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Master Course in Business Ethics - Traditional to AI

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  • 5,172 Students
  • Updated 6/2025
4.2
(125 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
6 Hour(s) 46 Minute(s)
Language
English
Taught by
Dr. José Prabhu J
Rating
4.2
(125 Ratings)

Course Overview

Master Course in Business Ethics - Traditional to AI

Business Ethics, Professional Ethics, Organizational Ethics, Corporate Ethics, Company culture, Business culture, CSR

Master Course in Business Ethics 2.0  - Traditional to AI

The Master Course in Business Ethics 2.0  - Traditional to AI is designed to provide participants with a comprehensive understanding of ethical principles and their application within various business contexts. This course delves into the fundamental concepts of business ethics, including its historical evolution and the importance of ethical decision-making in contemporary business environments.

Participants will explore ethical frameworks and theories that guide decision-making processes, while also examining the factors that influence ethical behavior within organizations. Through the analysis of real-world case studies, participants will develop practical skills in navigating ethical dilemmas and making principled decisions in their professional roles.

A significant focus of the course is on Corporate Social Responsibility (CSR) and its role in modern business practices. Participants will learn how to develop and implement CSR strategies that align with organizational values and positively impact stakeholders.

Ethical leadership and the cultivation of an ethical organizational culture are central themes throughout the course. Participants will explore the characteristics of ethical leadership, strategies for fostering a culture of integrity within organizations, and approaches to addressing ethical challenges at both individual and organizational levels.

Additionally, this course examines specific ethical issues that arise in various business contexts, including marketing, finance, accounting, and supply chain management. Participants will gain insights into navigating ethical complexities within these domains and developing strategies to uphold ethical standards.

Through a combination of lectures, case studies, discussions, and assessments, participants will emerge from this course with a deepened understanding of business ethics and the ability to apply ethical principles effectively in diverse business settings. This course equips professionals with the knowledge and skills necessary to foster ethical decision-making and contribute to the development of ethical, sustainable, and socially responsible organizations.

In this master course, I would like to teach the major topics:

  1. Introduction to Business Ethics

  2. Ethical Decision Making in Business

  3. Corporate Social Responsibility (CSR)

  4. Ethical Leadership and Organizational Culture

  5. Ethical Issues in Specific Business Contexts

  6. Business Etiquette Vs Business Ethics

  7. Business ethics in HR, Marketing and Finance Departments

  8. Corporate Strategy and Business Ethics

  9. Understanding Algorithmic Bias & Strategies for Bias Mitigation

  10. Importance of Explainable AI (XAI) - Techniques for Enhancing AI Transparency

  11. Key Global AI Regulations & Accountability Mechanisms for AI Systems

  12. Ethical AI Data Collection Practices & Impact of AI on Consumer Privacy

  13. Data Ethics in AI-Driven Marketing & Advertising

  14. Legal and Ethical Considerations in Hiring

  15. Ethical Leadership in Talent Acquisition

  16. Cybersecurity : Legal and Ethical Considerations in Ransomware Response

  17. Supply Chain : Sustainability and Ethical Considerations

  18. AI Governance & Ethical Considerations

  19. AI Development Lifecycle, Compliance by Design & DevOps and AI Governance

  20. AI Governance : Ethical and Social Impact Assessment

  21. AI in Operations Management : Ethical and Regulatory Considerations

  22. Influencer Marketing : Navigating Challenges and Ethical Considerations

  23. Ethical Considerations in Applying Behavioral Finance Principles

  24. Big Data in Business : Ethical Considerations and Privacy Concerns

  25. Crafting a Supplier Diversity Policy

  26. Ethics and Integrity in Business Practices : Professional Etiquette of Sales

  27. Negotiating Deals Ethically : Sales and Marketing

  28. Leadership : Leading by Integrity and Ethical Principles

  29. Ethics of Algorithmic Business Models

  30. Neuroethics in Corporate Decision-Making

Master Course in Business Ethics 2.0 - Quiz

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Course Content

  • 1 section(s)
  • 30 lecture(s)
  • Section 1 Master Course in Business Ethics - Traditional to AI - Lectures

What You’ll Learn

  • Understand the fundamental concepts of business ethics and its historical evolution.
  • Apply ethical frameworks and theories to analyze and resolve ethical dilemmas in business contexts.
  • Evaluate the impact of ethical decision-making on organizational stakeholders.
  • Develop and implement Corporate Social Responsibility (CSR) strategies aligned with organizational values.
  • Demonstrate leadership qualities conducive to fostering an ethical organizational culture.
  • Identify and address ethical challenges inherent in leadership roles within organizations.
  • Analyze ethical issues in marketing, finance, accounting, and supply chain management.
  • Develop strategies to promote ethical behavior and integrity within organizational contexts.
  • Critically evaluate the ethical implications of business decisions and practices.
  • Apply ethical principles to contribute to the development of socially responsible and sustainable business practices.


Reviews

  • B
    Bhavya S
    5.0

    Excellent

  • A
    Arnab Pal
    5.0

    good

  • R
    Rumyana Todorova
    2.0

    Rushing through the content without providing meaningful examples, I am also not a native speaker but it is a little hard to understand what the lecturer says without looking at the subtitles.

  • M
    Manosangeetha Muthukrishnan
    4.5

    Content is very clear

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