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Generative Artificial Intelligence (GenAI)

Context:

The Central government issued an advisory to all intermediaries and generative AI platforms using artificial intelligence (AI) models, software or algorithms.

Relevance:

GS III: Science and Technology

Dimensions of the Article:

  1. Government of India Introduces Unprecedented Regulations on AI Models: A Global First
  2. Understanding Generative Artificial Intelligence (AI)
  3. Impact of Generative AI on 2024 Elections: Navigating Challenges and Opportunities

Government of India Introduces Unprecedented Regulations on AI Models: A Global First

  • The Ministry of Electronics and Information Technology (MeitY) issues an advisory mandating explicit government permission for the deployment of AI models, large-language models (LLMs), and generative AI on the Indian internet.
  • Aimed at preventing bias, discrimination, and safeguarding electoral integrity, the advisory instructs platforms to ensure responsible use of algorithms.
  • Prompted by recent concerns, notably a user claiming bias in Google’s AI model Gemini, accusing it of being “malicious” in responses related to political figures.
  • Google responds by acknowledging the issues, pledging to address them, and temporarily halting Gemini’s image generation.

Understanding Generative Artificial Intelligence (AI)

  • Definition: Generative AI refers to advanced deep-learning models capable of autonomously producing statistically probable outputs when given raw data.
  • Foundation Models: Powered by large AI models, known as foundation models, which exhibit multitasking capabilities, handling tasks like summarization, Q&A, and classification.
  • Adaptability: Foundation models require minimal training and can be customized for specific use cases with minimal example data.
How Generative AI Operates
  • Learning Patterns: Utilizes Machine Learning to understand patterns and relationships within a dataset of human-generated content.
  • Content Generation: Applies learned patterns to create new content resembling the human-generated dataset.
  • Training Approach: Commonly employs supervised learning, receiving a set of human-created content with corresponding labels to generate similar labeled content.
Applications of Generative AI
  • Enhanced Customer Interactions: Improves chat and search experiences, providing insightful responses.
  • Data Exploration: Processes vast unstructured data through conversational interfaces and summarizations.
  • Task Automation: Assists in repetitive tasks such as proposal replies, multilingual marketing content localization, and contract compliance checks.

Impact of Generative AI on 2024 Elections: Navigating Challenges and Opportunities

Global Landscape of High-Stakes Elections
  • Scope: Over 50 countries, including India, the US, the UK, Indonesia, Russia, Taiwan, and South Africa, face crucial elections in 2024.
  • Persistent Challenge: Prevailing issue of fake news amplifies as AI advancements facilitate its creation and dissemination.
AI-Related Risks According to World Economic Forum (WEF)
  • Top 10 Risks: AI-derived misinformation and its potential for societal polarization recognized as a significant risk in the WEF 2024 Global Risk Report.
  • Amplified Disinformation: Generative AI tools empower individuals with limited technical expertise to spread fake content across diverse languages and digital platforms.
Challenges Posed by AI in Elections
  • Deep-Fake Generation: AI’s capability to create deep-fakes and generate voice-cloned audio poses substantial challenges for governments and organizations.
  • Intimate Persuasion: AI, proficient in language mastery, can establish intimate connections to personalize messages, influencing individuals’ worldviews.
Political Use of AI in India
  • Rural Outreach: Politicians in India leverage AI tools, like real-time translation, to connect with rural populations.
  • Example: Prime Minister Narendra Modi’s speech translated from Hindi to Tamil using AI during a December 2023 event in Uttar Pradesh.
Ethical Dilemmas Surrounding AI
  • Dual Perceptions: AI’s potential is viewed with both alarm and optimism, sparking debates on its responsible use and potential misuse in elections and beyond.

-Source: The Hindu


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