Course Content
AI for Journalism presentation by Chiamaka Okafor, Co Founder, MILID Foundation
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AI in Journalism by Rethabile Tsephe, Program Manager, Pan Africa Center for AI Ethics
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Fairness and Bias by Lois Moses, Researcher, Pan Africa Center for AI Ethics
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Regulations by Kingsley Owadara, Founder, Pan Africa Center for AI Ethics
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Decolonizing Information Ecosystems With Ai By Phillip Ayazika, Director Of Programs Pollicy
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Gender And Representation In Ai Driven Journalism By Phillip Ayazika, Director Of Programs Pollicy
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Building sustainable AI in Journalism By Mayowa Ogunrinola
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Prompt Engineering, and Adversarial testing of Generative AI by Arthur Kakande (Theory)
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Prompt Engineering and Adversarial testing of Generative AI by Rashid Kisejjere & Arthur Kakande (Practical)
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Artificial Intelligence in Journalism Workshop Tutorials
About Lesson

Module: Technical Session (Prompt Engineering and Red taming, and Adversarial testing of Generative AI)

 

Facilitator: Arthur Kakande, Data Products Lead, Pollicy

 

Session Description:

 

Desired Learning Outcome:

 

Understand the concept and principles of prompt engineering for generative AI systems.

 

Learn how to design effective and culturally relevant prompts that reflect diverse African narratives and journalistic contexts.

 

Develop practical skills in using prompts to guide AI outputs for content creation, ensuring accuracy, ethical considerations, and inclusivity.

 

Explore techniques for iterating and optimizing prompts to achieve desired journalistic outcomes.

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