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Pie&AI Madrid: Ethics in Credit Scoring Algorithms

Authored by Gorka Bengochea

Mathematics, Computers

Professional Development

Used 1+ times

Pie&AI Madrid: Ethics in Credit Scoring Algorithms
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6 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Currently, in the financial industry, real-time ML-driven decisions are used...

Almost never

Just by some companies

It has become a standard in the last few years

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Who is the author of the “Interpretable Machine Learning” book?

Cristoph Molnar

David M. Blei

Andrej Karpathy

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The company cannot use gender to feed the ML model. Which features should be removed?

Just the ‘gender’ feature

All features with significant correlation with the gender

None of the above

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Interpretability approaches:

Cannot explain non-linear relations

Don’t fully grasp the model complexity

Don’t work for deep learning models

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which one is a popular interpretability technique:

LEMI

LIEM

LIME

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The predicted probability of a binary classifier correlates with the confidence of the output to a higher degree...

On areas within the feature space with low density of samples

On areas within the feature space with high density of samples

None of the above

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