1:Organizations can implement several measures to ensure accountability and ethical governance in their use of AI:

 * Establish clear AI ethics principles: Define the organization’s values and guidelines for developing and using AI responsibly. This framework should address issues like fairness, transparency, and accountability.

 * Build diverse and interdisciplinary AI teams: Involve experts from various backgrounds, including ethicists, data scientists, and engineers, to identify and mitigate potential biases in AI development.

 * Implement human oversight: Ensure that humans are involved in the design, development, and deployment of AI systems, with the ability to override AI decisions when necessary.

 * Promote transparency in AI models: Disclose the capabilities and limitations of AI systems to stakeholders and explain how they arrive at decisions.

 * Actively identify and mitigate bias: Regularly audit AI datasets and algorithms for potential biases and take steps to address them.

 * Foster a culture of accountability: Create an environment where developers and users are held responsible for the ethical implications of AI systems.

 * Establish safeguards to prevent misuse: Implement security measures to prevent unauthorized access or manipulation of AI systems.