📋 WAT/Essay Analysis Guide: Ethical Implications of AI in Decision-Making

🌐 Understanding the Importance of Ethical AI in Decision-Making

The ethical deployment of AI is critical for maintaining societal trust and ensuring fairness. As AI continues to impact economies and governance, B-school students must grapple with these ethical dilemmas.

📝 Effective Planning and Writing

• ⏳ Time Allocation:
• Planning: 5 minutes
• Writing: 20 minutes
• Review: 5 minutes
• 📚 Preparation Tips:
• Identify key ethical concerns.
• Use verified statistics for credibility.
• Note case studies like COMPAS or Amazon’s hiring AI.

💡 Introduction Techniques for Essays

• 🔄 Contrast Approach:
  “AI promises unbiased efficiency, yet its implementation often perpetuates existing biases.”
• 💡 Solution-Based:
  “With proper frameworks, AI can become a tool for equity, transforming decision-making globally.”

📖 Structuring the Essay Body

• 🏆 Achievements:
• AI’s transformative role in healthcare, finance, and disaster prediction.
• ⚠️ Challenges:
• Bias, black-box issues, and the ethical cost of automation.
• 🔮 Future Outlook:
• Importance of ethical training and AI governance frameworks.

✅ Concluding Effectively

• ⚖️ Balanced Perspective:
  “AI holds immense potential, but addressing ethical concerns is essential to harness its full benefits.”
• 🌍 Global Comparison:
  “The EU’s AI Act and Canada’s frameworks offer pathways for responsible AI adoption.”

🔍 Analyzing Successes and Shortcomings

• ✨ Achievements: Efficiency, scalability, democratization potential.
• ⚠️ Challenges: Bias, lack of transparency, ethical dilemmas.
• 🌎 Global Context: Examples of effective and controversial AI deployments.

🔧 Recommendations for Sustainable Progress

• 📜 Establish international ethical AI standards.
• 🌐 Promote diversity in training datasets.
• 🔍 Implement robust transparency laws.

✍️ Sample Short Essays

• ⚖️ Balanced Perspective:
  “AI’s role in decision-making is undeniable, but unchecked biases and lack of transparency threaten its promise.”
• 💡 Solution-Oriented:
  “To ensure ethical AI, policymakers must prioritize transparency and inclusive training practices.”
• 🌍 Global Comparison:
  “As nations like Canada lead in ethical AI, adopting similar frameworks globally is imperative.”