AIF-C01 Question 25
Single answerA healthcare company wants to implement a solution to determine whether a patient has a specific disease based on a set of symptoms. The company requires the solution to provide a definitive 'yes' or 'no' outcome, as regulatory compliance prohibits probabilistic predictions. Additionally, the project has strict budget constraints. Should the company use an AI/ML solution for this requirement?
- A
Yes, because AI/ML solutions can analyze complex patterns in the data and provide a decision.
- B
Yes, because AI/ML solutions are cost-effective for all types of decision-making.
- C
No, because AI/ML solutions provide probabilistic predictions, not definitive outcomes.
- D
No, because AI/ML solutions are expensive to implement and may not align with the strict budget constraints.
Show answer and explanation
Correct answer: C
Explanation
AI/ML solutions are suited for tasks where probabilistic predictions (e.g., likelihoods or confidence scores) are acceptable. In this case, the company requires a definitive outcome ('yes' or 'no'), which AI/ML does not inherently provide. Additionally, cost constraints further make AI/ML less viable, but the primary issue is the probabilistic nature of AI/ML predictions.
- A. Incorrect.
AI/ML solutions can analyze complex patterns, but they typically provide probabilistic predictions, not definitive 'yes' or 'no' outcomes as required in this scenario.
- B. Incorrect.
AI/ML solutions can be cost-effective in certain scenarios, but they are not universally the best choice for all decision-making tasks, especially when strict budget or outcome requirements exist.
- C. Correct.
This is correct. AI/ML solutions provide probabilistic outcomes (e.g., percentages or confidence scores), which do not align with the requirement for a definitive 'yes' or 'no' answer.
- D. Incorrect.
While cost is a valid consideration, the primary reason AI/ML is unsuitable here is the need for a specific, non-probabilistic outcome, not just the budget limitations.