Achieving Responsible AI with SAFe

A SAFe Micro-credential course designed to equip Agile professionals with the skills to implement AI responsibly in their teams and organizations.

This course will make you stand out as a leader in implementing responsible AI by providing hands-on experience and practical skills that ensure your AI projects are transparent, accountable, and aligned with human values.

Before
Complete 1 hour eLearning
Prior to your facilitated session, you must complete the associated eLearning in SAFe Studio. This eLearning provides the perfect preparation for your facilitated session & is required to earn your Micro-credential.

During
Engage in a dynamic 4-hour facilitated session
During your live session, a facilitator will help guide you and your classmates through a variety of activities and work shops designed to not only provide knowledge, but provide practical applications of what you learn.

After
Immediately apply your knowledge
Upon completing your eLearning and facilitated session, you will be instantly ready to apply your knowledge in your unique setting.

Self-paced , on-demand eLearning (1 hour)

The eLearning module provides a comprehensive introduction to Responsible AI, covering foundational concepts and their alignment with SAFe practices. The eLearning includes several pre-work assignments intended to fully prepare students for the facilitated session — including researching current RAI practices in your organization, reviewing example policies, and ensuring access to a generative AI tool for practical exercises.

Activity 1 – Identifying Stakeholders (~30 minutes)

As future change agents and advocates for RAI, one of the first and most important tasks is to think about the people in an organization who would need to be involved in implementing RAI, what their responsibilities would be, as well as their top concerns. Learners will leave this activity with an actionable stakeholder map for future initiatives.

Activity 2 – Evaluating RAI Policies (~25 minutes)

Get hands-on experience using GenAI applications such as SAFe CoPilot and ChatGPT to apply critical thinking to an example set of policy elements in an RAI plan, identifying improvements needed for organizational fit.

Activity 3 – Communicating the Need for RAI (~30 minutes)

Become empowered to effectively communicate the need for Responsible AI (RAI), the goals of
an RAI initiative, and the alignment of an RAI initiative with organizational objectives through a concise “elevator pitch” activity.

Activity 4 – Writing an RAI Epic Hypothesis Statement (~35 minutes)

Practice identifying an actionable element of an RAI implementation that requires a significant effort by one or more Value Streams, and scoping that effort using a SAFe Epic hypothesis statement.