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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.

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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.

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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 repetitional 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.

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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.

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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.

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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.

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.

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.

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

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.

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.

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.

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.

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.