CS Professional · Artificial Intelligence, Data Analytics and Cyber Security - Laws and Practice · Artificial Intelligence - Introduction and Basics
A company uses AI-based automation to process invoices, cutting processing time and errors, but fears job displacement among clerical staff. Which statement best reflects a balanced view of benefits and challenges?
A balanced view is that automation improves efficiency and accuracy while organisations manage displacement through reskilling and transition planning. Human oversight and governance remain necessary, displacement is only one of many AI risks, and efficiency gains can be measured through metrics like processing time and error rates.
- AAutomation improves efficiency and accuracy, while reskilling and workforce transition planning address displacement riskCorrect
- BAutomation removes all need for human oversight, so no governance is required
- CJob displacement is the only recognised risk of AI
- DEfficiency gains from AI are impossible to measure
Explanation
AI automation of repetitive tasks gives speed and accuracy gains, yet it can displace roles, so organisations plan reskilling and transition. Claiming oversight is unnecessary ignores error and accountability risks, and AI has many other risks such as bias and privacy. Efficiency gains can be measured, for example through processing time and error rates.
Did you get it right without looking?
One question tells you little. A timed set on Artificial Intelligence - Introduction and Basics shows your real accuracy, how long you take and where you lose marks.
More Artificial Intelligence - Introduction and Basics questions
- An Indian e-commerce company finds that its recommendation model performs very well on the data used to build it but poorly on fresh custome…
- Aarav Retail uses a generative AI tool that, after being trained on large volumes of text, drafts a vendor agreement when given a prompt. Th…
- A Hyderabad retailer uses facial recognition at store entrances to identify repeat customers and stores the face templates without informing…
- A bank trains a model on historical loan records in which each past application is tagged with the final outcome 'repaid' or 'defaulted'. Th…
- A Pune fintech's credit-scoring model scores 99% accuracy on its training data but only 68% on fresh applicants. Which diagnosis best fits t…
- A hospital chain in Chennai deploys a deep-learning system that recommends treatment plans. Doctors cannot explain to patients why the syste…