AI-900 Question 62
Select 4You are developing an AI-powered recruitment platform that uses natural language processing (NLP) to analyze resumes and recommend candidates for a job. How can you ensure inclusiveness in your AI solution?
- A
Ensure the training data includes resumes from diverse demographic groups.
- B
Train the model to prioritize resumes from a specific demographic to address underrepresentation.
- C
Regularly test the model for bias in its recommendations.
- D
Implement mechanisms to allow candidates to appeal or provide feedback about the AI's recommendations.
- E
Exclude demographic data such as gender and ethnicity from both the training data and AI decision-making process.
Show answer and explanation
Correct answers: A, C, D, E
Explanation
An inclusive AI solution ensures fairness and avoids bias by using diverse training data, testing for bias, and implementing mechanisms to incorporate user feedback. Additionally, excluding sensitive demographic data from AI decision-making reduces the risk of unfair treatment based on protected attributes. These practices align with ethical principles for developing AI systems that are fair and accessible to all users.
- A. Correct.
Including diverse demographic groups in the training data helps the AI learn patterns that are representative of all populations, reducing the risk of bias.
- B. Incorrect.
Training the model to prioritize resumes from a specific demographic introduces bias and violates inclusiveness principles, even if done with good intentions.
- C. Correct.
Testing the model for bias ensures it is not making unfair recommendations and helps identify and mitigate potential issues during deployment.
- D. Correct.
Allowing candidates to appeal or provide feedback promotes transparency and inclusiveness, giving users a voice in the AI's decision-making process.
- E. Correct.
Excluding demographic data such as gender and ethnicity helps prevent the AI from making decisions based on sensitive attributes, supporting fairness and inclusiveness.