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Research Methodology (MESIGP470425)

Research Methodology (MESIGP470425)

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Negativity bias, in the context of the document, is:

A model that incorrectly flags good outcomes as bad

A necessary part of a thorough risk assessment

A report or presentation that focuses so much on risks and flaws that it distorts the overall reality

The human tendency to remember negative experiences more than positive ones

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Why is diverse peer review recommended as a mitigation strategy?

It ensures that everyone on the team agrees with the conclusions

It speeds up the process of finalizing a report

It is a formality required by most companies

It helps identify biases that an individual or a homogenous team might be blind to

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Which of the following is the best example of the "blinding" technique described in the text?

A data scientist removes all outliers from a dataset before training a model

A company decides not to collect demographic data from its users to protect their privacy

A manager asks two separate teams to label the same dataset to see if they agree

A hiring manager reviews resumes with the names and university affiliations removed

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What is a "bottom-line up front" (BLUF) approach to communication?

Hiding negative results in the middle of a report

Saving the most important finding for the end of the presentation for dramatic effect

Focusing only on the positive aspects of the results

Stating the most critical finding first

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What is framing bias?

A model's failure to perform equally well for all subgroups

Presenting data in a way that manipulates the audience's interpretation and conclusion

Removing important data points during the curation phase

Lying about data or results

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What is evaluation bias?

Using a single performance metric that hides poor performance on specific subgroups

Intentionally misrepresenting results

Making inconsistent choices when cleaning data

Focusing only on the failures of a model

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A key way to uncover evaluation bias is to:

Trust the single, top-line performance metric

Analyze the model's performance across different, meaningful subgroups

Ask the original development team to double-check their work

Use a larger and more complex model

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The "Communication Phase" is the stage where:

The model is built and trained

Findings are translated into reports and presentations for an audience

The model is deployed into a live environment

Data is collected and curated

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The text states that a model "will not only learn these biases—it will codify them into a seemingly objective system and, in many cases, magnify them." This refers to which type of bias?

Algorithmic Bias

Survivorship Bias

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How is bias defined in a technical context?

A systematic, directional error that consistently shifts results

A momentary fluctuation that can be fixed with more data

A moral failing or prejudice

A random, unpredictable error in measurement

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