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While **artificial intelligence (AI)** made significant strides in 2020, it also faced its share of challenges and limitations. One of the biggest challenges was the **issue of data bias**. AI models are trained on data, and if the data reflects biases present in society, the AI models will likely perpetuate those biases. horowitz net worth This can lead to unfair or discriminatory outcomes in areas like hiring, loan applications, and criminal justice. Addressing data bias requires careful data preparation, the use of bias detection tools, and the development of fairer AI algorithms. Another significant challenge was the **lack of interpretability**. Many AI models, particularly deep learning models, are
