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Traditional AI systems are primarily used to analyze data and make predictions, while generative AI goes a step further by creating new data similar to its training data. State True or False.

Select one:
- True
- False

One of the challenges in using generative AI is the potential for bias in the generated content, which can arise from the biases present in the training data. State True or False.

Select one:
- True
- False

AI image generators utilize trained artificial neural networks to create images from scratch. State True or False.

Select one:
- True
- False

Answer :

Final answer:

Generative AI creates new data similar to its training data, while traditional AI is focused on analysis and prediction, making the first statement true. Bias in generative AI can stem from the training data, leading to potentially misleading content, which makes the second statement true. AI image generators employ neural networks to create images from scratch, confirming that the third statement is also true.


Explanation:

Understanding Generative AI and Its Implications


The statement that traditional AI systems are primarily used to analyze data and make predictions, while generative AI creates new data similar to its training data, is True. Traditional AI typically focuses on analyzing existing datasets to make predictions or decisions based on patterns found within that data. In contrast, generative AI has the capability to produce new, similar content, such as text, images, or music, which resembles the original training data.


Additionally, the claim regarding the potential for bias in generative AI content due to training data biases is also True. Bias can manifest in the generated content if the training data contains biases, leading to the reinforcement of stereotypes or the generation of misleading information. This poses serious ethical challenges in various applications, including media and political campaigning, where AI-generated content could misrepresent facts or produce harmful narratives.


Finally, yes, AI image generators utilize trained artificial neural networks to create images from scratch, which is True. These systems, like DALL-E, analyze vast amounts of images and their descriptions to learn how to construct entirely new images based on textual inputs. They can imitate different styles and genres, amplifying creative possibilities in arts and design.


Learn more about Generative AI here:

https://brainly.com/question/51291316


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