Topics to be Addressed

Topics to be Addressed

⦿ The Global Regulatory Patchwork: How to navigate the diverging approaches to AI regulation in key markets like the EU (AI Act), the US, and Africa, and their direct impact on broadcasting.

⦿ Algorithmic Bias and Fairness: What are the compliance risks associated with using AI for news curation and content promotion, and how can broadcasters audit their algorithms for impartiality and fairness?

⦿ Data Privacy in the AI Era: Ensuring that AI-driven audience analytics and addressable advertising models remain compliant with evolving data protection laws like GDPR.

⦿ Liability for AI-Generated Content: Who is legally responsible when generative AI creates defamatory, inaccurate, or copyrighted material? Exploring new legal precedents and risk mitigation strategies.

⦿ Automated Compliance Monitoring: Can AI serve as a compliance tool itself, automatically flagging advertising, content, and scheduling for adherence to local broadcast codes and standards?

⦿ Transparency and Explainability: What are the emerging legal requirements for broadcasters to explain how their AI systems make decisions, particularly in politically sensitive or news-related contexts?

⦿ Future-Proofing Your Compliance Strategy: Practical steps and frameworks for developing an internal AI governance policy that anticipates future regulations and fosters ethical innovation.