Reporting Bias (2)

As you can see, humans’ perceptions are deeply flawed and our imperfection may trickle down into the systems we build. By acknowledging such biases, however, we can optimize the AI systems we build and make them more fair and objective.

With the rapid proliferation of advanced technology, more and more systems are now equipped with artificial intelligence and machine learning algorithms.

However, can we objectively say that these systems are truly fair and unbiased?

• Reporting bias refers to people’s (conscious and unconscious) tendencies to suppress the information they report.
• Example: Many amazon products have more 5-star and 1-star reviews than 2, 3, or 4-star reviews because...

• Implicit bias refers to people’s unconscious tendencies to make assumptions/associate stereotypes with others.
• Example: An engineer who is often bitten by dogs believes that dogs are more aggressive than cats, even though that

• Framing bias refers to people’s tendency to be influenced based on how information is presented.
• Example: An engineer who sees a dark and dull website for a product believes that the product must have poor sales, ig...

• Selection Bias (selecting data not representative of the entire population)
• Reporting Bias (people’s tendency to underreport information)
• Implicit Bias (people’s unconscious tendencies to assume)
• Framing Bias ...

• Selection bias refers to the selection of training/testing data that is not representative of the entire population.
• Example: An engineer chooses the first 100 volunteers who responded to his email as his training d...