Summary Data & Business Ethics Summaries

These summaries cover all key topics from a university-level Data and Business Ethics course. Each session provides clear, structured notes that combine theoretical concepts with practical examples, making it ideal for exam preparation or quick revision. Included Sessions: Session 2 – Introduction to Business Ethics: Core ethical principles, frameworks for ethical decision-making, and corporate responsibility. Session 3 – Data and Privacy: Key data protection concepts (GDPR, data ownership, consent) and real-world case studies. Session 4 – Algorithmic Bias and Fairness: Understanding bias in data and AI, ethical implications, and mitigation strategies. Session 5 – Corporate Governance and Data Management: Ethical data governance, accountability, and transparency in business. Session 6 – Emerging Ethical Challenges: AI ethics, automation, and responsible innovation (short summary version). Session 7 – Sustainability and Ethics: Ethical trade-offs between profit, sustainability, and social responsibility. Session 8 – Ethical Leadership: Principles of ethical leadership, stakeholder management, and decision-making in uncertain contexts. Session 9 – Review and Applications: Integration of course themes with practical applications and ethical case analyses. Why it’s valuable: Concise and well-structured – perfect for quick understanding. Covers all essential theories, models, and examples from the course. Helps students prepare for exams, essays, or discussions efficiently. Format: PDF (8 documents) Level: Undergraduate / Master’s (Data, Business, or Management programs) Length: ~40–50 pages total