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TPM and Artificial Intelligence (AI) Ethics

Two main importances of maintaining human involvement:

Contextual understanding and cultural sensitivity :

Human involvement is crucial for interpreting data and AI outputs within the complex socio-cultural contexts of African communities. AI systems, no matter how advanced, may struggle to fully grasp the nuanced cultural norms, local knowledge, and traditional practices that are essential for effective development interventions. Human oversight ensures that AI-powered TPM respects and incorporates these cultural sensitivities, preventing misinterpretations that could lead to flawed or potentially harmful interventions

Ethical decision-making and bias mitigation:

Humans play a vital role in identifying and addressing potential biases in AI algorithms, ensuring fair and equitable monitoring across diverse populations. Human oversight provides crucial moral judgment in situations where AI may struggle with nuanced ethical considerations, particularly in sensitive development contexts. Maintain human involvement, organizations ensure that AI-powered TPM aligns with ethical standards and organizational values, while actively working to detect and mitigate biases before they cause harm.