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)
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