Understanding Algorithmic Bias and Inclusive Coding

Joy Buolamwini discusses algorithmic bias, termed 'the coded gaze,' highlighting its potential for widespread discrimination and exclusion. She shares personal experiences with facial recognition software failing to detect her face due to biased training sets. Joy emphasizes the need for diverse training data and inclusive coding practices. She warns of the dangers of unregulated use of biased algorithms in law enforcement and other areas. Joy introduces the 'incoding' movement, advocating for diverse teams and fair coding practices, and invites viewers to join the Algorithmic Justice League to combat bias.

What term does Joy use to describe algorithmic bias?

• Machine bias

• The coded gaze

• Digital shadow

• Algorithmic lens

Why did Joy wear a white mask in front of the webcam?

• To perform a theatrical act

• To hide her identity

• To be detected by facial recognition software

• To test the camera's color detection

What is a key factor in the failure of facial recognition software to detect diverse faces?

• Insufficient lighting

• Non-diverse training sets

• Lack of advanced technology

• High cost of software

What is a potential consequence of algorithmic bias in law enforcement?

• Faster crime resolution

• Increased crime rates

• Higher police salaries

• Misidentification of suspects

What does Cathy O'Neil refer to as 'Weapons of Math Destruction'?

• Educational programs

• Military-grade software

• Destructive algorithms

• Advanced mathematical tools

What is one of the three tenets of the 'incoding' movement?

• Code faster

• Prioritize speed over accuracy

• Use more data

• Who codes matters

What initiative did Joy launch to address algorithmic bias?

• Algorithmic Justice League

• Code for Equality

• Digital Fairness Initiative

• Bias Busters

What can individuals do to help create more inclusive training sets?

• Participate in 'Selfies for Inclusion' campaigns

• Ignore the issue

• Avoid using technology

• Only use proprietary software

What is a critical aspect of creating fair algorithms?

• Diverse development teams

• Speed of development

• Cost-effectiveness

• Minimal data usage

What is the ultimate goal of the 'incoding' movement?

• To reduce technology usage

• To ensure technology benefits everyone

• To create more complex algorithms

• To increase technology profits