ChatGPT and DALL-E: Sell Your Creative Thinking with AI - Limitation 3: Output Can Be Plagiarized and Biased

ChatGPT and DALL-E: Sell Your Creative Thinking with AI - Limitation 3: Output Can Be Plagiarized and Biased

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

Created by

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The video tutorial discusses the importance of understanding the source of content to avoid infringement issues, especially in the context of deep learning algorithms that may inadvertently produce outputs resembling existing works. It highlights a case involving Getty Images to illustrate potential pitfalls. The tutorial advises using plagiarism detectors and reverse image searches to safeguard against plagiarism. It also emphasizes the need to recognize and correct biases in AI systems to prevent perpetuating them.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a potential risk of using AI-generated content without verifying its source?

Improved creativity

Infringement on protected works

Faster content creation

Enhanced accuracy

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the Getty Images case, what was a notable issue with the AI-generated content?

It was too colorful

It was too simplistic

It was too abstract

It included a recognizable logo

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What tool is recommended for checking plagiarism in written content?

Microsoft Word

Adobe Acrobat

Grammarly

Photoshop

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can you check for plagiarism in visual content?

Using a spell checker

Conducting a reverse image search

Using a grammar checker

Reading the content aloud

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is it important to identify and correct biases in AI systems?

To increase system speed

To ensure fair and unbiased outputs

To reduce system costs

To enhance user interface