qualitative

Four Pillars for Responsible AI Marketing

  • ARF; MSI

As AI becomes more embedded in marketing, organizations face ethical and regulatory questions alongside implementation challenges. Drawing on a synthesis of 35 high-quality qualitative research sources, this MSI working paper proposes a “Responsible AI Marketing Framework,” centered on four pillars: transparency by design, consent architecture, algorithmic accountability and consumer empowerment.

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AI Biases We Can’t See

  • ARF

While we have all heard about biases in AI LLMs regarding gender and race, we wondered what other biases might be lurking beneath the surface that we can’t readily see. On April 9, we dove into a study from Galileo Research & Strategy Consultancy about Americans’ Health & Wellness behaviors and attitudes. Attendees discovered what was learned and its implications for using AI in research studies.

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