Key Challenges Faced by AI Systems

One of the key challenges that AI systems face is the potential for bias. Bias can be introduced in a variety of ways, ranging from biased training data to biased algorithms. Fortunately, there are several strategies that can be employed to mitigate AI bias.

• Use diverse and representative training data
• Regularly test and evaluate AI systems for bias
• Increase transparency and accountability in the development and deployment of AI systems

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