CSC323 Society and Ethics in Information Technology

Society and Ethics in Information TechnologyUnit 611 min read

Virtual Reality, Emerging Tech & Ethical Frontiers

Unit 6 of Society and Ethics in Information Technology explores virtual reality (VR) systems, emerging technologies (AR, MR, AI, blockchain), their societal impacts, and ethical dilemmas—with real-world applications in Nepal (eSewa, NTC) and global tech (Meta, Nvidia). Covers definitions, classifications, case studies,

Core Concepts: Virtual Reality and Beyond

What is Virtual Reality?

Definition: Virtual Reality (VR) is a computer-generated, immersive 3D environment that replaces the real world, creating a sense of presence through sensory feedback (visual, auditory, haptic). It requires specialized hardware like headsets (e.g., Meta Quest, HTC Vive) and input devices (controllers, motion trackers).

graph TD
    A["Virtual Reality (VR)"] --> B["Fully immersive\n- Blocks real world\n- Headset required"]
    A --> C["Augmented Reality (AR)\n- Overlays digital on real\n- No headset needed"]
    A --> D["Mixed Reality (MR)\n- Merges real + digital\n- Interactive objects"]
    A --> E["Extended Reality (XR)\n- Umbrella term\n- VR + AR + MR"]
    B --> F["Example: Meta Quest"]
    C --> G["Example: Pokémon GO"]
    D --> H["Example: Microsoft HoloLens"]
    E --> I["Example: Meta Quest 3"]

Key Components:

  1. Hardware: Head-mounted displays (HMDs), sensors, haptic gloves.
  2. Software: 3D engines (Unity, Unreal), physics simulations.
  3. Networking: Cloud rendering for high-end VR (e.g., Nvidia CloudXR).

Types of Virtual Reality

Type Description Example Use Case Ethical Concern
Non-Immersive VR 2D/3D projections on screens (e.g., Google Cardboard). Low-cost training simulations. Limited sensory engagement → ethical risks?
Semi-Immersive VR CAVEs (Cave Automatic Virtual Environments) or large screens. Medical training (e.g., NTC’s telemedicine). Privacy in shared spaces.
Fully Immersive VR Headsets with 360° tracking (e.g., Meta Quest). Gaming, therapy (e.g., PTSD treatment). Addiction, isolation, or misinformation.
Distributed VR Multi-user VR (e.g., VRChat, Horizon Worlds). Remote collaboration (e.g., Daraz’s VR stores). Data privacy, digital harassment.
011.2522.533.7545Non-Immersive VR15Semi-Immersive VR20Fully Immersive VR45Distributed VR20
Estimated global VR usage distribution by type (2023, Statista).

Worked Example: eSewa’s VR Potential

  • Scenario: eSewa could use VR to train agents in customer service via simulated interactions (e.g., handling fraud complaints).
  • How VR Helps:
    • Immersive Role-Play: Agents practice in a virtual bank lobby with AI customers.
    • Metrics: Track stress levels (via eye-tracking) and response times.
  • Ethical Check:
    • Consent: Agents must opt-in to biometric data collection.
    • Bias: Ensure VR scenarios reflect diverse customer profiles (e.g., rural vs. urban users).

Emerging Technologies and Ethical Dilemmas

1. Augmented Reality (AR) and Mixed Reality (MR)

AR overlays digital content onto the real world (e.g., Pokémon GO, IKEA Place app). MR allows real-world objects to interact with digital elements (e.g., Microsoft HoloLens in surgery).

sequenceDiagram
    participant User
    participant ARApp
    participant RealWorld
    User->>ARApp: Points camera at table (e.g., via Pathao’s delivery tracker)
    ARApp->>RealWorld: Overlays delivery route in real-time
    RealWorld-->>User: Shows estimated arrival time

Real-World Example: NTC’s AR for Infrastructure

  • Use Case: NTC uses AR to visualize fiber-optic cable routes before construction.
  • Ethical Issue: Transparency – Citizens must know how AR data is collected (e.g., drone surveys) and used for urban planning.

2. Artificial Intelligence in VR/AR

Applications:

  • AI Avatars: Meta’s AI companions (e.g., "Digital Humans" for customer support).
  • Adaptive Content: VR games that adjust difficulty based on user emotions (via facial recognition).

Ethical Risks:

  • Deepfake VR: AI-generated fake personas in VR meetings (e.g., impersonating a CEO in a virtual boardroom).
  • Bias in Training Data: If VR AI is trained on Nepali urban data, it may fail for rural users (e.g., Daraz’s AR product placement).

Worked Example: WhatsApp’s AR Filters

  • How It Works: WhatsApp uses AR to apply filters (e.g., "Dog Face") via phone cameras.
  • Ethical Concern:
    • Privacy: Filters may process facial data without explicit consent.
    • Mental Health: Overuse of AR filters could distort self-perception (e.g., unrealistic beauty standards).

3. Blockchain in Virtual Worlds

Use Cases:

  • NFTs in VR: Virtual real estate (e.g., Decentraland) or digital art (e.g., NEPSE’s blockchain pilot for share certificates).
  • Secure Transactions: Pathao’s blockchain-based tipping system for drivers.

Ethical Challenges:

  • Environmental Cost: Bitcoin-like energy use for VR blockchain transactions.
  • Accessibility: High-end VR hardware (e.g., Meta Quest Pro) excludes low-income users, widening the digital divide.

4. Brain-Computer Interfaces (BCIs)

Definition: BCIs (e.g., Neuralink, CTRL-Labs) translate brain signals into digital actions (e.g., typing via thought). Ethical Issues:

  • Autonomy: Could BCIs be hacked to control users’ actions? (e.g., a VR ad forcing a purchase).
  • Consent: Users may not fully understand the risks of permanent brain implants.
Neuralink (Elon Musk)Utah ArrayInvasive BCIsEEG Headsets (e.g., Emotiv)fNIRS (Functional Near-Infrared Spectroscopy)Non-Invasive BCIsBrain-Computer Interface (BCI)
Classification of BCIs by invasiveness and application.

Real-World Tie-In: Ncell’s Future Tech

  • Scenario: Ncell could use BCIs to let users navigate menus via eye movements (for disabled customers).
  • Ethical Safeguards Needed:
    • Data Ownership: Who owns the brainwave data? (Ncell or the user?)
    • Equity: Ensure BCIs are affordable for Nepali users.

Societal Impacts of VR/AR

Positive Effects (45%)Negative Effects (30%)Neutral/Uncertain (25%)
Perceived societal impact of VR/AR technologies (hypothetical survey data).

Positive Effects

  1. Education:
    • Example: TU’s VR labs for medical students to practice surgeries.
    • Benefit: Reduces reliance on animal testing (ethical gain).
  2. Therapy:
    • Example: VR exposure therapy for phobias (e.g., flying in Ncell’s employee wellness programs).
  3. Workplace Training:
    • Example: Daraz’s VR warehouses to train staff on order fulfillment.

Negative Effects

Risk Example Mitigation Strategy
Addiction VR gaming replacing real social interactions. Time limits, parental controls (e.g., Meta’s VR usage alerts).
Desensitization Violent VR games normalizing aggression. Age ratings, content warnings.
Job Displacement AI/AR replacing jobs (e.g., NTC technicians). Reskilling programs (e.g., TU’s IT certifications).
Surveillance VR tracking users’ eye movements (e.g., ads). GDPR-like laws for Nepal’s digital space.

Ethical Frameworks for Emerging Tech

Use these theories to analyze VR/AR dilemmas:

Theory Application to VR Example
Utilitarianism Maximize overall benefit (e.g., VR for rural healthcare access). NTC’s AR for telemedicine in remote areas.
Deontological Ethics Follow rules (e.g., GDPR for VR data privacy). Blocking minors from adult VR content.
Virtue Ethics Develop moral character (e.g., empathy in VR therapy). Designing VR games that teach kindness (e.g., "Empathy Odyssey").
Rights-Based Ethics Protect user rights (e.g., right to disconnect from VR). Laws against mandatory VR workplace monitoring.

Worked Example: YouTube’s VR Ethics

  • Dilemma: YouTube VR allows 360° live streams (e.g., protests, accidents).
  • Analysis:
    • Utilitarian: Informing global audiences → good.
    • Deontological: Violates privacy if individuals are recorded without consent.
    • Solution: YouTube’s "VR Content Policy" requires consent for sensitive footage.

In the Real World

  1. eSewa’s VR Banking

    • Tech Used: Semi-immersive VR for fraud training.
    • How It Works: Agents practice spotting scams in a virtual bank hall.
    • Ethical Twist: Ensures agents aren’t overworked by monitoring VR session lengths.
  2. Pathao’s AR Delivery Tracking

    • Tech Used: AR overlays on driver phones to show real-time delivery routes.
    • Impact: Reduces fuel waste (eco-friendly) but raises privacy concerns if GPS is logged without user knowledge.
  3. NEPSE’s Blockchain + VR for Investors

    • Tech Used: VR meetings for shareholder discussions + blockchain for secure voting.
    • Ethical Issue: Wealthy investors may dominate VR discussions, sidelining small shareholders.

Exam Tip

How This Unit Is Tested:

  1. Definitions: Expect questions like "Differentiate between AR, VR, and MR with examples." (Use the table above.)
  2. Case Studies: Analyze ethical dilemmas in Nepali contexts (e.g., "How would you apply utilitarianism to NTC’s AR infrastructure project?").
  3. Comparisons: Compare two technologies (e.g., "VR vs. AR in education: advantages and ethical risks").
  4. Short Answers: Define terms like:
    • Presence (sense of "being there" in VR).
    • Digital divide (gap between those with/without access to VR/AR).
  5. Scenario-Based: "A Daraz employee proposes using VR for employee monitoring. Discuss the ethical concerns and possible solutions."

Top 3 Exam Traps to Avoid:

  • Vague Examples: Don’t say "VR is used in gaming" without specifying how (e.g., "Meta Quest’s haptic feedback for sword fights").
  • Ignoring Nepal: Always tie global tech to local issues (e.g., "How would Pathao’s AR affect Kathmandu’s traffic?").
  • Overlooking Hardware: VR ethics aren’t just about software—mention hardware limitations (e.g., "High-end headsets exclude rural users").

Key Formula for Full Marks:

Ethical Analysis Template

  1. Define the technology (e.g., "AR is...").
  2. Describe a real-world use case (e.g., "NTC’s AR for fiber routes").
  3. List 2 ethical risks (e.g., privacy, accessibility).
  4. Apply 1 ethical theory (e.g., "Utilitarianism suggests...").
  5. Propose a solution (e.g., "GDPR-like laws for Nepal").

Based on the TU BSc CSIT syllabus for Society and Ethics in Information Technology (CSC323), unit 6.

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