International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 09 | Sep 2024
p-ISSN: 2395-0072
www.irjet.net
Ethical Implications of AI in Autonomous Systems: Analyzing the ethical challenges and societal impacts of deploying AI in autonomous vehicles and drones. Gauri Garad1, Trushna Garad2 1MCA. Data Science, Ajeenkya D. Y. Patil University, Pune, Maharashtra, India 2 B.E. Computer Engineering, K. K. Wagh Engineering College, Nashik, Maharashtra, India
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Abstract -The deployment of artificial intelligence (AI) in
machines. For instance, in the event of a potential accident, how should an autonomous vehicle prioritize the safety of passengers versus pedestrians? Who is liable for harm caused by an autonomous system — the manufacturer, the software developer, or the user? These are not only technical challenges but deeply ethical dilemmas that must be addressed to ensure responsible deployment. Beyond safety, the societal impacts of AI-driven autonomous systems extend to privacy, employment, and social inequality [1]. Drones equipped with surveillance capabilities, for example, may infringe on individual privacy rights, while autonomous vehicles could displace millions of jobs in transportation and logistics. The introduction of AI into these areas raises concerns about how benefits and risks will be distributed across different segments of society. Additionally, the algorithms governing these systems may inadvertently reinforce societal biases, leading to discriminatory outcomes in their operations.
autonomous systems, such as self-driving vehicles and drones, presents significant ethical challenges and societal implications. This research aims to analyze these challenges, focusing on issues such as accountability, decision-making, bias, and privacy. Through a qualitative approach, the study examines real-world incidents, including the 2018 Uber autonomous vehicle fatality, Tesla Autopilot crashes, military drone strikes, and privacy concerns surrounding Amazon Prime Air drones. The research highlights the gaps in current legal and regulatory frameworks and emphasizes the need for clear ethical guidelines and policies to govern the responsible deployment of AI in autonomous systems [2]. The outcomes underscore the importance of addressing public trust, ensuring AI accountability, and protecting privacy to mitigate the societal risks posed by these technologies. This study proposes ethical frameworks and policy recommendations to enhance the safe and equitable use of AI in autonomous systems..
This paper provides an overview of the ethical implications associated with AI in autonomous systems, with a particular focus on vehicles and drones [2]. It outlines the key ethical challenges these technologies present, including issues of accountability, fairness, transparency, and privacy, while also considering their broader societal impacts. The goal is to analyze how these ethical challenges can be addressed to ensure that AI in autonomous systems is developed and deployed in a manner that aligns with societal values and norms. By doing so, this research aims to contribute to the ongoing discourse on the responsible use of AI and inform policy-making in the field of autonomous systems.
Key Words:
Artificial Intelligence (AI), Autonomous Vehicles, Drones, AI Ethics, Accountability, Decision-Making, Bias in AI, Privacy, Ethical Frameworks, AI Regulation, Societal Impact, Autonomous Systems
1. INTRODUCTION The deployment of Artificial Intelligence (AI) in autonomous systems, particularly in vehicles and drones, represents one of the most significant technological advancements of the 21st century. These systems, capable of functioning with minimal or no human intervention, offer the potential to revolutionize industries, from transportation and logistics to surveillance and emergency response [1]. Autonomous vehicles promise to reduce traffic accidents, improve mobility, and increase efficiency, while drones enable faster, more flexible operations in various sectors. However, the introduction of such technologies also raises complex ethical challenges and societal implications that must be critically examined. At the core of these ethical concerns is the issue of decision-making in situations that involve human safety and security. Autonomous vehicles and drones are often required to make real-time decisions, potentially involving life-anddeath scenarios. Questions arise regarding accountability, transparency, and the moral frameworks that guide these
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2. RESEARCH PROBLEM The rise of AI-driven autonomous systems, such as selfdriving vehicles and drones, presents unprecedented opportunities for innovation, but it also brings a host of ethical challenges that are not fully addressed by existing frameworks. These systems, which rely on complex algorithms to make real-time decisions, raise critical questions about accountability, decision-making, bias, and privacy. A key issue is the lack of clarity around accountability when AI systems cause harm. Autonomous vehicles, for instance, are designed to reduce human error, but accidents still occur, as seen in the Uber and Tesla
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