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The Coded Gaze: Bias in Artificial Intelligence

The Coded Gaze: Bias in Artificial Intelligence

Assessment

Interactive Video

•

Business, Information Technology (IT), Architecture

•

University

•

Practice Problem

•

Hard

Created by

Wayground Content

FREE Resource

Joy Buolamwini discusses algorithmic bias in AI, focusing on facial recognition systems. She introduces the concept of the coded gaze, highlighting biases in technology shaped by those in power. Her research, including the Gender Shades study, reveals significant disparities in AI accuracy across gender and skin type. Buolamwini emphasizes the importance of intersectional analysis and ethical AI development, advocating for transparency and responsibility through initiatives like the Safe Face Pledge.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What term does Joy Buolamwini use to describe the reflection of biases in technology?

The algorithmic view

The digital lens

The coded gaze

The tech perspective

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What was one of the issues Joy faced with facial recognition systems?

They recognized her as a different ethnicity

They identified her as a celebrity

They failed to detect her face

They labeled her as a child

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a potential consequence of algorithmic bias in facial recognition mentioned in the transcript?

Improved social interactions

Better security measures

Misidentification as a criminal

Increased job opportunities

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does Joy Buolamwini refer to as 'power shadows'?

The influence of powerful tech companies

The hidden biases in coding practices

The dominance of certain demographics in data sets

The shadowy nature of AI algorithms

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What was the focus of Joy's MIT thesis?

The ethical implications of AI

The accuracy of facial analysis systems

The impact of AI on job markets

The development of new AI algorithms

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which group showed perfect performance in the Gender Shades study?

Pale males

Lighter males

Darker males

Darker females

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What was a key takeaway from the Gender Shades study?

Single axis analysis is enough

Intersectionality is irrelevant

Aggregate data is sufficient

Intersectionality matters

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