Autonomous Yet Vulnerable: Data Security, Privacy And Ethical Challenges In Autonomous Systems
- IJLLR Journal
- Jul 9
- 2 min read
Vrushank CJ, K.L.E. Society’s Law college, Bangalore
ABSTRACT
Artificial intelligence (AI) is fast evolving, and everyone is accustomed to it. large manufacturers are investing billions of dollars to manufacture Autonomous vehicles and Drones. Autonomous vehicles are a growing trend in U.S domestic market and drones are being used almost in every corner of the world and these drones can be warfare ready too i.e. Unmanned Aerial Vehicle (UAV) which has become an efficient tool in defense and disaster response. Autonomous vehicles have more benefits providing safety, traffic optimization and fuel efficient.
However, this transformation in technology involves greater risks in privacy and data security, as these machines are based on real-time data processing and self-learning AI mechanism. Autonomous vehicles are based on LIDAR, high resolution cameras and self-learning AI algorithm which dynamically changes based on location, behavioral patterns and real time data. This flexibility may lead to unauthorized access to private data, data harvesting and raises other security concerns. The capability and adaptable nature of such AI driven machines raises a challenge to bring in advanced security frameworks ensuring data protection and public trust.
This research paper examines privacy concerns in three key areas: (1) Unauthorized surveillance and data harvesting by drones and autonomous vehicles, (2) (V2X) vehicle to everything vulnerabilities in wireless data connectivity, (3) Usage of AI in high data-sensitive areas. The goal is to provide more transparency and protection of private data by being accountable to users on how the data is being collected and where it is being applied. We can overcome these complications by having legal and ethical frameworks, also by providing a well secured experience to users with full autonomy.
