Final answer:
The most commonly cited principles in AI-based ethical frameworks are human control and autonomy, fairness and non-discrimination, and transparency and explainability.
Step-by-step explanation:
The most commonly cited principles in AI-based ethical frameworks are human control and autonomy, fairness and non-discrimination, and transparency and explainability.
Human control and autonomy is important in ensuring that AI systems are designed in a way that humans have the ability to make decisions and intervene when necessary. Fairness and non-discrimination are essential to prevent biases and ensure that AI systems are unbiased and treat all individuals equally. Transparency and explainability contribute to building trust in AI systems by making the decision-making processes of AI systems understandable and accountable.