CS Professional · Artificial Intelligence, Data Analytics and Cyber Security - Laws and Practice · Artificial Intelligence - Introduction and Basics
A company secretary is explaining to the board the difference between narrow AI and artificial general intelligence (AGI). Which statement is correct?
Narrow AI handles specific tasks such as image recognition or translation, while artificial general intelligence is a theoretical system able to perform a broad range of intellectual tasks like a human. Today's commercial tools are narrow AI; AGI has not been achieved.
- ANarrow AI performs specific tasks such as image recognition, whereas AGI would be able to perform a wide range of intellectual tasks like a humanCorrect
- BNarrow AI is a hypothetical system that can reason across all domains, while AGI performs only a single task
- CBoth narrow AI and AGI are widely deployed today in commercial chatbots and translation tools
- DNarrow AI cannot use data, whereas AGI depends entirely on data
Explanation
Narrow AI is designed for defined tasks and is what exists commercially today. AGI is a theoretical concept of human-level general capability. The option reversing the definitions is wrong because it assigns the hypothetical nature to narrow AI.
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
- Which of the following is the best example of a task historically used to illustrate the Turing Test in the introduction to AI?
- An Indian e-commerce firm trains a recommendation model on customer purchase histories. Which statement correctly identifies a data-protecti…
- A company uses a deep neural network with many hidden layers to approve credit limits. A customer asks why her limit was reduced, and the co…
- A model for detecting fraudulent UPI transactions scores almost perfectly on its training data but performs poorly on fresh transactions it …
- A lender in Pune uses a machine-learning model to screen loan applications. Audit finds that the model rejects applicants from certain PIN c…
- A Delhi e-commerce firm uses a chatbot that understands a customer's typed complaint, detects its intent and replies in sentences. Which bra…