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About this paper
Anthonette Adanyin
This study conducted a descriptive survey of consumers to empirically assess perceptions of ethical AI in retail, specifically concerning privacy and fairness. It identified widespread consumer concerns regarding data collection volume, lack of transparency in data usage, and biased treatment by AI systems, while also confirming that consumers believe ethical AI can be balanced with business competitiveness.
Key insights
- Consumers harbor significant concerns regarding the volume of personal data collected, the lack of transparency in AI data usage, and the perceived unfairness or bias in AI decision-making within retail.
- There is a strong demand from consumers for greater transparency, clear explanations of AI decisions, and equitable treatment across all AI-driven retail applications.
- Consumers largely believe that retailers can effectively balance business competitiveness and profitability with ethical principles, provided AI implementation prioritizes transparency and ethical standards.
Summary by alphaXiv.
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