Build notes · Goh Kun Ming
Application of Artificial Intelligence in Driving
Research · Public project
Apr 2024 – Jun 2024
Project overview
A research proposal discussing AI for driving safety, alongside cost, fairness, privacy and security considerations.
A research presentation exploring possible AI applications for driving safety in support of SDG 3.6. The proposal weighs technical possibilities against cost, bias and security considerations.
Inside this build
- Researched AI approaches that could support road-safety and accident-prevention goals.
- Discussed autonomous systems, live monitoring and predictive analytics as potential approaches.
- Explained the roles of computer vision, machine learning, neural networks, deep learning and supporting data.
- Compared possible benefits with cost, bias and security challenges.
- Proposed responsible-deployment considerations, including algorithmic fairness; the work does not claim an implemented vehicle or measured safety improvement.