Generative AI

#GS-03 Science and Technology, Cyber Security

Generative AI utilises machine learning and artificial intelligence to create new forms of media, such as text, audio, video, and animation.
Generative AI works by training a model on a large dataset and then that model is used to generate new, previously unseen content that has similarities to the training data.
Generative AI requires more processing power than traditional AI, and hence is more expensive to implement.
The ultimate purpose of developing a generative AI model is to generate synthetic data that has the ability to pass a Turing Test.

A Turing test is an evaluation created by British Mathematician Alan Turing in 1950.
It is used to determine whether or not someone can tell if they are communicating with a computer program after five minutes of conversation.
Turing’s test is carried out through an activity called the Imitation Game and can evaluate a program’s natural language processing (NLP), natural language generation (NLG) and natural language understanding (NLU) capabilities.

Generative AI can be used to craft sales, marketing, and brand messaging.
It can be used by Agencies to generate personalised social media posts, blogs, and marketing text and video copies by providing a text prompt to a Generative AI service.
Generative AI can be used by lawyers to produce a pertinent, specific, and actionable summary by sifting through numerous legal research materials.
Generative AI can help in accelerating the discovery of new research, drafting and synthesising documents and reports.
Development and simulation of complex engineering, design, and architecture can be done with the help of Generative AI.

Generative AI can adversely impact society through misuse, perpetuating biases, exclusion, and discrimination.
This is because if the models are trained on biased, non-inclusive data, they will generate biased outputs.
This can result in offensive or discriminatory language, demeaning and degrading imagery, and prejudicial content.
Generative AI systems can be used to create media for malicious purposes, such as deepfakes, disinformation, and propaganda.
The acquisition and consent model governing the training data and intellectual property issues make it difficult to hold anyone accountable for any harm resulting from its use.

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