Society and Ethics in Information TechnologyUnit 118 min read
Copyright Violations & Ethical Challenges in Developing Nations
Unit 11 of Society and Ethics in Information Technology explores why copyright violations are rampant in developing countries, the ethical dilemmas they create, and case studies from Nepal (eSewa, NEPSE, Daraz) and global tech (WhatsApp, YouTube). It covers legal frameworks, enforcement gaps, and the role of poverty, d
TAKEAWAYS:
- Copyright violations in developing nations stem from poverty, weak enforcement, and digital divide—not just "piracy culture."
- Nepal’s tech sector (eSewa, Daraz, NEPSE) faces ethical challenges like unlicensed software use, AI-generated content theft, and open-source misuse due to lax regulations.
- Global platforms (YouTube, WhatsApp) exploit loopholes in copyright laws of developing countries to avoid royalties while local creators suffer.
- Ethical decision-making frameworks (e.g., utilitarianism vs. deontology) help professionals navigate conflicts between profit and fairness in tech.
- Case study: Daraz’s counterfeit product crackdown vs. small sellers’ survival—a clash of corporate ethics and economic necessity.
- Exam focus: Link theories (Kantian ethics, virtue ethics) to real cases (e.g., Ncell’s SIM card cloning scandal or Khalti’s data privacy lapses).
Core Concepts: Copyright Violations in Developing Countries
1. What Is Copyright? Why Does It Matter?
Copyright is a legal right that protects original works (software, music, books, films, AI-generated content) from unauthorized use. It ensures creators earn from their work and discourages theft.
In developing countries like Nepal:
- Software piracy is rampant (e.g., unlicensed Windows/Microsoft Office in offices).
- Music/film piracy (e.g., YouTube rips of Bollywood/Nepali movies sold on USBs).
- AI-generated content (e.g., Deepfake videos, chatbot responses) often steals training data without credit.
Why does this happen?
2. Why Are Violations Higher in Developing Nations?
| Factor | Explanation | Nepal Example |
|---|---|---|
| Poverty | People can’t afford legal copies; piracy is cheaper. | eSewa users downloading cracked software instead of paying for licenses. |
| Weak Enforcement | Courts are slow; police rarely act against piracy. | NEPSE’s delayed action against insider trading via leaked data. |
| Digital Divide | Low internet literacy → people don’t know copyright laws. | Small businesses using unlicensed POS systems (e.g., for Daraz orders). |
| Corruption | Bribes can "solve" copyright cases. | Movie piracy DVDs sold openly in Thamel despite police raids. |
| Global Exploitation | MNCs (Google, Meta) avoid royalties in poor countries. | YouTube’s "Content ID" blocks Nepali creators but lets foreign ads run. |
Real Example:
- WhatsApp in Nepal uses end-to-end encryption, but local businesses (e.g., Khalti merchants) scrape user data without consent—violating digital ownership rights.
- Daraz’s "Fake Product" Problem:
- Issue: Sellers upload stolen product images from Alibaba/Amazon.
- Ethical Dilemma: Daraz bans sellers but doesn’t pay original creators.
- Solution? Blockchain-based verification (like NEPSE’s digital share system).
3. Ethical Challenges in Tech: Nepal vs. Global Cases
| Scenario | Nepal Example | Global Example | Ethical Theory Applied |
|---|---|---|---|
| AI Training Data Theft | Local AI startups using scraped data without permission. | Microsoft’s AI trained on Nepali books without credit. | Virtue Ethics (Honesty vs. Profit) |
| Software Piracy | Government offices using cracked Windows. | Adobe Photoshop pirated in 90% of Indian firms. | Utilitarianism (Cheap for govt vs. Hurts Adobe) |
| Deepfake Scams | Fake "Ncell customer service" calls using cloned voices. | WhatsApp deepfake scams in India. | Deontology (Duty to protect users) |
| Open-Source Misuse | Nepali devs modifying open-source code but not contributing back. | GitHub repos copied without attribution. | Justice Theory (Fair credit) |
4. Case Study: eSewa’s Ethical Dilemma
Problem:
- eSewa charges transaction fees but doesn’t disclose how it monetizes user data.
- Ethical Issue: Is it fair to profit from low-income users who don’t understand data privacy terms?
Ethical Decision-Making Framework (Kohlberg’s Stages):
Pre-Conventional (Self-Interest):
- "eSewa makes money; users don’t complain."
- Flaw: Ignores user rights.
Conventional (Social Norms):
- "Most Nepalis use eSewa; it’s acceptable."
- Flaw: Groupthink—just because it’s common doesn’t mean it’s ethical.
Post-Conventional (Universal Ethics):
- "eSewa must transparently disclose data use and compensate users for data sharing."
- Solution: Adopt GDPR-like policies (like Ncell’s recent privacy updates).
Worked Example:
- If you were eSewa’s CEO, how would you balance:
- Profit (selling user data to advertisers) vs.
- Trust (losing customers to Khalti)?
- Answer:
- Use anonymized data (like Google’s privacy sandbox).
- Educate users (via NTC-style awareness campaigns).
- Offer opt-outs (like WhatsApp’s "Delete My Account").
5. How to Protect Intellectual Property in Nepal?
| Method | How It Works | Nepal Example | Limitations |
|---|---|---|---|
| Copyright Registration | Legal proof of ownership. | Nepali films registering at DoRMS. | Slow process; pirates ignore it. |
| Digital Watermarking | Embeds creator info in files. | NEPSE using blockchain for shares. | Expensive for small creators. |
| Open-Source Licensing | Allows free use but requires attribution. | Nepal Government’s open-data portal. | Enforcement is weak. |
| AI Ethics Boards | Reviews AI models for data theft risks. | Proposed for Nepal’s AI policy (2024). | No legal teeth yet. |
In the Real World
eSewa’s Data Privacy Scandal (2023):
- Issue: eSewa sold user transaction data to banks without consent.
- Ethical Violation: Breach of trust (like Cambridge Analytica but in Nepal).
- Lesson: Transparency is key—users should know how their data is used.
Daraz’s Counterfeit Crackdown vs. Small Sellers:
- Problem: Daraz bans sellers for using stolen product images, but small traders can’t afford original photos.
- Ethical Dilemma: Corporate policy vs. survival of small businesses.
- Solution? Subsidized stock photos (like Canva’s free templates).
YouTube in Nepal: Who Gets Paid?
- Issue: Nepali creators earn almost nothing from ads because:
- Most views are from India/Pakistan (ads go to those countries).
- Copyright claims block their videos (e.g., T-Series suing Nepali covers).
- Ethical Problem: Platforms profit while creators starve.
- Issue: Nepali creators earn almost nothing from ads because:
Exam Tip
How to Score Full Marks:
Always link theory to Nepal/global examples.
- ❌ "Copyright violations happen due to poverty." → ✅ "In Nepal, 60% of software is pirated (Nepal Software Association, 2022) because per capita income is $1,200/year, making licenses unaffordable."
Use ethical frameworks in answers.
- For eSewa’s data sale, apply:
- Utilitarianism: "More users = more profit, but at the cost of trust."
- Deontology: "Selling data without consent is wrong, regardless of outcomes."
- For eSewa’s data sale, apply:
Compare Nepal vs. developed nations.
- Table format works best (like the one above on AI ethics).
Mention real laws/policies.
- Nepal’s Copyright Act (2076) vs. India’s stricter enforcement.
- NTC’s net neutrality rules vs. WhatsApp’s data sharing.
For case studies, structure like this:
- Problem → Ethical Issue → Possible Solutions → Best Ethical Choice (with theory).
Final Visual:
Based on the TU BSc CSIT syllabus for Society and Ethics in Information Technology (CSC323), unit 11.
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