International Symposium on Telecommunication (IST)

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Insurance of liability for self-driving cars

Authors :

Hussein Taleb¹ Mohammad Hadi Bokaei² Davood Heidari kani³ Farbod Rabizadeh Fard⁴ Elham Rafati⁵ Neda Nedaei⁶

1- Artificial Intelligence Innovation Development Group, Communication and Information Technology Research Institute 2- Artificial Intelligence Innovation Development Group, Communication and Information Technology Research Institute 3- Artificial Intelligence Innovation Development Group, Communication and Information Technology Research Institute 4- Artificial Intelligence Innovation Development Group, Communication and Information Technology Research Institute 5- Artificial Intelligence Innovation Development Group, Communication and Information Technology Research Institute 6- Artificial Intelligence Innovation Development Group, Communication and Information Technology Research Institute

Keywords :

artificial intelligence،self-driving cars،liability،insurance

Abstract :

Self-driving cars have the potential to significantly impact society in the coming years. It is expected that with the introduction of self-driving cars on the country's roads, the number of vehicle accidents will decrease significantly, road casualties will decrease, and subsequently, the costs of car insurance and the costs required for the healthcare sector will decrease. On the contrary, improper performance of self-driving cars can lead to irreparable damage. In this article, various aspects of liability and insurance of liability for self-driving cars are discussed and a set of operational solutions are proposed to determine and develop the framework of liability and insurance for self-driving cars. The results of this paper pave the way for the development of a unified regulatory framework at national and international levels that can help to create consistent standards for autonomous vehicle liability.

Papers List

List of archived papers

An Efficient Motor Imagery BCI Classification Architecture Using Non-linear Network Tuning suitable for Cloud-Edge Environments

Abolfazl Danayi - Hamid Soltanian-Zadeh

Simulation of Cell Movement Control by Magnetophoretic Chips

Mohammadreza Yousefi - Mohammad Taheri

A New Method to Improve NDN Forwarding Packets Using SDN

Mahdi Darvishnezhad - Mohammad Yousef Darmani

Three Degrees of Freedom Cells and a Perforated Dielectric for Wideband Reflectarray Fabrication

Mahdieh Bozorgi - Mahmood Rafaei-Booket - Soroosh Ghaffari

Examining the legal challenges and loopholes of artificial intelligence by considering the upstream documents of the country

Mohammad Hadi Bokaei - Elham Rafati - Davood Heidari Kani - Farbod Rabizadeh Fard - Ali Derakhshani - Iman Derakhshani - Nooshin Bodaghi - Reza Baderestani - Neda Nedaei

Measuring the social influence for retweet behavior prediction in microblogging network

Rahebeh Mojtahedi safari - Amir Masoud Rahmani - Sasan H.Alizaeh

Impact of QoS and Task Processing on IoT Edge Energy Consumption

Asghar Mohamadian - Sam Jabbehdari - AmirMasoud Rahmani - Houman Zarrabi

A Review of Feature Selection Methods for Disease Risk Prediction and healhcare

Fatemeh Mohammadi

Federated Learning: Attacks, Defenses, Opportunities and Challenges

Ghazaleh Shirvani - Saeid Ghasemshirazi - Behzad Beigzadeh

Reconfigurable and Tunable Iris Filter Based on Plasma Technology

Atefeh Ashrafian - Fatemeh Sadeghikia - Jalil agha Rashed mohassel