Credobility:

Credo AI’s Global Policy Director, Evi Fuelle, moderated a panel discussion at the Austrian Embassy in Washington entitled "Transatlantic Approaches to AI Regulation in Times of Great Power Competition," at the invitation of the Austrian Embassy and Bertelsmann Foundation, with leading voices in technology policy including Rob Atkinson (CEO, ITIF), Peter Fatelnig (Minister-Counsellor, EU Delegation to the U.S.), and Molly Montgomery (former U.S. Department of State, Director of Public Policy, Meta).

Credo AI is one of the Foundational Members of  the AI Verify Foundation, a not-for-profit Foundation that is a wholly owned subsidiary of the Infocommunications Media Development Authority of Singapore (IMDA), the aim of which is to harness the collective power and contributions of the international open-source community to develop AI governance testing tools that can better enable the development and deployment of trustworthy AI.

Credo AI was chosen as one of a select group of small and medium-sized enterprises (SMEs) to participate in a trailblazing initiative called Open Loop (a global policy experimentation program supported by Meta), designed to test various aspects of the EU AI Act in practice. Credo AI had the chance to apply design thinking to the policy, testing it "in practice" by asking ourselves difficult questions & sharing ideas across our product, policy, and data science teams at Credo AI. Credo AI provided preeminent thought leadership to a robust discussion on the implementation of the EU AI Act, including our experience working with industry, as well as our expertise in creating governance artifacts (transparency reporting, algorithmic impact assessments, algorithm design evaluations, model cards and more) for enterprises of all sizes, with a variety of AI use cases. Learn more here.

As a member of the National Artificial Intelligence Advisory Committee (NAIAC), Credo AI's CEO Navrina Singh spoke about the year-long work of the NAIAC at a public hearing hosted by the U.S. Department of Commerce, announcing the release of the Committee’s Year 1 Report. The NAIAC - launched in April 2022 - is tasked with advising the President and the National AI Initiative Office on topics related to the National AI Initiative.

Hosted by CDEI and Ada Lovelace Institute, Credo AI was the only enterprise selected to present at the UK Government Centre for Data Ethics and Innovation workshop entitled “Exploring Tools for Trustworthy AI: Impact Assessments,” at White Hall in London.

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In this workshop, Credo AI showcased our RAI Governance Platform, and research conducted into Algorithmic Impact Assessment prototypes for generative AI and human resources, to an audience of global regulators and enterprises, including the UK Information Commissioner’s Office, Ada Lovelace Institute, The Alan Turing Institute, British Standards Institute (BSI), DeepMind, Mastercard, Northrop Grumman, NHS AI Lab, and more.

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This workshop provided an interactive opportunity for regulators and legislators, as well as standard-setting bodies and impacted enterprises, to exchange dialogue over best practices for algorithmic transparency reporting.

Credo AI’s CEO Navrina Singh spoke at  OECD.AI AI Risk and Accountability Expert Working Group meeting at OECD Headquarters in Paris, France, as part of critical discussions on the impact of generative AI on AI policy worldwide, including discussions of the NIST Risk Management Framework, International Standards on AI, and the European Union AI Act. 

Through the OECD.AI Network of Experts workstream on AI risk, the OECD is engaging with partner organizations, including the International Organization for Standardization (ISO), Institute of Electrical and Electronics Engineers (IEEE), National Institute of Standards and Technology (NIST), European Committee for Electrotechnical Standardization (CEN-CENELEC), the European Commission (EC), Council of Europe (CoE), UNESCO, OECD, EU-US Trade and Technology Council (TTC) and Responsible AI Institute (RAII)-WEF to identify common guideposts to assess AI risk and impact for Trustworthy AI. The goal is to help implement effective and accountable trustworthy AI systems by promoting global consistency.