Algorithmic Bias

What organization does Deborah Raji work with?

• Algorithmic Justice League

• Machine Learning Institute

• Data Ethics Foundation

• AI Fairness Coalition

What is the main focus of Deborah Raji's work?

• Developing new AI algorithms

• Analyzing systems and their impact on society

• Creating unbiased datasets

• Programming machine learning models

According to Deborah, what is bias primarily about?

• Mathematical errors in algorithms

• Hardware limitations in AI systems

• Prioritizing a specific perspective over others

• The speed of data processing

What factors shape the development of algorithms and datasets, according to the video?

• Government regulations

• User feedback

• Developers' worldview, values, and understanding

• Random data selection

What does algorithmic bias primarily stem from?

• Intentional discrimination

• Outdated technology

• Algorithms built from a specific perspective that might not represent everyone

• Lack of computing power

What does Deborah say about the decision-making process in machine learning development?

• It's a straightforward, bias-free process

• It involves many small decisions that can introduce bias

• It's fully automated and objective

• It only requires one major decision

Which aspect of data is mentioned as a crucial factor in determining algorithmic outcomes?

• Data storage methods

• Data encryption

• Data selection, sourcing, and labeling

• Data transmission speed

What type of system did Deborah's team try to build in the example she provided?

• Facial recognition system

• Voice recognition system

• Hair type classification system

• Skin tone analysis system

What issue did Deborah encounter with the hair classification system?

• The system was too slow

• Her hair type wasn't represented in the dataset

• The system couldn't process curly hair

• The categories were too broad

According to Deborah, what can be a result of exclusion in AI systems?

• Faster processing times

• More accurate results

• The system not working for or representing certain individuals

• Reduced development costs