Working Together
for AI We Can Trust

Artificial Intelligence holds great potential and great peril. As practitioners
and stakeholders, our choice is to build a future that either will — or will
not — be trusted by everyone. The Responsible AI Institute is working to
define responsible AI with practical tools and expert guidance on data
rights, privacy, security, explainability, and fairness.

AI Offers
Incredible Promise.

AI is, without hyperbole, poised to reshape the world as we know it. It is
expected to add more than $15 trillion to the global economy by 2030,
sparking significant change across industries. By 2022, over 60% of
companies will have implemented machine learning, big data analytics, and
related AI tools into their operations. As we navigate the intricacies of a
technology already integrated into many of our systems, it is vital we do so
through focused, practical lenses.

AI's Power
Needs Guardrails.

When not designed in a thoughtful and responsible manner, AI systems
can be biased, insecure, and not compliant with existing laws, even going
so far as to violate human rights. AI presents significant risk of financial
and reputational harm for companies that haven't thought through their
strategies and roadmaps.

More so than any technology we’ve yet encountered, it is imperative that
AI systems be designed and managed in a responsible way.

A Framework of
Trust Is Imperative

LGBTQ couples were 73 percent more likely to be denied a mortgage than heterosexual couples with comparable financial credentials.

A Florida county sheriff’s office is combining academic data with highly sensitive health department data to label specific children as possible criminals.

A 25-year old Detroit man was arrested for felony theft after the city’s facial recognition software misidentified him, a common racial bias mistake made when AI isn’t designed responsibly.

These examples are jarring and only a sampling of the thousands of similar cases — but they don’t negate the incredible potential of this powerful technology. The right tools and guidance can turn situations like these into great benefits for humanity.

RAI Overview Deck

The World's First Independent,
Accredited Certification Program
for Responsible AI

RAI Certification is a symbol of trust that an AI system
has been designed, built, and deployed in line with the
five OECD Principles on Artificial Intelligence to promote
use of AI that is innovative and trustworthy and that
respects human rights and societal values.

We use our five categories of responsible AI
(explainability, fairness, accountability, robustness, and
data quality) as parameters for the different credit
elements within the RAI Certification rating system.

Help Advance Trusted AI

Working together, we can create AI systems the world can trust.

“RAI Certification provides the guardrails for use of AI and data in an ethical and responsible manner. Partnering with RAI Institute to build an independent and trusted Responsible AI Certification system helps our customers accelerate adoption and impact from AI systems.”

Matt Sanchez

Founder and CTO, Cognitive Scale

"We’re delighted to be working with RAI toward an independent and community-developed AI certification program. RAI will provide organizations the right guard rails not only to preserve trust and avoid harm, but also enable organizations to innovate and drive better societal outcomes with AI."

Mark Caine

Lead AI and ML, WEF

"The continued emergence of Artificial Intelligence (AI) technologies presents an exciting opportunity for Anthem to explore the development of next-generation products and services. As one of the initial charter members of RAI, we are thrilled to see this community grow through active collaboration and are pleased to provide our insights and expertise by participating in the RAI Certification beta pilot."

Rajeev Ronaki

SVP and CDO, Anthem

“Failing to operationalize AI in a responsible and ethical manner is a threat to the bottom line. At IBM we have a long-standing commitment to building trustworthy technologies and we are delighted to be partnering with RAI as a partner and board advisor”.

Seth Dobrin

Global Chief AI Officer, IBM

“Without trust, artificial intelligence cannot deliver on its potential value. Independent Certification such as the RAI Certification help strengthen governance and controls to build user trust and accelerate adoption and business impact of AI. As a recent addition to RAI’s advisory board, I look forward to bringing my expertise and global perspective to the important work underway at RAI Institute.”

Cathy Cobey

Global Trusted AI Leader, EY

“We are delighted to collaborate with organizations such as RAI in creating best practices in the complex field of responsible AI, and encourage the development of credible, independently-validated processes for certifying AI systems.”

Kay Firth-Butterfield

Head of AI and Machine Learning, WEF

“The close working relationship between CIPS and Responsible AI Institute is imperative to allow both organizations to enrich their members with the right toolset to further responsible AI. As the risks of data security increases in tandem with the growth of AI systems, we must use these tangible tools to ethically succeed in this rapidly changing landscape.”

Greg Lane

CEO, Canadian Information Procesing Society

"We don’t think Banking can work in an environment without trust. Independent certification programs like the one from RAI Institute help technical and business leaders develop the appropriate safeguards for use of data and AI in an ethical and trusted manner."

Gavin Munroe

Global CIO for Wealth and Personal Banking, HSBC

“AI presents a new breed of significant financial and reputation risk for companies. CIOs, C-suite executives, and boards must ask tough questions about responsible use of data and machine learning technology and help their organizations implement new responsible AI guardrails and independent AI certifications like the one being provided by Responsible AI Institute”.