Telecommunications leader MTN Ghana hosted an online training session on August 24, 2026, themed “AI Training for Media and CSOs,” aimed at equipping journalists and Civil Society Organizations (CSOs) with practical skills to leverage artificial intelligence responsibly while maintaining editorial integrity and data privacy.
The session featured expert facilitators including Kwame Manu, Senior Manager of Digital Analytics and Monetization at MTN Ghana; Samuel Adranyi, CEO and Founder of Afrilogic Solutions; and Nehemia Yelu Attigah, CEO of HatuaTech.
Data Privacy and Ethics First
A central focus of the session was data security and confidentiality.
Facilitators emphasized strict rules regarding data handling, warning participants that a standard privacy setting is not a blanket permission to upload confidential material.
Key auditing steps shared for AI tool usage included verifying content storage durations, checking if user data is utilized for model training, locating opt-out options, and recognizing when human operators might review conversations.
Structured Content Production and Verification
The workshop introduced a 6-stage AI content production chain designed to boost productivity without sacrificing truthfulness.
This includes:
- Ingest: Gathering recordings, briefs, or primary documents.
- Extract: Pulling key facts, quotes, and angles.
- Draft: Producing initial versions in target formats.
- Refine: Sharpening language, restructuring, and trimming excess text.
- Verify: A mandatory non-negotiable step involving human verification of quotes, data, and facts.
- Re-format: Generating multi-platform outputs such as web articles, radio scripts, tweet threads, WhatsApp broadcasts, newsletter blurbs, and podcast scripts.
Facilitators stressed that human verification remains essential to catch potential AI “hallucinations” or inaccuracies, particularly when processing complex financial and government reporting figures, such as Bank of Ghana reports or national budget data.
Session Takeaways
Participants were guided through four evaluation criteria to apply after working with AI tools:
Identifying what the AI got wrong, determining the domain knowledge required to spot errors, deciding what workflows to reuse, and establishing the evidence required before acting on AI outputs.
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The initiative forms part of MTN Ghana’s ongoing efforts to support digital literacy, media capacity building, and ethical technology adoption across the country.
