LEAN PROTOTYPE MACHINE
LEAN PROTOTYPE MACHINE
Is Your AI Driven Product Ethical?
Not sure if you are fully managing your organisation's data ethics obligations? Worried about potential reputation damage from how customer data is being used? Understand consumer expectations on data ethics in this first study of its kind on AI Car insurance.
What is the
Study About?
Real World Ethical Product Choices
In this study, 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.
Methodology
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.
Gain Valuable Insights
Ethical Values
What values do consumers care about most?
How do consumers perceive the risk of data sharing and AI processing?
Demographics
Understand the influence of Age, Gender, Income, Education and Tech Savviness
Concerns & Opportunities
Understand the key themes behind consumer concerns
Zero in on opportunities
Approach
Understand how to integrate an evidence based approach to your decision making on data ethics
Developed with Digital & Data Ethics Expertise
Christopher Tia
Principal & Study Author
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.
Certified Machine Learning, SOC, CIPP/E+US, CIPT, ISO27001, NIST CSF, e-Discovery Professional
B. Science (Computer Science), B. Laws (Hons), M. Commerce, Grad Dip (Legal Practice)
