Introduction (1 page)

• Define the importance of AI in decision-making.
• Introduce the concept of ethical concerns, especially in healthcare and criminal justice.
• Present the research question.

Literature Review (1.5 pages)

• Review existing frameworks on AI ethics.
• Discuss the gap in accountability measures for AI decisions.
• Compare views from scholars and tech industry experts on AI fairness and bias.

Methodology (1 page)

• Describe the approach to evaluating AI ethical guidelines.
• Specify whether youll use case studies, theoretical analysis, or empirical data.

Analysis and Discussion (1.5 pages)

• Analyze specific case studies where AI has been applied in healthcare (e.g., diagnosis systems) and criminal justice (e.g., predictive policing).
• Evaluate how ethical guidelines are applied or violated in each case.
• Discuss challenges in creating accountability for automated decisions.

Conclusion (1 page)

• Summarize the findings.
• Suggest potential areas for improving ethical guidelines for AI in decision-making.
• Propose further research areas or questions for exploration.