About RAI

RAI is a non-profit organization building tangible
governance tools for trustworthy, safe, and fair Artificial
Intelligence (AI). Through a first-of-its-kind certification system
that qualifies AI systems, we support practitioners as they
navigate the complex landscape of creating Responsible AI.

Feedback generated from these systems will in turn inform AI
policymakers, enabling technologies that improve the social
and economic well-being of society. RAI brings extensive
experience in responsible AI policy and is uniquely positioned to
partner with organizations across public and private sectors to
guide and inform responsible AI governance around the world.


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Leadership

Ashley Casovan

Ashley Casovan

Executive Director

Phil Dawson

Phil Dawson

Senior Policy Counsel

Kara Scully

Kara Scully

Communications and Engagement Manager

Engineer

Hiring Soon

Lead Developer

Data Scientist

Hiring Soon

Lead Data Scientist

Interested in joining RAI?

Inquire here.

Governance Board

Manoj Saxena

Manoj Saxena

Board Chair

Matt Sanchez

Matt Sanchez

Board Member

Miriam Vogel

Miriam Vogel

Board Member

Michael E. Stewart

Michael E. Stewart

Board Member

Dr. Joydeep Ghosh

Dr. Joydeep Ghosh

Board Member

Advisors

Rajeev Ronanki

Rajeev Ronanki

Advisor, Anthem, Inc.

Suraj Madnani

Suraj Madnani

Advisor, American Express

Dr. Bhatt Vadlamani

Dr. Bhatt Vadlamani

Advisor, Jackson Enterprise

Gavin Munroe

Gavin Munroe

Advisor, HSBC

Cameron Davies

Cameron Davies

Advisor, NBCUniversal

Cathy Cobey

Cathy Cobey

Advisor, EY

Seth Dobrin

Seth Dobrin

Advisor, IBM

Alex Benay

Alex Benay

Advisor, Microsoft

Doreen Lorenzo

Doreen Lorenzo

Advisor, UT Austin

Mark Rolston

Mark Rolston

Advisor, argodesign

Ben Lamm

Ben Lamm

Advisor, Hypergiant

Expert Advisors

Kasia Chmielinski

Kasia Chmielinski

Data Advisor, DNP

Tim Vincent

Tim Vincent

Technical Advisor, IBM

Julia Stoyanovich

Julia Stoyanovich

Technical Advisor, NYU

Members


Global Corporations

Anthem
Jackson
HSBC

Tech & Service Providers

IBM
Microsoft
Deloitte
EY
PWC
Cognitive Scale
AltaML
Oproma
TIQ

Government & NGOs

WEF
IEEE
Oceanis
Saxena Foundation

Universities & Academia

UT
Montreal
Toronto
Alberta
Oxford Brooks
Mila
R/AI
 

Responsible AI Fellowship Program invites multidisciplinary teams of students and professionals to tackle real-world challenges.

This program will support multidisciplinary teams of students and professionals selected from various universities and businesses to work on real-world responsible AI challenges and opportunities. Projects are sourced from RAI Members and external clients who play an important role in structuring project deliverables. Fellows work with domain experts in AI, data science, human-centric design, law, and regulatory policy. Fellows receive training in research skills and data collection, analysis, and presentation to deliver a work product that meets client needs.

Get Involved

For more information, please email us at admin@responsible.ai, or sign up to become a member of RAI. You can also join our mailing list to stay informed on the progress.