Computing Bias

[zachpeltz]

Popcorn Hack 1:
An example of explicit data would be B, providing your name, age, and preferences when creating an account. The user directly provides the data to their Netflix account which is explicit data provided.

Popcorn Hack 2:
An example of data bias would also be B, a system is trained on a dataset where certain groups such as people with darker skin tones are underrepresented. Data bias is when the data itself includes bias by incomplete information which would be the case for this question.

Popcorn Hack 3:
An example of unintentional bias would be a hiring manager favoring candidates who graduated from the same college because even if it has no bearing on their suitability for the role it still is a form of affinity bias.

Short answer question:

• The difference between implicit and explicit data is how the data is collected and whether users are aware if they are providing it

Explicit Data:

• Data that is intentionally and knowingly provided by a user
• Ex: Filling out a form with your name, email, and age on a website
• The user knows they are giving specific information and submits it

Implicit Data:

• Data that is collected indirectly, often based on user behavior, without them actively providing it
• Ex: Tracking which products a user views on an online store/ how long they stay on the page for
• This data is gathered to infer preferences of the user without the user explicitly stating them