📋 WAT/Essay Analysis Guide

Should Governments Ban the Use of Facial Recognition Technology in Public Spaces?

🌐 Understanding the Topic’s Importance

Facial recognition technology (FRT) sparks debate at the intersection of technology, ethics, and public safety. For B-school students, it offers insights into regulatory frameworks, technology ethics, and business opportunities.

🕒 Effective Planning and Writing

• Time Allocation: Plan (5 minutes), Write (20 minutes), Review (5 minutes).
• Word Count Distribution:
  • Introduction: 60 words
  • Body: 375 words (Achievements, Challenges, Recommendations)
  • Conclusion: 65 words

🖋️ Introduction Techniques for Essays

• 📊 Contrast Approach: “While FRT improves security, its risks to individual freedoms demand scrutiny.”
• 💡 Solution-Based: “Governments can harness FRT responsibly with stringent regulations and transparency.”
• 📜 Timeline Introduction: “From early policing tools to today’s AI-driven systems, FRT’s journey is marked by innovation and controversy.”

📖 Structuring the Essay Body

🌟 Achievements:

• 🔍 Reduced crime rates in FRT-using cities.
• 🛫 Efficiency in public services (e.g., airports).

⚠️ Challenges:

• 🔐 Privacy and data security breaches.
• ⚖️ Bias and discrimination issues in algorithm performance.
• 📉 Regulatory gaps leading to misuse.

🔮 Future Outlook:

• 📋 Calls for transparency and global standards.
• 🌍 International case studies (EU bans, China adoption).

📜 Concluding Effectively

• 🤝 Balanced Perspective: “While FRT enhances security, its unchecked use risks eroding civil liberties. Striking a balance is critical.”
• 🌐 Global Comparison: “Countries like the EU prioritize citizen rights, providing models for responsible adoption.”

📊 Analyzing Successes and Shortcomings

• Key Achievements: Crime prevention, operational efficiency.
• Ongoing Challenges: Ethical concerns, discriminatory bias.
• Global Context: EU bans vs. Chinese implementation.

💡 Recommendations for Sustainable Progress

• 🔒 Introduce regulations for transparency and ethical use.
• ⚠️ Limit FRT to high-need scenarios like terrorism prevention.
• 🤖 Develop AI tools to reduce bias and improve accuracy.

✍️ Sample Short Essays

• 🟰 Balanced Perspective: “Facial recognition technology promises significant benefits in crime prevention but faces ethical dilemmas. Governments must adopt stringent regulations to safeguard civil liberties.”
• 💡 Solution-Oriented: “Banning FRT is not the answer; instead, governments should focus on transparent, regulated deployment.”
• 🌍 Global Comparison: “While China’s FRT rollout demonstrates scale, the EU’s cautionary approach highlights the importance of ethical considerations.”