Scrum Alliance

Ethical AI: Balancing Tech and Humanity

Scrum Alliance

Ethical AI: Balancing Tech and Humanity

This course is part of The AI-Powered Scrum Master Specialization

Scrum Alliance

Instructor: Scrum Alliance

Included with Coursera PlusLearn more

Ask Coursera

Gain insight into a topic and learn the fundamentals.
2 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
2 hours to complete
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

Recently updated!

August 2026

Assessments

5 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business
logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

This course is part of the The AI-Powered Scrum Master Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 2 modules in this course

In this section, learners explore how the introduction of artificial intelligence shifts the ethical responsibilities of a standard agile team. Rather than viewing ai as a complete replacement for human workflows, this module analyzes how product owners, developers, scrum masters, and stakeholders must individually uphold core agile values like transparency and collaboration to use technology responsibly. Learners will examine how developers build bias-aware, privacy-respecting algorithms and how product owners preserve organizational ethics while leveraging ai for user value. By studying these distinct accountabilities, learners establish a foundational understanding of data bias and the boundaries of ethical ai usage.

What's included

1 video5 readings3 assignments

This section transitions from high-level ethical team frameworks into practical, hands-on operational guidelines specifically for the scrum master. Learners will interact with a case study detailing how to use generative ai safely to streamline administrative, analytical, and data-intensive tasks—such as tracking metrics, suggesting retrospective formats, or finding pattern trends in text feedback—without over-delegating their core human responsibilities. This module outlines a structured reflection method for validating whether an ai implementation is safe (evaluating if tasks are generative, iterative, and under sufficient human oversight). Ultimately, this section provides strict guardrails that protect the uniquely human elements of agile leadership—such as trust-building, empathy, navigating complex organizational politics, and real-time facilitation—ensuring machines support people rather than replacing human judgment.

What's included

5 readings2 assignments

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Scrum Alliance
Scrum Alliance
17 Courses4,131 learners

Offered by

Scrum Alliance

Explore more from Business Strategy

Why people choose Coursera for their career

Felipe M.

Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Frequently asked questions

More questions

Financial aid available,