Unintended Consequences: Investigating AI-Induced Fatalities in Autonomous System

Unintended Consequences: Investigating AI-Induced Fatalities in Autonomous System

Mr. Aashutosh Bera 1, Mr. Ravi Der 2, Mr. Niraj Bhagchandani 3

1Mr. Aashutosh Bera Department of Information & Technology

2Mr. Ravi Der Department of Information & Technology

3Mr. Niraj Bhagchandani Department of Information & Technology

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Abstract

An Autonomous systems powered by artificial intelligence (AI) are transforming industries such as transportation, healthcare, and defense. However, unintended failures in these systems have led to fatal incidents, raising serious ethical, legal, and technical concerns. This paper investigates AI-induced fatalities in autonomous systems, analyzing real-world cases of system failures in self-driving cars, industrial robotics, and unmanned aerial vehicles. We explore the root causes, including algorithmic biases, sensor malfunctions, adversarial attacks, and lack of human oversight. Furthermore, we discuss the challenges in accountability, risk mitigation strategies, and regulatory frameworks aimed at preventing such fatalities. The study emphasizes the need for robust AI safety mechanisms, improved testing protocols, and ethical considerations to ensure the responsible deployment of autonomous systems. By addressing these critical issues, this research contributes to the development of safer AI-driven technologies that minimize unintended consequences and protect human lives.