GS Paper 3
Direction: We had already covered Generative AI previously; the points given here are only the unique points that we didn’t cover previously.
What is Generative AI:
- Generative Artificial Intelligence refers to the capability of artificial intelligence-enabled machines to use existing text, audio files, or images to create new content.
- The software uses complex machine learning models to predict the next word based on previous word sequences, or the next image based on words describing previous images. “Large language model” – LLMs began at Google Brain in 2017, where they were initially used for the translation of words while preserving context.
- Since then, large language and text-to-image models have proliferated at leading tech firms including Google (BERT and LaMDA), Facebook (OPT-175B, BlenderBot), and OpenAI, a nonprofit in which Microsoft is the dominant investor (GPT-3 for text, DALL-E2 for images, and Whisper for speech).
Benefits of Generative AI:
- Automated content generation
- Improved content quality
- Increased content variety
- Personalized content
Generative Adversarial Network:
A generative adversarial network (GAN) is a machine learning (ML) model in which two neural networks compete with each other to become more accurate in their predictions. GANs typically run unsupervised and use a cooperative zero-sum game framework to learn.
Ethical concerns associated with Generative AI:
- Bias and Discrimination: AI models can perpetuate and amplify biases in their training data, leading to discriminatory outcomes and unjust decisions.
- Responsibility and accountability
- Privacy: Generative AI models have the potential to collect and generate vast amounts of personal data, which can raise privacy concerns.
- Ownership and control
- Fairness and transparency: AI models can make decisions that lack transparency and fairness.
- Job displacement
- Misuse: AI models can be used for malicious purposes, such as creating fake news or deep fakes, or spreading hate speech.
- Top of Form
Indian Initiatives for Generative AI:
- The Government has published the National Strategy for Artificial Intelligence with the objective of developing an ecosystem for the research and adoption of Artificial Intelligence
- Subsequently with a vision to ‘Make AI in India and Make AI work for India’, MeitY has approved the implementation of the ‘National Program on Artificial Intelligence’ for the development of AI-based solutions and ensure responsible and transformational use of #AI for All.
- The Department of Science & Technology is implementing the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS).
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