UGME AI Session - Year 3

UGME AI Session - Year 3

University

5 Qs

quiz-placeholder

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Round 3

Round 3

University

10 Qs

UGME AI Session - Year 3

UGME AI Session - Year 3

Assessment

Quiz

Information Technology (IT)

University

Hard

Created by

ayesha mansoor

FREE Resource

5 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

  1. Which of the following best describes the role of algorithms in machine learning?

  1. Algorithms are static, pre-defined rules that solve complex problems without requiring additional data.

  1. Algorithms are iterative processes that adapt based on input data to identify patterns and make predictions or decisions.

  1. Algorithms are used exclusively in supervised learning models to map inputs to outputs.

Algorithms generate unbiased results and recognise patterns in datasets.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

  1. Which of the following is NOT typically part of how an image recognition GenAI tool operates?

  1. Feature extraction using convolutional neural networks (CNNs)

  1. Preprocessing input data, such as resizing or normalizing images

  1. Manually labeling each image during real-time classification

  1. Classifying objects using a trained model based on patterns in the data

3.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

  1. A healthcare provider uses a GenAI tool to assist in diagnosis based on patient symptoms and medical history. He asks the GenAI tool to share examples of the diagnosis done by other healthcare providers for similar patient symptoms. The AI generates plausible responses but the links provided to research studies by the GenAI tool are not real. What is the issue that can be identified here? 

  1. Training data bias

  1. Data privacy 

  1. Accountability 

  1. Hallucination 

4.

FILL IN THE BLANK QUESTION

45 sec • 1 pt

  1. ________ ______ is the subfield of AI used in facial recognition software. 

5.

FILL IN THE BLANK QUESTION

45 sec • 1 pt

  1. AI detection tools are __________ for detecting AI-generated content in an assignment.