Ethics in AI-Driven Public Relations

Introduction to AI in Public Relations

• Overview of AI technologies and their applications in PR (e.g., data analysis, content generation, chatbots).
• Ethical considerations unique to AI-driven PR (e.g., misinformation, bias, and data privacy).
• Case studies of AI use (both successful and controversial).

Key Ethical Principles in AI

• Fundamental ethical principles: transparency, accountability, and fairness.
• Identifying and mitigating biases in AI algorithms.
• Practical examples: ethical dilemmas in AI-powered communication tools.

Regulatory and Societal Perspectives

• Overview of global regulations on AI ethics and their implications for PR professionals.
• The impact of AI-driven PR practices on public trust and societal norms.
• Frameworks for aligning AI practices with ethical standards (e.g., AI ethics guidelines).

Best Practices and Future Trends

• Strategies for ethical decision-making in AI-powered PR campaigns.
• Emerging trends in AI and their potential ethical challenges in PR.
• Developing an ethical AI policy for PR firms.
• Group discussion: Crafting ethical responses to real-world PR scenarios involving AI.

1ST BATCH: Tuesday, January 13, 2026 — Friday, January 16, 2026.

2ND BATCH: Tuesday, May 5, 2026 — Friday, May 8, 2026.

3RD BATCH: Tuesday, September 1, 2026 — Friday, September 4, 2026.

The training methodology integrates lectures, interactive discussions, collaborative group exercises, and
illustrative examples. Participants will acquire a blend of theoretical insights and hands-on practical
experience, emphasizing the application of learned techniques. This approach ensures that attendees return
to their professional environments equipped with both the competence and self-assurance to effectively
implement the acquired skills in their responsibilities.