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: Adversarial testing of Generative AI

 

Facilitator: Rashid Kisejjere & Arthur Kakande, Pollicy

 

Session Description:

 

Desired Learning Outcome:

 

Understand the purpose and process of adversarial testing to identify vulnerabilities and biases in generative AI systems.

 

Learn how to design and execute tests to assess AI-generated content for misinformation, bias, and ethical concerns.

 

Explore examples of adversarial scenarios relevant to African journalism, including cultural misrepresentations and gender biases.

 

Gain hands-on experience in applying adversarial testing techniques to evaluate and improve the reliability and fairness of AI outputs in journalism.

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