Privacy & Regulation

  • Article

AI Prompt Literacy Generates Value (and Reduces Privacy Concerns)

Interactive prompting of GenAI can yield valuable personalization but may also raise privacy concerns. Enhancing users’ prompt literacy and understanding of how their personal data is used can increase their self-investment and sense of psychological ownership of GenAI results, increasing perceived benefits and privacy value while attenuating perceived privacy risks.

  • Article

A Framework for AI Governance in Marketing

The application of AI to marketing raises not only practical issues about implementation but also ethical and regulatory challenges. Based on a synthesis of existing literature, this Responsible AI Marketing Framework proposes four key pillars to ensure effective AI governance: Transparency by design; Consent architecture; Algorithmic accountability; and Consumer empowerment.

  • Article

How Local Demand Learning Reduces Retail Food Waste

Unsold perishable food waste costs retailers and generates greenhouse gases. New stores face a “cold start” problem of what and how much to stock but can reduce waste by nearly two-thirds within two years. Regulators and investors need to allow for some waste as part of this dynamic learning process.

  • Article

How Insurance Coverage Affects Perceived Medical Risks

Policies like the U.S. Affordable Care Act extend economic access to healthcare but may also change the criteria consumers use to judge the risks and benefits of medical procedures. Extending coverage can signal reduced risk in—and preference for—otherwise high-risk procedures, potentially impacting insurers, healthcare providers and consumers themselves.