Africa-Press – Angola. Generative AI tools like ChatGPT offer unprecedented access to information and content creation, yet their effectiveness hinges critically on user expertise.
While marketed as democratizing technology, these systems risk widening knowledge gaps when users lack domain understanding or critical evaluation skills.
Effective prompting requires clear articulation of audience, purpose, and context skills many novices lack. Domain experts leverage AI as a productivity multiplier by refining queries, challenging outputs, and applying real-world judgment.
In contrast, uninformed users risk accepting confident but inaccurate responses, as AI replicates biases and errors from training data without discernment.
Historical parallels exist: Early computers became “glorified typewriters” for those unfamiliar with their analytical potential. Similarly, surface-level AI use for basic editing or summaries misses transformative opportunities.
The emerging “AI aptitude divide” threatens under-resourced communities where training lags, potentially turning equalizing tools into inequality accelerators.
Solutions must prioritize AI literacy alongside access. Educational institutions and workplaces should teach critical evaluation, structured prompting, and ethical application framing AI as collaborative tools requiring human oversight. Without foundational knowledge, users risk being misled faster, not empowered.
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