Ethics paper

Purpose: This paper gives you an opportunity to engage deeply with ethical issues in business data mining / business analytics, to critically reflect, and to propose informed practices. The goal is not just to identify problems, but to analyze them in light of what youve learned and to suggest actionable, well-argued solutions or guidelines.

Article to Read: Algorithmic Fairness in Business Analytics: Directions for Research and Practice, Maria De-Arteaga, Stefan Feuerriegel, Maytal Saar-Tsechansky. arXiv, 2022. Available at: https://arxiv.org/abs/2207.10991

Paper Requirements:

Length: ~20002500 words (excluding references), double-spaced, 12 point, Times New Roman.

Format: Word document (doc or .docx) plus PDF. Use APA style for references.

Due Date: Week 8 (no later than 3/13/2026)

Weight: 10% of Final Grade

Content and Structure:

Introduction Brief summary of the article: its thesis, methodology, and conclusions. Why is this article ethically significant in the context of business data mining and analytics?

Identification of Ethical Issues Identify at least three ethical issues raised by the article. For each issue, explain it clearly: what is the nature of the issue, what are the stakes, who is affected, what harm might occur?

Stakeholders & Responsibilities Discuss who the stakeholders are and what responsibilities they hold. Identify relevant ethical frameworks or principles.

Proposed Best Practices / Guidelines / Solutions Propose at least three practical guidelines or solutions to address the ethical issues identified, evaluating feasibility and drawbacks.

Conclusion Summarize key findings and reflect on broader implications for the future of business data mining and analytics.

References Use APA style. At least three (3) academic sources should be used (including the assigned article).

Evaluation Criteria: You will be graded on:

Clarity and depth of understanding of the ethical issues.

Relevance to course materials and business data mining / analytics practice.

Analysis: quality of arguments, critical thinking, discussion of tradeoffs.

Creativity and practicality of proposed solutions / guidelines.

Writing quality: structure, grammar, coherence, clarity.

Proper use of sources and correct citation style.

Submission Instructions:

Submit via the course learning management system.