#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.
Uses of Generative AI
- 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.