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The Bangladesh government released a draft of the National AI Policy, aiming to propel the nation into an era of AI innovation. However, the policy lacks depth compared to established frameworks like the EU's Artificial Intelligence Act. Key areas needing improvement include ensuring AI systems are safe, secure, and free from biases.
AI's susceptibility to errors and biases raises ethical concerns, as seen in examples from Amazon and Twitter. The need for diverse datasets is critical to prevent discrimination in AI applications. Bangladesh's policy must address these gaps to ensure AI benefits all citizens fairly and effectively.
• Bangladesh's AI policy lacks comprehensive guidelines on data diversity.
• AI systems must be safe, secure, and free from biases.
AI refers to systems that can perform tasks typically requiring human intelligence, such as learning and decision-making.
Machine learning is a subset of AI that enables systems to learn from data without explicit programming.
Bias in AI occurs when algorithms produce unfair outcomes due to skewed training data or flawed design.
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Twitter is a social media platform that encountered backlash for biased image-cropping algorithms affecting representation.
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