1 of 11

Experience You

Project + Advisor Interest Meetings

2 of 11

    • Welcome and Brief Review of Project
    • Introductions from each team and purpose/interest in the project
    • Team Matching Convo
    • Open Q&A
    • Next Steps

Meeting Agenda

3 of 11

Project Team

a complete, or mostly complete, team that has the technical expertise and capacity to build an Experience You demonstration that solves for one of the defined use cases. If you are in need of a specific expertise to compliment your current team, please indicate that in your submission. �

Advisor / Mentor

you have subject matter expertise in one or more areas (technical, artificial intelligence, equity/bias design, ethics, etc) and would like to serve as an advisor to the project broadly and/or directly mentor and support a specific project team.

Get Involved - Project Roles

4 of 11

Experience You: Project Timeline

We are here!

Final Project Report

+

Next Steps

Fall 2023

Technical Team + Advisor Partnerships

Technical Development, Research and Testing

White Paper Drafting

Virtual Kickoff

January 2023

Project Work + Collaboration

February - June 2023

Technical Demonstration

(In-person)

July 2023

Announcing Experience You

December 2022

5 of 11

Maria

Incumbent Worker

Use Case #1

Antoine

Unemployed but Experienced

Use Case #2

Deanna

Military Veteran

Use Case #3

Alumni Network

Optional

Use Case #4

Experience You - Empowering You

6 of 11

  • January 25, 2023 - Experience You Kickoff Event
  • Friday, February 3, 2023 - Participation Submissions Due
  • February - Application Review, Team Formation, Onboarding
  • March, April, May, June - Project Work, Team Meetings, Advisory
  • Week of April 12 - Mid-Point Check-in
  • Week of June 14 - MVP Walk-Thru
  • End of June - Project Closure and Demonstration Preparation
  • July 18-19, 2023 - Technical Demonstration in Washington D.C.

Proposed Project Timeline

7 of 11

7

Timeline Close Up

Meeting Cadence

  • Twice Monthly Meetings
  • Office Hours in off week
  • AI Governance/Ethics Workshop Sessions
  • Data Collection Overview
  • Required attendance at these meetings
  • Scheduled according to consensus time/date

Resources

  • Shared repository of tools, data, and guides
  • Advisors of all types: AI, Equity, Strategy, Integration, Implementation, etc

8 of 11

Minimum Technical Requirements

Target Data Models:

Quality of the transformed output,e.g. F-Scores

Measures of bias or �skew in the data before & after AI

?

Open Badges - OBv3 Candidate Final Release

Comprehensive Learner Record - CLRv2 Candidate Final Release

W3C Verifiable Credential - Recommendation

General vs Narrow?

Training data?

Analytics:

- Performance, decision paths, transparency, etc

Competency/Skills Frameworks

Outputs

How well does the AI perform?

Analytics to explore bias and distribution of the data,

before and after AI processing

Must be:

  • highly interoperable (standards)
  • trustworthy & avoids undesirable biases
  • effective at producing useful information

9 of 11

    • Will the first phase delve into interoperable wallets?
    • What is the project team match making process?
    • Are we a good fit?
    • Is there specific IP that Experience You would like to see integrated by project teams?
    • How does an individual participate?
    • What opportunities may come out of XpU?
    • How can we learn from other teams?

Experience You - Q&A

10 of 11

Thank You for Attending!

U.S. Chamber of Commerce Foundation

11 of 11

QUESTIONS?

@USCCFoundation / @EdDesignLab

@USCCFoundation / @EdDesignLab

creynolds@eddesignlab.org

Experience You

Project Manager

Colin Reynolds

Senior Education Designer

Education Design Lab

creynolds@eddesignlab.org

uschamberfoundation.org/T3-Innovation