AIF-C01 Question 159
Select 3A healthcare company wants to develop an AI system to assist doctors in diagnosing diseases from medical images. The company must ensure that the system is responsible and trustworthy. Which of the following are critical considerations when developing such a system?
- A
Ensuring the training data is diverse and representative of different patient demographics
- B
Using only proprietary algorithms to avoid external scrutiny of the AI system
- C
Providing explanations for AI predictions to help doctors understand the decisions
- D
Implementing a feedback mechanism for doctors to report incorrect or unclear predictions
- E
Optimizing the system solely for speed and performance, regardless of accuracy
Show answer and explanation
Correct answers: A, C, D
Explanation
Developing responsible AI systems requires addressing fairness, transparency, and accountability. Ensuring diverse training data, providing interpretable outputs, and implementing feedback mechanisms are all critical steps in creating an AI system that is trustworthy, ethical, and reliable in high-stakes environments like healthcare.
- A. Correct.
Ensuring diverse and representative training data is crucial to avoid bias in the AI system and to ensure it performs well across different patient demographics.
- B. Incorrect.
Using only proprietary algorithms without external scrutiny undermines transparency and trust, which are important for responsible AI systems.
- C. Correct.
Providing explanations for AI predictions fosters transparency and helps doctors trust and validate the system’s recommendations.
- D. Correct.
Implementing a feedback mechanism allows continuous improvement of the AI system and ensures that it remains reliable and accountable.
- E. Incorrect.
Optimizing solely for speed and performance without considering accuracy can lead to unreliable diagnoses, which is unethical and irresponsible in a healthcare context.