When introducing AI technologies to countries with limited resources, several ethical considerations arise, particularly regarding exploitation and surveillance.

1. Exploitation:

One major concern is the potential for AI technologies to exacerbate existing inequalities and exploit vulnerable populations. For example, in healthcare, AI-powered diagnostic tools may be inaccessible to marginalized communities, leading to disparities in healthcare outcomes. Additionally, AI systems used for labor automation could result in job losses for low-skilled workers without adequate support or alternative employment opportunities.

2. Surveillance:

AI technologies often rely on vast amounts of data, raising concerns about privacy and surveillance. In countries with limited resources, there may be inadequate legal frameworks and safeguards to protect individuals' data rights. For instance, facial recognition systems deployed in public spaces could lead to mass surveillance and infringements on civil liberties.

3. Bias and discrimination:

AI algorithms are trained on historical data, which can perpetuate existing biases and discrimination. In countries with limited resources, biased AI systems may disproportionately affect marginalized communities. For example, if AI algorithms used for criminal justice are trained on biased datasets, they may lead to unfair outcomes and reinforce systemic biases.

4. Lack of transparency and accountability:

Introducing AI technologies without sufficient transparency and accountability measures can be problematic. In countries with limited resources, there may be a lack of regulatory frameworks and oversight mechanisms to ensure the responsible development and deployment of AI systems. This can result in opaque decision-making processes and limited recourse for individuals affected by AI-driven decisions.

References:

• UN Human Rights: AI and Poverty
• National Library of Medicine: Ethical Considerations in Artificial Intelligence
• Amnesty International: AI and Human Rights