W'Bank urges ethical AI to curb misinformation

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W'Bank urges ethical AI to curb misinformation

The World Bank emphasizes the need for ethical and inclusive AI practices to prevent misinformation and biases, especially in vulnerable economies. Christine Zhenwei Qiang, the Global Director for Digital Transformation, highlighted the risks of poor-quality data leading to distorted AI outcomes. She stressed the importance of diverse data in AI applications, particularly in recruitment, to ensure fairness and accuracy.

Qiang also pointed out the necessity of robust data governance frameworks to protect user privacy. Despite the challenges posed by AI, she noted its potential to enhance economic development, education, and job creation. Governments are urged to invest in workforce development to prepare for the evolving job landscape shaped by AI.

• World Bank calls for ethical AI to prevent misinformation and biases.

• AI's potential in economic development requires robust governance and diverse data.

Key AI Terms Mentioned in this Article

Algorithmic Bias

Algorithmic bias refers to the systematic and unfair discrimination in AI models, often stemming from historical data that reflects societal prejudices.

Data Governance

Data governance involves establishing frameworks to manage data privacy, security, and user consent, which is crucial for ethical AI use.

Deepfakes

Deepfakes are AI-generated synthetic media that can mislead audiences, highlighting the importance of quality data in AI systems.

Companies Mentioned in this Article

World Bank

The World Bank focuses on promoting ethical AI practices to support economic development and mitigate misinformation.

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