The concept of "algorithmic bias" implies that decisions made by AI systems can be unfairly skewed due to _______.
- Data imbalances
- Human intervention
- Prejudice
- Randomness
"Algorithmic bias" refers to the idea that AI systems can produce biased or unfair results because they learn from biased data or face data imbalances. Prejudice or bias in the data can lead to skewed decisions, highlighting the importance of addressing this issue in AI development.
Loading...
Related Quiz
- Which technique is often used to handle scalability in machine learning models?
- How can swarm intelligence be applied in managing autonomous vehicle fleets?
- How would you apply AI to enhance the logistics and supply chain management of a transportation company, ensuring timely deliveries and optimal resource utilization?
- Which of the following is a significant challenge in ensuring accountability in AI systems?
- Which of the following ethical frameworks prioritizes doing the most good for the most number of people in AI decision-making?