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Achieving Responsible AI with SAFe

Responsible AI in the enterprise: see the risks, review policy, write an epic, and leave with a plan.

SAFe® Micro-credential 4 hours Live online
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SAFe Micro-credential

The training

Achieving Responsible AI is a SAFe micro-credential. One hour of self-study plus half a day live. You identify stakeholders, review examples of RAI policies, draft a short pitch, write an epic hypothesis, and build a plan for carrying Responsible AI further at home. SAFe connects this to the portfolio, LPM, ARTs, and teams.

English, live online. For SAFe practitioners who are developing policy for responsible AI.

Licensed by Scaled Agile, Inc. Result: the SAFe® micro-credential Achieving Responsible AI with SAFe.

Who it is for

  • SAFe practitioners in the portfolio and on the ART
  • Leaders who need an AI policy
  • Product owners and product managers
  • Teams taking AI into the product or the process

On this course you

  • name and justify Responsible AI
  • review examples of RAI policies for your organization
  • give a pitch for RAI
  • write an RAI epic hypothesis
  • build a plan for learning and sharing the practice

What you get

Micro-credential

Achieving Responsible AI with SAFe.

Format

One hour of self-study plus about half a day live, in English.

Result

A pitch, an epic hypothesis, and an action plan for your organization.

Program

Download the PDF brochure

Name and email, then the PDF brochure opens.
01

Self-paced study

A short preparation: what responsible AI is, and why an organization needs it.

  • About an hour of self-paced study before the live session
  • What responsible AI is
  • Why it concerns the portfolio, the ART, and teams
02

Who is involved

Who decides, and whom this practice affects.

  • Who decides about AI
  • Whom the practice touches
03

Policy

Check example RAI policies against your own organization.

  • Examples of responsible AI policies
  • What fits your context
  • A short pitch on responsible AI
04

Epic and plan

An epic hypothesis, and a plan that lives after the course.

  • An epic hypothesis for responsible AI
  • A plan for learning and passing the practice on
  • The link to the portfolio, LPM, the ART, and teams