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In this course on Foundations of Ethical AI in the Workplace, you will learn what AI is, its transformative role in business, and how to navigate the ethical challenges it presents. As AI automates tasks, enhances decision-making, and streamlines operations, it also raises ethical concerns, including data privacy, transparency, bias, and accountability—challenges that require thoughtful management and oversight to prevent unintended consequences.
This course covers the types of AI, and explores how each of them impacts the workplace. You'll learn about common sources of AI bias, how it affects decision-making, and why transparency is vital to build trust with different stakeholders. You’ll also explore why ethical standards and human oversight are essential to align AI applications with organizational values. By the end of this course, you’ll be equipped to apply these ethical principles and make informed decisions that maximize AI’s benefits while respecting everyone’s rights.
You will learn what AI is, its transformative role in business, the types of AI and how each impacts the workplace, common sources of AI bias, why transparency matters for stakeholder trust, and why ethical standards and human oversight are essential to align AI with organizational values.
It addresses ethical concerns including data privacy, transparency, bias, and accountability, and explains the role of human oversight in preventing unethical AI outcomes.
The course builds skills in Artificial Intelligence Development, Risk Mitigation, and Transparency (Human-Computer Interaction).
Lessons cover what artificial intelligence is, AI in the workplace, the role of human oversight in AI, bias and fairness in AI algorithms, transparency and explainability in AI, and ethical concerns in AI usage, with knowledge checks included.
By the end, you will be equipped to apply ethical principles and make informed decisions that maximize AI's benefits while respecting everyone's rights.