AI biases

AI biases are unintended and unfair outcomes that result from the way AI systems are trained or designed. These biases can arise from biased data, algorithms, or human oversight, leading to discriminatory or inaccurate results.

What are the limitations or drawbacks of AI?

AI has several limitations and drawbacks that include biased decision-making, lack of emotional intelligence, dependency on data availability, job displacement, ethical concerns, and high costs. These limitations highlight the need for cautious implementation, continuous monitoring, and human oversight.

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