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Algorithmic bias
I can describe algorithmic bias and suggest ways to make algorithms fairer.
Lesson 7 of 8
New
New
- Year 10
- AQA
Algorithmic bias
I can describe algorithmic bias and suggest ways to make algorithms fairer.
Lesson details
Key learning points
- Algorithmic bias is when an algorithm produces unfair or discriminatory outcomes that favour some groups over others.
- Using poor quality data in algorithms can lead to inaccurate results, unreliable predictions, or biased outcomes.
- Algorithms can become biased if the design of the algorithm instructions are biased.
- By aiming to understand sources of bias algorithmic, bias can be reduced as much as possible.
Keywords
Bias - to disproportionately favour one side, group, or outcome over others
Discriminatory - to make or show an unjust or prejudicial distinction between different categories of people
Common misconception
Algorithmic bias can be completely eliminated.
It is extremely difficult, maybe impossible, for complex algorithms to be completely free from bias. By aiming to understand sources of bias, actively working to reduce it, and being transparent, algorithmic bias can be reduced as much as possible.
Emphasise that algorithmic bias isn't just technical, it is influenced by the creators of the algorithms.
Teacher tip
Equipment
Licence
This content is © Oak National Academy Limited (2025), licensed on Open Government Licence version 3.0 except where otherwise stated. See Oak's terms & conditions (Collection 2).
Lesson video
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Prior knowledge starter quiz
6 Questions
Q1.What is a data structure?
What is a data structure?
a type of programming language
a step-by-step solution to a problem
a method to debug programs
Q2.What is the main difference between static and dynamic data structures?
What is the main difference between static and dynamic data structures?
Static data structures are faster than dynamic data structures.
Dynamic data structures only store numbers.
Static data structures are used for algorithms, while dynamic ones are not.
Q3.An is an example of a static data structure.
An is an example of a static data structure.
Q4.What is a dynamic data structure?
What is a dynamic data structure?
a data structure that only stores numbers
a data structure that is fixed in size before the program runs
a data structure used only in algorithms
Q5.Why is choosing the correct data structure important?
Why is choosing the correct data structure important?
It ensures the program runs without errors.
It guarantees the program will run faster.
It prevents the need for debugging.
Q6.What is a key advantage of dynamic data structures?
What is a key advantage of dynamic data structures?
They are faster than static data structures.
They are easier to debug.
They store only one data type.
Assessment exit quiz
6 Questions
Q1.What is it called when an algorithm disproportionately favours one side, group or outcome over others?
What is it called when an algorithm disproportionately favours one side, group or outcome over others?
Q2.Match the term to its definition.
Match the term to its definition.
Q3.What can cause algorithmic bias?
What can cause algorithmic bias?
using too much data in the algorithm
running the algorithm on multiple devices
writing the algorithm in a specific programming language
Q4.Which of the following is true about eliminating algorithmic bias?
Which of the following is true about eliminating algorithmic bias?
Algorithmic bias can always be completely eliminated.
Algorithmic bias can be fixed by using any type of data.
Algorithmic bias is not a real issue in algorithms.
Q5.What is one way to reduce algorithmic bias?
What is one way to reduce algorithmic bias?
Ignore the sources of bias.
Avoid using algorithms entirely.
Simplify the algorithm into fewer steps.
Q6.Place these steps in order for reducing algorithmic bias.
Place these steps in order for reducing algorithmic bias.
