A company is adding AI to its hiring and recruitment process and wants to reduce bias while supporting fair hiring decisions. Which core dimensions of responsible AI should they focus on? (Choose two.)

Fairness is crucial in AI for hiring to ensure that the system does not discriminate against individuals or groups based on protected characteristics like race, gender, or age. Biased data or algorithms can lead to unfair outcomes, so focusing on fairness helps mitigate this risk. Transparency is also vital because it allows the company to understand how the AI system makes its decisions. This includes knowing the data used, the algorithms applied, and the factors influencing recommendations. This understanding helps identify and address potential biases, build trust, and ensure accountability. Tolerance and flexibility are general desirable traits but not core dimensions of responsible AI. Open source refers to software licensing and development models, not a core dimension of responsible AI itself.