Responsible AI Institute
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About
The Responsible AI Institute (RAI Institute) is a non-profit organization that helps organizations build, buy, and supply AI systems responsibly. They offer various services including RAI Assessments (Organizational, Product/Service, and Vendor), Benchmarks, Certification Programs, Education modules, and Guidebooks. Their certification program is designed to ensure AI systems align with the five OECD Principles on Artificial Intelligence. The RAI Institute also maintains a community of members, including corporations, universities, and government agencies, who work together to advance responsible AI practices.
Platform
Task
Features
• certification programs
• guidebooks
• education modules
• benchmarks
• rai assessments
FAQs
Who is the Responsible AI Institute (RAI Institute)?
RAI Institute is a membership-based, community-driven non-profit organization committed to advancing human-centric and trustworthy AI. We help our members fast track their responsible AI success through our independent assessments, benchmarks, and certification program.
What is The RAI Institute mission?
Responsible AI Institute’s mission is to advance the design and deployment of safe and trustworthy artificial intelligence which benefits all of humanity.
How are you funded? Who are your members?
We are a membership-driven non-profit that is funded primarily through the annual membership fees from corporations, technology solution providers, and individuals.
What products and solutions do you provide?
RAI Institute provides RAI Assessments (Organizational, Product/Service and Vendor), Benchmarks, Certification Programs, Education modules and Guidebooks. These products and solutions help organizations develop and scale their RAI programs with confidence.
What is Responsible AI Certification? Why is it important?
Our RAI Institute Certification is the first independent and community developed Responsible AI rating, certification, and documentation system. RAI Institute 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 democratic values.
How can a Responsible AI Certification and underlying conformity assessment be used?
A RAI Institute conformity assessment can be used in one of three ways with increasing levels of trust associated with them: Low-trust: Using the responsible AI conformity assessment to perform an internal evaluation of AI systems so that you can provide a self-attestation that you are building AI-system that is in fact responsible. Medium-trust: Using the responsible AI conformity assessment to have a second-party perform an non-accredited validation that an AI system is built responsibly inclusive of review of supporting documentation so that you can provide a second-party validation that your AI-system that is in fact responsible. High-trust: an independent and accredited 3rd-party performs an audit of an AI system using the responsible AI conformity Assessment resulting in the issuance of the RAI Institute Certification
What value do your responsible AI assessments provide?
With the ability to apply the RAI Institute assessments as first-party assessments, second-party assessments and third-party audits; members engender the trust to scale human-centric AI with confidence. For organizations building and buying AI systems: RAI Institute assessments allow organizations building and/or buying AI systems to have a programmatic approach to assuring, validating and certifying AI systems used in their organizations meet internal policies, are aligned to global standards and are in a good position as regulations emerge. For organizations building and supplying AI systems: Many procuring organizations are looking to the RAI Institute to help them define what their responsible AI procurement practices should be. By using out responsible AI maturity assessments for your AI-enabled systems you can assure customers that the AI-enabled system they are buying is built implemented and operated in a responsible manner and in accordance with their policies. The symbol of trust the RAI Institute provides acts as a competitive advantage for AI enabled systems that impact human health, wealth or livelihood or are being used to build and deploy AI systems. For Audit, verification and Consulting Companies: Securing an independent, third-party Responsible AI Certification given by a respected responsible AI non-profit can help further differentiate your services and enhance your leadership and expertise in the human-centric, Trusted AI field. In addition, by participating in RAI community work groups, collaborating with RAI Fellows and leading partners such as World Economic Forum, OECD, IEEE, ANSI, etc., you continue to add robustness, value and depth to your offerings.
What is a RAI Institute Member? Why should my organization become one?
The RAI Institute members are non-governmental organizations that have subscribed for membership allowing them access to The RAI Institute tools & assets, products and solutions as they build, buy and supply AI Systems. The RAI Institute tools & assets include policy and governance templates, a regulatory tracker, responsible AI Organizational Maturity Assessments, responsible AI System Level Assessments and others. The RAI Institute product is our responsible AI conformity Assessments and our solutions focus on helping organizations to build, buy and supply AI systems.
How does RAI Institute incorporate the adjustment of standards into its Framework?
We and everyone else working on AI governance are attempting to “raise the bar.” That said, certification programs which are formally developed and validated by national accreditation bodies (in accordance with the aforementioned ISO CASCO standard) are certainly an excellent way to achieve consensus on where that bar should be and how cultural and market changes can occur. As a scheme owner for the responsible AI certification we would be responsible for ongoing maintenance of the scheme to ensure that the latest standards are integrated into the process.
How does the RAI Institute define artificial intelligence?
The terms artificial intelligence (AI), machine learning (ML), data science and automated decision making are often used interchangeably or as distinct technologies. For the purposes of the RAI Institute, we think of all of these as AI, for the simple fact that anytime any of these distinct technologies are used they have the potential to negatively affect human health, wealth or livelihood. In addition many standards bodies and regulations are addressing “AI” in the same context of automated decision making.
What is responsible Artificial Intelligence (rAI)?
Responsible Artificial Intelligence is the “practice of designing, building, deploying, operationalizing and monitoring AI systems in a manner that empowers people and businesses, and fairly impacts customers and society – allowing companies to engender trust and scale AI with confidence.” (Source: World Economic Forum, RAI Institute Partner). While many organizations have worked to establish principles and comprehensive definitions for Responsible AI, we have decided to ground our efforts in accordance with OECD’s five Principles on Artificial Intelligence.
Why is responsible AI important?
The potential societal benefits and implications of AI are enormous. To trust an AI system, we must have confidence in its decisions. We need to know that a decision is reliable and fair, that it can be transparent, and that cannot be tampered with. However, given their ability to continuously learn and evolve from data, AI is proving to be a double-edged sword. On one hand, AI is helping remove costs, simplify business processes, and enhance products and customer experiences. On the other hand, most automated decisioning data and AI models today are black-boxes that often function in oblique, invisible ways for both its developers as well as consumers and regulators. This is creating new business risks from black box models that function in oblique, invisible, deceivable, and sometimes biased ways resulting in reputation damage, revenue losses, regulatory backlash, criminal investigations, and diminished public trust. Responsible AI Institute provides conformity assessment and certification aimed at bringing transparency, fairness and robustness to AI and expert system powered automated decisioning systems to ensure these systems are fair, transparent and accountable and in a manner consistent with user expectations, organizational values and societal laws and norms.
Why does the RAI Institute talk about AI systems versus just AI?
The distinction of AI systems versus AI models is critical when looking at the true impact of AI on society and individuals. Since AI is used to solve human problems, drive automated decision making and automate human intelligence, most applications, workflows and processes that integrate AI are actually integrating multiple individual AI models. When determining if an AI model is in fact responsible, it is critical to look at the impact of the entirety of all of the AI models making up the AI system as individual AI models may be responsible, but when used in tandem or in the application, workflow or process they AI system, may prove to not be responsibly implement for a variety of different reasons.
How is Responsible AI related to Ethical AI or Trustworthy AI?
These terms often get used interchangeably, and in many circumstances people who use them are interested in the same related goals and objectives. However, it’s important to understand these distinctions as they could be used to either mean different things or focus on different aspects of AI’s use in society. At the RAI Institute, we like to use the most comprehensive term, “responsible”, as it adheres to individual and collective values inspiring responsible actions are taken to mitigate harm to people and the planet. Ethics are a set of values specific to an individual or group, and can vary and conflict. While considering one’s values is incredibly important, it is essential that we are targeting objectives that benefit people and the planet as an integrated ecosystem. While many in the community choose to use ethics as a term, we recognize that not everyone has the same ethics. It is not our place to define what is or isn’t ethical for an individual. When you are being responsible, it means you are recognizing that your actions could have an impact on others, additionally, you are taking steps to ensure an individual or group’s choices, liberties, and preferences are not harmed. What is important as part of responsible AI operations is that organizations define their own AI ethics principles and make these transparent to their employees and customers. The term “Trustworthy AI” is most often used to reference the technical implementation of AI focused mostly on ensuring fairness through the detection and mitigation of bias as well as ensuring AI models are transparent and explainable. Responsible remains the most comprehensive and inclusive term ensuring that the system is not just safe or trusted, but that it respects and upholds human rights and societal values as well.
How does one start the journey to responsible AI?
No matter where you are on your AI building, buying or supplying journey, our programs and services can help. We’ve laid out the journey to certification in four stages: Network, Educate, Assess, and Certify. Our goal is to allow members to **network** through community, **educate** themselves and other practitioners and students, **assess** their systems, and **certify** their responsible and trustworthy AI.
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