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The Semi-Autonomous Systems’ Dangers to Humans

Project by Polygence alum Shalini

The Semi-Autonomous Systems’ Dangers to Humans

Project's result

Published in Polygence and R.A.R.S.

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Semi-autonomous vehicles represent a technological leap forward, yet they come with their own set of challenges. The term "semi-autonomous" often misleads users into thinking these systems are fully autonomous, leading to complacency and trust in the technology, a trust that should not exist to the extent that it does. While the safety of AI-powered systems has been extensively studied, the lack of warning mechanisms for distracted driving remains a concern, contributing to a rise in fatalities. This paper reviews the limitations and risks posed by current semi-autonomous systems and addresses the need for enhanced safety measures and potential adjustments to semi-autonomous systems, arguing that semi-autonomous systems amplify risks on the road rather than enhancing driving efficiency.



Polygence mentor

PhD Doctor of Philosophy candidate


Engineering, Computer Science, Arts


Computer Science, Security and Machine Learning, AI, Accessibilty in Computer Science, HCI, Robotics, Art- film photography, visual arts




Hello! My name is Shalini Punekar, and I am a senior at Granada High School doing the IB Diploma. My project is on semi-autonomous systems and their safety concerns when paired with distracted driving. I'm very much intrigued by AI and its applications and how it is penetrating into almost every major area of knowledge; I would love to pursue it in my future studies.

Graduation Year


Project review

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About my mentor

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