[100% Off] Ethical Ai Use In Business
Responsible AI, Bias Mitigation, Governance, Compliance, and Leadership Strategies for Modern Organizations
What you’ll learn
- Understand core principles of ethical and responsible AI and how they apply to real business decisions and workflows.
- Identify bias, fairness, and risk issues in AI systems and apply practical methods to prevent harmful or unethical outcomes.
- Design governance, accountability, and compliance practices for ethical AI use across teams and business functions.
- Lead ethical AI adoption using real case studies, frameworks, and a practical mini-project for people managers.
Requirements
- No technical or programming background required. This course is designed for beginners and professionals from any business role.
Description
This course contains the use of artificial intelligence.
Artificial intelligence is rapidly transforming how businesses operate, make decisions, and interact with customers and employees. While AI brings efficiency, scale, and innovation, it also introduces serious ethical, legal, and organizational risks if not used responsibly. This course, Ethical AI Use in Business, is designed to help professionals understand how to adopt and manage AI in a way that is ethical, fair, transparent, and aligned with business values.
This course focuses on practical, real-world ethical AI use, not technical model building. You will learn how ethical issues arise in everyday AI applications such as recruitment, performance evaluation, customer analytics, automation, and decision support systems. Through clear explanations, examples, and case studies, you will understand how bias enters AI systems, why fairness matters, and how unethical AI decisions can harm employees, customers, reputation, and trust.
You will explore the core principles of ethical and responsible AI, including transparency, accountability, fairness, human oversight, and explainability. The course then moves into governance and leadership topics, helping you understand how organizations can structure decision-making, assign accountability, and prepare for evolving AI regulations and compliance requirements. This is especially valuable for people managers and leaders who may not build AI systems but are responsible for approving, deploying, or overseeing them.
A strong emphasis is placed on organizational culture and leadership. You will learn how to build awareness within teams, empower employees to raise concerns, and create safe channels for ethical escalation. The course also examines real positive and negative case studies, showing what responsible AI looks like in practice—and what happens when ethical considerations are ignored.
To ensure practical application, the course includes frameworks, checklists, scenario-based leadership exercises, and a mini-project that helps you apply ethical AI principles to your own business context. By the end of the course, you will be equipped to confidently guide ethical AI use within your organization, communicate risks clearly, and make informed, responsible decisions.
This course is suitable for all levels and does not require any technical or programming background. If you are responsible for people, processes, or decisions involving AI, this course will help you lead with confidence in an AI-powered workplace.
Author(s): Dr. Amar Massoud
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