📋 WAT/Essay Analysis Guide

🤖 Can AI-powered Assistants Become Ethical Decision-Makers in Professional Settings?

🌐 Understanding the Topic’s Importance

This topic is highly relevant to technology, leadership, and strategy domains, addressing the intersection of innovation and ethics, a key area for B-school aspirants.

📝 Effective Planning and Writing

• Time Allocation:
• Planning: 5 minutes
• Writing: 20 minutes
• Review: 5 minutes
• Preparation Tips: Identify key ethical AI applications, notable cases, and global benchmarks.

🎯 Introduction Techniques for Essays

1. Contrast Approach: “While AI-powered assistants excel in objective decision-making, their lack of moral reasoning presents a significant ethical challenge.”
2. Solution-Based: “As AI becomes integral to professional settings, striking a balance between automation and ethical oversight is critical.”
3. Timeline: “From diagnosing diseases to evaluating loan applications, AI-powered systems have evolved rapidly, but ethical dilemmas persist.”

📑 Structuring the Essay Body

✔️ Achievements:

• Examples of accurate and unbiased AI applications in healthcare and law.
• Ethical AI frameworks like Microsoft’s Responsible AI Standard.

⚠️ Challenges:

• Algorithmic biases, ethical relativity, and lack of explainability in AI decisions.

🚀 Future Outlook:

• Emphasize human-AI collaboration, regulatory advancements, and ethical AI certifications.

📄 Concluding Effectively

1. Balanced Perspective: “While AI assistants can support ethical decision-making, human oversight is essential to address moral complexities and ensure accountability.”
2. Global Comparison: “Countries like Estonia demonstrate AI’s potential for ethical decision-making, but its scalability requires addressing biases and implementing robust regulations.”

✍️ Sample Short Essays

1. Balanced Perspective: “AI systems are valuable for ethical decision-making in professional contexts, but they must operate under human supervision to ensure fairness and accountability.”
2. Solution-Oriented: “The future of ethical AI lies in creating transparent algorithms combined with rigorous oversight, ensuring trust and equity in professional environments.”
3. Global Comparison: “While Estonia’s judicial AI system enhances fairness, the A-Level grading debacle in the UK reminds us that AI ethics require human oversight and societal consensus.”