server

Stay Connected with a larger ecosystem of data science and ML Professionals

Subscribe to our Daily newsletter

Get our daily awesome stories & videos in your inbox