Ethics and Applications of Big Data and AI

Wondering how to use Artificial Intelligence and Big Data responsibly? This essential micro-course explores the ethical dimensions of intelligent technologies, helping you navigate the challenges of privacy, bias, and fairness in data-driven decision-making.

While you're learning how to build AI solutions, you’ll also learn how to do it ethically—balancing innovation with accountability. Through real-world examples and a capstone project, you’ll gain the skills to design equitable systems that respect user rights and societal impact.

You'll gain a solid understanding of:

• The ethical challenges and data privacy concerns that arise in big data and AI systems.
• How to identify and mitigate bias in algorithms and datasets.
• How to develop and present responsible AI solutions that address real-world problems.

By the end of this micro-course, you won’t just understand the risks—you’ll be equipped to lead with integrity and build AI systems that earn trust.

Competency:
Develop a proposal for a real-world big data and AI solution that addresses ethical challenges, data privacy concerns, and potential biases.

Learning Objectives:

1. Identify and mitigate ethical challenges, data privacy concerns, and potential biases in big data and AI systems.
2. Create and present a proposal for a solution to a real-world big-data and AI problem.

Concerned about the ethics of AI? This course gives you the tools to ask the right questions—and the confidence to answer them. With your built-in AI coach, you’ll learn while doing and build solutions that make a difference.