AI Car Insurance - Quantify Consumer Expectations on Data Ethics
This study provides insights into ethical product choices in relation to AI Car Insurance products.
Respondents are presented with two hypothetical car insurance products that use AI to track and monitor driver behaviour and usage in real time. Premium discounts are provided to drivers exhibiting desired practices. Study respondents are asked to rank product features (containing defined ethical priorities) based on their relative importance to purchase intention.
This study was completed in 2023. All responses were collected online, screened for US Car Owners . The sample size was based on 268 qualified responses. Balanced sampling was used on Gender and Age, based on the US Census. Respondents were representative of all regions throughout the USA.
Demographic analysis is based on responses relating to the respondent’s age, gender, income, education and a self assessment of how ‘Tech Savvy’ they consider themselves to be.
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About Lean Prototype Machine
Lean Prototype Machine is a boutique privacy and information security compliance consulting service based in Australia. We work with companies that are looking to implement ISO27001, SOC, NIST CSF, Data Ethics or comply with the CCPA, HIPAA and GDPR.
The study author is Chris Tia, Principal of Lean Prototype Machine. Chris is an experienced management consultant specialising in data ethics, privacy and data protection solutions. He helps organisations manage online risk, integrate governance processes, benchmarks & standards and automate privacy operations to meet regulatory requirements and demonstrate compliance. He is a certified Machine Learning, SOC, CIPP/E+US, CIPT, ISO27001, NIST CSF, e-Discovery Professional. His qualifications include a Bachelor of Laws and Science (Comp Sc ), M. Commerce, Grad Dip (Legal Practice).