The World Bank has urged for stronger safeguards to ensure artificial intelligence (AI) is used ethically and inclusively, warning that unchecked AI could reinforce biases, spread misinformation, and exacerbate inequalities, especially in emerging economies.
Key Concerns About AI Misuse
In a podcast shared on the World Bank’s X (formerly Twitter) platform on Sunday, Christine Zhenwei Qiang, Global Director for Digital Transformation, highlighted both the transformative potential and inherent risks of AI in developing economies.
- Misinformation and Deepfakes
- Qiang stressed that poor-quality data fed into AI models can lead to distorted outcomes and the spread of false information.
- She emphasized that data integrity is crucial because AI systems rely on the quality of the data they are trained on.
- Algorithmic Biases
- AI models often learn from historical data that may reflect societal biases, leading to discriminatory outcomes.
- Qiang highlighted the need for:
- Diverse datasets across demographic groups.
- Algorithmic transparency to explain how AI makes decisions.
- Regular audits to identify and correct unfair biases.
- Privacy and Data Governance
- AI’s reliance on large datasets raises concerns over privacy breaches and data misuse.
- Qiang called for robust data governance frameworks focused on:
- User consent.
- Data security.
- Responsible data usage.
AI’s Potential for Economic Development
Despite these risks, AI presents significant opportunities to drive economic growth and improve living standards:
- Education: Personalized learning and better educational tools.
- Agriculture: AI-powered solutions to boost productivity and modernize the sector.
- Job Creation: New industries and employment opportunities.
Bosun Tijani, Nigeria’s Minister of Communications, Innovation, and Digital Economy, highlighted how AI-enabled applications are making farming more appealing to young Nigerians, showcasing its positive impact on local economies.
AI’s Impact on Employment
Qiang addressed concerns about job displacement, particularly in Africa and South Asia, where youth unemployment remains a major issue.
- While AI may replace some jobs, Qiang emphasized that technological advancements historically create new, better-paying roles.
- Examples:
- Over 60% of U.S. jobs in 2018 did not exist in 1940.
- In India, AI-related skills have been in high demand since 2016.
Call to Action: Preparing for AI’s Future
Qiang urged governments to focus on workforce development by investing in:
- Upskilling and Reskilling programs.
- AI literacy to prepare workers for the jobs of the future.
“The future of AI in emerging markets is promising, but we must ensure its use is ethical, equitable, and inclusive,” she concluded.
By implementing ethical safeguards and investing in human capital, the World Bank believes AI can drive sustainable growth while minimizing risks in the global digital economy.




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