Gorilvantexam
AI, legacy, ethics—India focus
Clear answers to common questions about digital legacy, AI, and data privacy in India.
Each response aims for transparency and practical guidance—nothing hidden or oversold.
Frequently asked questions on AI, digital legacy, and privacy
The wrong way: gloss over questions, or give vague answers. This page circles back to the tough spots. Each response aims to clarify—not just what, but why. No jargon. No promises that can't be kept. Every answer reflects current practice and Indian law.
Digital legacy is often misunderstood as just keeping data. The reality: it involves ongoing rights, evolving technology, and family or legal access. We revisit these questions as standards shift, so expect answers that reflect both current regulations and practical realities.
AI ethics isn't a checklist. It's a recurring process. Consent,
transparency, and accountability get reviewed at each turn. As new dilemmas
appear, the team updates responses to keep pace with technology and
expectations.
Managing sensitive data is never a one-time task. Privacy settings, user control, and legal requirements must be checked and rechecked. Each FAQ here considers these moving parts, so users can make informed decisions.
FAQ
1
What is a digital legacy and what does it cover?
- A digital legacy includes online accounts, files, and digital records.
- It covers photos, emails, documents, and social media.
- Who controls access is set by local law and service policies.
2
How does consent work for digital legacy and AI systems?
- Consent means ongoing, informed control over personal data.
- In India, consent can be withdrawn or modified at any time.
- AI systems must follow user choices as law and ethics evolve.
3
How is sensitive data protected after a user’s lifetime?
- Sensitive data is encrypted and reviewed before access.
- Access requires proper verification and clear records.
- Family, legal heirs, or appointed agents may request access under certain rules.
4
How are AI decisions made transparent for digital legacies?
- AI decisions should be explainable, not hidden in complex code.
- Each step is logged for transparency.
- Users or their agents can request review of decisions affecting their digital legacy.