The Impact of Autonomous Vehicles on P&C Insurance: Preparing for the Next Frontier of Risk and Liability

The arrival of autonomous vehicles (AVs) promises to revolutionize transportation with significant implications in the property and casualty (P&C) insurance business.Traditional paradigms for risk assessment and liability in auto insurance are under attack as self-driving technology evolves.This paper examines the emerging risks and opportunities that AVs have introduced to the P&C insurance world.On the key considerations side, product and manufacturer liability for human operator injuries, the increase in automation of insurance underwriting using advanced technologies like AI and machine learning and potentially decreased accident frequency but an increased severity in accidents caused by more advanced vehicle systems is all on the table.The paper also considers regulatory frameworks that guide the adoption of AV and their implications for Insurance should the different modes of operation of AV and human-driven vehicles begin to converge.It addresses how telematics and data analytics play into a fault and pricing premium decision in a market where AVs are dominant.The paper discusses adapting to the evolving risk environment and looks at regional Collaboration between insurers, policymakers and automakers.Insurers can prepare for the future in which AVs rewrite mobility, assure against uncertainty and capture opportunity in the era of transformational change through understanding these dynamics.The alarming findings add weight to the call to proactively develop insurance products and other risk management apparatuses to fit into the complexities of autonomous technologies.

Authors

Publication Details

Journal
Journal of Artificial Intelligence Machine Learning and Data Science
Published
2025-04-21
DOI
https://doi.org/10.51219/jaimld/sateesh-reddy-adavelli/549
Primary Topic
Law, AI, and Intellectual Property
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of Autonomous Vehicles on P&C Insurance: Preparing for the Next Frontier of Risk and Liability

Sateesh Reddy Adavelli, Ravi Teja Madhala, Nivedita Rahul
Journal of Artificial Intelligence Machine Learning and Data Science
Law, AI, and Intellectual Property
article

The Impact of Autonomous Vehicles on P&C Insurance: Preparing for the Next Frontier of Risk and Liability

Sateesh Reddy Adavelli, Ravi Teja Madhala, Nivedita Rahul
article en

Abstract

The arrival of autonomous vehicles (AVs) promises to revolutionize transportation with significant implications in the property and casualty (P&C) insurance business.Traditional paradigms for risk assessment and liability in auto insurance are under attack as self-driving technology evolves.This paper examines the emerging risks and opportunities that AVs have introduced to the P&C insurance world.On the key considerations side, product and manufacturer liability for human operator injuries, the increase in automation of insurance underwriting using advanced technologies like AI and machine learning and potentially decreased accident frequency but an increased severity in accidents caused by more advanced vehicle systems is all on the table.The paper also considers regulatory frameworks that guide the adoption of AV and their implications for Insurance should the different modes of operation of AV and human-driven vehicles begin to converge.It addresses how telematics and data analytics play into a fault and pricing premium decision in a market where AVs are dominant.The paper discusses adapting to the evolving risk environment and looks at regional Collaboration between insurers, policymakers and automakers.Insurers can prepare for the future in which AVs rewrite mobility, assure against uncertainty and capture opportunity in the era of transformational change through understanding these dynamics.The alarming findings add weight to the call to proactively develop insurance products and other risk management apparatuses to fit into the complexities of autonomous technologies.

Journal of Artificial Intelligence Machine Learning and Data ScienceVol. 3(2)
Decent work and economic growth
Openalex Percentile: Top 96%
Law, AI, and Intellectual Property
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.