Human Biases Reflected As Computer Biases
Bias: prejudice in favor of or against a thing, person, or group
What is “computer bias”?
The existence of prejudiced outcomes in the decisions or predictions made by computer systems/algorithms. Bias can be implemented into algorithms because of human biases being intentionally inserted or because of the data utilized being biased.
Explicit Data: Information directly provided by user.
Implicit Data: Infomration that can inferred from explicit data.
Based on either explicit/implicit data that has been used to train an algorithm, whether intentionally introduced or during the process of training data generation, bias can be created.
A notable example of this is seen in Netflix, where there are is a human factor that drives bias: Netflix exclusives are placed ahead (a show that is a Netflix exclusive means that users will be more likely to stay with Netflix). The bias in this case is Netflix’s prioritzation towards Netflix-produced shows.
Hack 1:
What is another example of a human bias being implemented into an algorithm?
Answer: In Amazon some products can be paid to be featured more becoming more likely to be purchased.
Reducing Bias
Programmers should take action to reduce bias in algorithms used for computing innovations as a way of combating existing human biases. Softwares need to be unbiased, consider all everything, and reject human bias.
Things to consider when developing programs:
- What are potential sources of bias?
- Is your program enhancing or intentionally excluding?
- Are you receiving feedback from a widespread group of people?
- How could people who differ from you use your developments?
Hack 2:
What is another way a programmer can reduce bias in their softwares?
Answer: A programmer could run test cases with different types of data to see if the program is biased towards a certain type of data.
Types of Bias in Software Development
Biases can be embedded at all levels of software development.
It can be intentional or unintentional. Some software development are made for a certain market and ensure that people of certain places or demographics can use them easily. However, this doesn’t mean that they are trying to exclude.
Examples:
Intentional:
- Games could be geared towards a certain age range (Talking Tom vs Valorant)
- Game concepts
- Music
- Visuals
- WeChat and KakaoTalk
- Almost everyone in China uses WeChat
- KakaoTalk is the Korean version
Unintentional:
- Social media, Facebook vs. instagram
Hack 3:
What are some other examples of intentional and/or unintentional bias in innovations (games, social media, technology, etc.)?
Answer: Disney movies are more biased towards children with familiar figures and happy endings.
Homework
Question 1:
Define “computer bias” in your own words and explain how it can result from intentional or unintentional factors in software development. Give a brief example of this. Explain how programmers can actively work to reduce bias in their algorithms?
Answer: Computer bias is when a computer system or algorithm has a prejudiced outcome. This can result from intentional or unintentional factors in software development. An example of this is when a game is geared towards a certain age range. Programmers can actively work to reduce bias in their algorithms by running test cases with different types of data to see if the program is biased towards a certain type of data.
Question 2:
Briefly describe the two types of bias in software development and provide examples from the gaming industry and social media platforms. How might biases in software design affect user engagement and experiences?
Answer: The two types of bias in software development are intentional and unintentional. An example of intentional bias is when a game is geared towards a certain age range. An example of unintentional bias is when social media platforms are geared towards a certain demographic. Biases in software design might affect user engagement and experiences because it could make the user feel excluded.