Artificial Intelligence (AI) presents biases that can be dangerous for society because machines learn from biased data. These biases can have significant social consequences, such as hiring discrimination and image mislabeling. However, AI is not inherently bad, rather proper data selection and corrective measures are required to address these biases. It is essential to have diverse teams in AI development and work towards responsible AI, applying explainability and meta-learning techniques.
