CSEET · Economic and Business Environment · AI and Business Environment
In discussions on AI ethics, the term 'algorithmic bias' most accurately refers to which of the following?
Algorithmic bias means systematic and repeatable errors in an AI system that lead to unfair outcomes for particular groups of people. It usually stems from skewed training data or flawed design choices, and it is a fairness issue rather than a matter of speed, vendor choice or encryption.
- ASystematic and repeatable errors in an AI system that produce unfair outcomes for certain groupsCorrect
- BThe time an algorithm takes to process a large dataset
- CThe preference of a company to use only in-house software
- DThe encryption of data stored by an AI model
Explanation
Algorithmic bias arises when training data or design choices cause an AI system to treat certain groups unfairly in a consistent way. The other options describe processing speed, vendor preference and data security, which are unrelated to fairness.
Did you get it right without looking?
One question tells you little. A timed set on AI and Business Environment shows your real accuracy, how long you take and where you lose marks.
More AI and Business Environment questions
- A bank deploys a system that reads thousands of scanned loan application forms and converts the printed and handwritten text into editable d…
- A bank uses a system that is trained on thousands of past loan records and then improves its prediction of defaults as new repayment data ar…
- A manufacturing firm in Chennai automates quality inspection with AI vision systems, cutting defects and costs, but 200 inspectors become re…
- Which platform was launched by the Government of India to make non-personal datasets available to Indian startups and researchers for AI mod…
- Which Government of India programme, approved by the Union Cabinet in March 2024 with an outlay of over Rs 10,000 crore, aims to build natio…
- A bank's AI loan-approval model rejects a higher share of applicants from one locality, because the historical data it learned from reflecte…