Lilly Tech Systems
AI Ethics for Marketers
Navigate the ethical complexities of AI-powered marketing. Learn to identify bias in targeting, avoid manipulation and dark patterns, ensure data privacy compliance, and build transparent, trustworthy marketing practices that respect consumers.
Your Learning Path
Follow these lessons in order, or jump to any topic that interests you.
1. Introduction
Why AI ethics matters for marketing: the responsibilities that come with AI-powered persuasion at scale.
2. Bias in Targeting
How AI targeting systems can perpetuate and amplify societal biases, and techniques for detecting and mitigating them.
3. Manipulation Risks
Dark patterns, persuasion engineering, emotional exploitation, and the line between effective marketing and manipulation.
4. Data Privacy
GDPR, CCPA, and global privacy regulations as they apply to AI marketing. Consent, data minimization, and user rights.
5. Transparency
Building consumer trust through transparent AI usage: disclosures, explainability, and honest marketing communication.
6. Best Practices
Building an ethical AI marketing framework: governance structures, audit processes, and organizational accountability.
What You'll Learn
By the end of this course, you'll be able to:
Detect Bias
Identify and measure algorithmic bias in targeting, segmentation, and ad delivery systems that may discriminate against protected groups.
Protect Privacy
Implement GDPR and CCPA-compliant AI marketing practices with proper consent management and data handling procedures.
Avoid Dark Patterns
Recognize and eliminate manipulative design patterns in AI-driven marketing experiences that exploit cognitive biases.
Build Trust
Create transparent, honest AI marketing practices that build long-term consumer trust and brand reputation.