RAIWorkshop (Responsible Artificial Intelligence Workshop)

A repository created by US OCP for public facing RAI Workshop Materials

This repository can be accessed via: https://aka.ms/raiworkshop

Purpose

This workshop is designed to aid Microsoft partners in developing an awareness of Responsible AI as they engage in AI projects for their customers. By the end of the workshop partners will be able to:

• Conduct similar workshops with your employees to ensure their specific AI principles are proliferated throughout the organization

• Conduct similar workshops with your customers to ensure your joint AI principles are adhered to throughout shared projects

• Create a process/committee for governance and to resolve internal escalations of possible Responsible AI conflicts

• Establish a 1-hour quarterly rhythm with Microsoft for bi-directional communications regarding Responsible AI

Direct Engagment vs. Indirect Engagement

• Direct Engagement is where you are planning to build a service practice that helps customers directly with RAI. Possibly a service offering in RAI? But direct, attributable revenue will be the outcome of this path.

• Indirect Engagement (probably 80% of Partners attending this workshop) is where you will absorb the message/principles taught and proliferate them through your offerings and employee/customer conversations. It has been shown by some partners to get them into deals they may not have been in before but largely it is part of HOW you do business and your own “SDLC” (Software Development Life Cycle).

Prerequisites

At a minimum please review the Microsoft Responsible AI Website. It will greatly aid in your understanding and ability to participate in the course. If you can complete the three modules in the learning path Identify guiding principles for responsible AI that will bring your understanding of the topic even deeper.

1. Identify guiding principles for responsible AI
2. Identify governing practices for responsible AI
3. Discuss practices for responsible AI at Microsoft

Who Should Attend the Leadership/Business Workshop

For the Leadership Workshop the attendees ideally would be:

• CxO or Company Leadership
• Primary Legal Counsel
• Head of Sales
• Corporate Communications
• Practice Lead for Data & AI (or equivalent)
• Anyone with a passion for the topic and plans to be a leader in this space

Standard Leadership/Business Agenda (3-4 hours, 1/2 day)

Can be delivered virtually or in-person. Good interaction and all scenarios covered, but limited depth on scenario stages and discussion on the topics.

Topics
Initial Scenario
Responsible AI (RAI) Overview
Fairness Scenarios
Accountability Scenarios
Transparency Scenarios
Break
Reliability & Safety Scenarios
Privacy & Security Scenarios
Inclusiveness Scenarios
Setting up YOUR RAI Process
Next Steps & Debrief

Responsible Machine Learning (RML) Agenda (7.5 hours, Full Day)

Can be delivered virtual or in-person. A hands on workshop for technical staff who want to understand how RAI is implimented in model development and design. Good for both general developers, but ideal for those with Python/R and ML expereince.

Length	Topics
0:10	Welcome / Introductions
0:35	Azure AI Overview
0:45	Azure Machine Learning Overview
0:15	*Break
0:45	MLOps Overview
0:45	Hands On with MLOps
0:30	*Lunch/Break
0:45	Model Transparency/Interpretability Overview
0:45	Hands On with FairLearn / InterpretML Notebooks
0:15	*Break
0:35	Partner (Cortex) Solutions Overview
0:45	Hands On with Partner (Cortex) Solutions
0:10	Next Steps & Debrief

Content Owner: Chris Kahrs ([email protected])
Update Date: 2020.2.18