Centre weighs curbs on AI autonomy, consent rules for deepfakes under new law | Current Affairs | Vision IAS

Upgrade to Premium Today

Start Now
MENU
Home
Quick Links

High-quality MCQs and Mains Answer Writing to sharpen skills and reinforce learning every day.

Watch explainer and thematic concept-building videos under initiatives like Deep Dive, Master Classes, etc., on important UPSC topics.

A short, intensive, and exam-focused programme, insights from the Economic Survey, Union Budget, and UPSC current affairs.

ESC

Daily News Summary

Get concise and efficient summaries of key articles from prominent newspapers. Our daily news digest ensures quick reading and easy understanding, helping you stay informed about important events and developments without spending hours going through full articles. Perfect for focused and timely updates.

News Summary

Sun Mon Tue Wed Thu Fri Sat

Centre weighs curbs on AI autonomy, consent rules for deepfakes under new law

22 Jul 2026
2 min

Exploring a Consent-Based Framework for AI Regulation

The Ministry of Electronics and Information Technology (MeitY) is considering a new regulatory framework for artificial intelligence (AI) in India. This framework aims to address issues around synthetically-generated content, agentic AI autonomy, and regulatory sandboxes for high-risk AI applications.

Synthetically-Generated Content

  • Synthetically-generated content refers to digital media created or altered by AI rather than humans.
  • MeitY is proposing a consent-based framework for such content to address concerns about its proliferation, particularly in the form of deepfakes.

Agentic AI Autonomy

  • Agentic AI refers to systems with autonomy to plan and execute multi-step actions with minimal human supervision.
  • The government is considering regulations on the autonomy and data retention capabilities of such AI systems.

Regulatory Sandboxes

  • MeitY plans to consult RBI and SEBI to create regulatory sandboxes for AI applications, focusing on finance and public services.

AI Liability Concerns

  • The liability of AI platforms and developers for content generated by AI models is a major discussion point.
  • Unlike social media platforms that enjoy safe harbor, AI models' liability is complex due to their editorial nature and training on internet content.

Data Protection and AI

  • The Digital Personal Data Protection Act, 2023, addresses privacy issues but raises questions about consent and data ownership in AI.
  • Data voluntarily made public by individuals is exempt from protection under the data protection law, posing challenges for AI content scraping.

Current Legislative Efforts

  • Though India initially believed existing laws sufficed for AI regulation, recent developments prompted a reconsideration.
  • Past measures include requiring social media platforms to label AI-generated content continuously.

International Influences

  • India is examining Singapore’s governance framework for agentic AI as a potential model.

Explore Related Content

Discover more articles, videos, and terms related to this topic

RELATED VIDEOS

3
News Today (May 01,  2024)

News Today (May 01, 2024)

YouTube HD
Simplified | Seeing is not Believing: The DeepFake Dilemma

Simplified | Seeing is not Believing: The DeepFake Dilemma

YouTube HD
Simplified: Virtual influencers revolutionizing creator marketing

Simplified: Virtual influencers revolutionizing creator marketing

YouTube HD

RELATED TERMS

3

Deepfakes

Synthetically generated or manipulated media, often videos or audio, that depict someone saying or doing something they did not actually say or do, created using AI techniques.

Digital Personal Data Protection Act, 2023

An Indian law that regulates the processing of digital personal data. It outlines the rights of individuals regarding their data and the obligations of data fiduciaries, impacting how data collected under government schemes can be used and shared.

AI Liability

The legal responsibility of AI platforms and developers for the outcomes, content, or actions generated by their AI models. This is a complex area, especially when AI models are trained on vast amounts of internet data and their output can be seen as having an 'editorial nature', unlike traditional safe harbor provisions for platforms.

Title is required. Maximum 500 characters.

Search Notes

Filter Notes

Loading your notes...
Searching your notes...
Loading more notes...
You've reached the end of your notes

No notes yet

Create your first note to get started.

No notes found

Try adjusting your search criteria or clear the search.

Saving...
Saved

Please select a subject.

Referenced Articles

linked

No references added yet