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• Engaging in public discussions around the social and ethical implications. Foster open discussions with the public
about the benefits and risks of Generative AI. Collaborate with policymakers, ethicists, and other stakeholders to
develop guidelines and regulations that ensure AI is used in socially beneficial ways.
All these points ensure the responsible use of Generative AI. By emphasising ethics, creating trust, limiting
negative repercussions, defining legislation, and encouraging innovation, we maximise generative AI’s potential
and use it in ways that benefit society.
At a Glance
• AI-generated images are created using AI algorithms.
• Artificial intelligence shows inconsistencies if observed closely, although it tries to piece together its creations from
the original work.
• AI-generated images may include elements that seem unrealistic or improbable, such as impossible perspectives,
mismatched colors, or objects that defy physics.
• In a supervised learning model, a labelled dataset is given to the machine.
• A labelled dataset is the information which is tagged with identifiers of data.
• In Generative Modelling there is no labelled dataset, and the model can generate structured data from the Random
Noise dataset.
• A "random noise dataset" typically refers to a collection of data points or samples where each data point is generated
randomly.
• Generative Artificial Intelligence also called Gen AI, refers to the algorithms that generate new data that resembles
human-generated content, such as audio, code, images, text, simulations, and videos.
• GANs are neural networks that work to produce fresh data.
• Variational Autoencoders (VAEs) produces fresh data, learn the distribution of the data and then sample from it.
Exercise
SECTION A (Objective Type Questions)
uiz
A. Tick ( ) the correct option.
1. ………………………. are unpredictable fluctuations and disarranged data which makes it impossible to identify target
patterns or relationships in it.
a. Deepfake b. Random Noise Dataset
c. Gen AI d. Discriminative Modelling
2. Which of the following is not a generative AI tool?
a. Galileo b. CodeGPT
c. Magic AI d. Vista AI
3. ………………………. are neural networks that work to produce fresh data.
a. Deepfake b. Gen AI
c. GANs d. VAE
4. What is a primary advantage of using Autoencoders?
a. Generating realistic videos b. Creating noise-free images
c. Handling sequential data d. Generating new text
212 Artificial Intelligence Play (Ver 1.0)-IX

