Participants will be able to:
- Assess organisational risks related to AI adoption, including algorithmic bias, opacity, labour displacement, and technology-facilitated gender-based violence
- Identify how AI systems may reproduce gender inequality in hiring, promotion, content generation, and audience targeting — grounded in empirical research from African media contexts
- Develop a newsroom-specific Gender-AI Integration Roadmap using structured diagnostic tools and governance templates
- Establish governance mechanisms for ethical, transparent, and accountable AI use, informed by international frameworks and locally grounded standards
- Design reskilling and leadership pathways to ensure women’s meaningful participation in AI decision-making at editorial and institutional levels
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Training Approach
The course combines multiple pedagogical modes to maximise practical application and peer learning:
• Self-paced modules with short video lectures, practical guides, and structured readings drawn from current AI governance literature and African media research
• Real-world case studies from African and Global South contexts, including Quanta’s own research on digital media ecosystems, information manipulation, and climate discourse across the continent
• Interactive templates and policy drafting exercises designed for immediate institutional application
• Weekly live sessions focused on peer learning, organisational problem-solving, and expert Q&A
• Capstone project: a draft AI governance framework tailored to each participant’s newsroom, reviewed by Quanta’s team of data scientists, media scholars, and governance specialists
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Week One: AI in the Newsroom as a Governance Challenge
• Mapping AI use across editorial workflows: content generation, audience analytics, moderation, and distribution
• Risk assessment frameworks for AI adoption in resource-constrained newsroom environments
• Organisational AI maturity diagnostic tool (provided as interactive template)
• Case study: Lessons from Project Maai’s computational analysis of climate content across 35,000+ global outlets
Week Two: Gender, Power, and Algorithmic Decision-Making
• Gender bias in automated content generation, recommendation algorithms, and analytics pipelines
• Technology-Facilitated Gender-Based Violence (TFGBV) risks in AI-mediated newsroom environments
• Case studies from African media contexts, including computational analysis of gendered discourse patterns in Southern African news media
• Practical session: Auditing an AI tool for gender bias using structured evaluation frameworks
• Drafting internal AI governance policies: accountability structures, transparency requirements, and ethical standards
• Audit and accountability mechanisms: how to evaluate AI procurement, vendor claims, and algorithmic outputs
• Ethical procurement and vendor assessment using structured evaluation guides
• Drawing on Quanta Intelligence’s experience developing the University of Eswatini’s Generative AI Guidelines as a governance case study
