Addressing AI Bias and Security

  1. Diverse Training Data: Use diverse and representative datasets to train AI models.
  2. Bias Detection: Regularly audit AI systems to identify and mitigate biases.
  3. Transparent Algorithms: Ensure transparency in AI algorithms to understand decision-making processes.