34.5.1. Algorithmic Bias in Automation

Try these first

1. 1.

   What is algorithmic bias?

   Hint

   Think about how data can influence outcomes.

2. 2.

   Why is diversity in datasets important?

   Hint

   What happens if the dataset is only one type of data?

3. 3.

   What is the main cause of algorithmic bias?

   • A) Poor AI design
   • B) Biased training data
   • C) Lack of funding

   Hint

   Think about what the AI learns from.

4. 4.

   True or False: Algorithmic bias can result in discriminatory outcomes.

   • True
   • False

   Hint

   Consider the implications of AI making decisions.

5. 5.

   Analyze a case where biased algorithmic decisions led to negative outcomes. Discuss the implications for ethical AI development.

   Hint

   Look for recent news stories or academic papers discussing bias in algorithms.

6. 6.

   Propose a strategy to audit AI systems for bias and discuss how transparency would improve public trust.

   Hint

   Consider how existing companies handle transparency and what practices they follow.