116. Ethical AI and Algorithmic bias in retail: A systematic review
Invited abstract in session Business Management in Dynamic Emerging Markets, stream Selected Aspects of International Finance and OR.
Authors (first author is the speaker)
| 1. | Lilian Gumbo
|
| Management Accounting, UNISA |
Abstract
Previous discriminatory outcomes and algorithmic bias in customer targeting, pricing, and product recommendations in retail have led to a call for the ethical use of artificial intelligence (AI). The adoption of AI systems has increased following the COVID-19 pandemic due to the convenience and financial benefits that AI offers in online marketing, customer management, inventory management, and pricing optimisation. However, algorithms enabling AI systems can reinforce existing biases, leading to discriminatory outcomes with micro-individual, meso-organisational, and macro-societal effects.
Keywords
- Artificial Intelligence
- Pricing
- Ethics and Governance
Status: accepted
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