Equitable AI for Retail Media Networks: Smarter, Fairer & Good for Business

If you’re not thinking about equitable AI for your or your client’s retail media network (RMN), you should be. RMNs increasingly rely on AI to optimize ad targeting and personalization, and it’s essential to mitigate bias in data and algorithms that could lead to the exclusion or unfair treatment of certain consumer groups.

Equitable AI is also good for business. It supports improved ad performance by delivering more relevant and personalized experiences to a wider range of consumers, ultimately driving a higher return on ad spend and long-term business success. But there are pitfalls: As laws evolve, how do you make equitable AI align with growing regulatory requirements around fairness and data privacy? How do you navigate the tension between optimizing ad performance and prioritizing equity?

Join the ARF’s Women in Analytics Group for a special luncheon on May 21 at the World of Whirlpool in Chicago. Industry leaders will share how they are prioritizing equitable AI to enhance customer engagement, strengthen brand reputation, and build trust with consumers. The luncheon will be held during ARF’s SHOPPER 2025 event, which you are also welcome to attend.