Credo AI

At the 2024 Credo AI Responsible AI Leadership Summit, industry leaders united to chart a bold new future for AI governance. The key takeaway? Trust isn’t just a feature of AI—it’s the driving force behind innovation. In her latest blog, our CEO, Navrina Singh, shares 10 key insights from the summit, revealing how responsible AI is a race to the top for forward-thinking enterprises. Catch up on the key insights here: https://lnkd.in/gcQxmBM7 #ResponsibleAI #CredoAISummit #AIGovernance

"AI Governance is a long-term tailwind, not a speed bump." Our CEO, Navrina Singh, shares her perspective in this interview with Yahoo Finance. As AI rapidly evolves, it's crucial to recognize the importance of governance as a foundational pillar of AI adoption. At Credo AI, we're focused on helping organizations navigate AI risks, ensuring long-term success and trust in this transformative technology. Catch the full segment to hear Navrina’s perspective on how AI governance will shape the future: https://lnkd.in/gJTMYVQC #AIGovernance #CredoAI #ResponsibleAI #Leadership #AITrust #YahooFinance

Our incredible CEO, Navrina Singh, was featured on CNBC, where she shared her insights on the increasing caution around AI risks in tech earnings. As someone who’s deeply passionate about responsible AI, Navrina continues to push the conversation forward on why it’s essential to build trust in AI systems. Watch the full segment here: https://lnkd.in/gB96RwXG #AI #CredoAI #ResponsibleAI #CNBC

Excited to have Credo AI’s own Evi Fuelle and Lucía Gamboa contribute to Partnership on AI’s new “Policy Alignment on AI Transparency” Report - published today! Read the full report here: https://lnkd.in/dFAEWVRn This report tackles a critical and timely question: As enterprises utilize documentation to increase transparency in their AI system governance, how can we align documentation requirements from policymakers globally to be more interoperable? Key highlights: 1. Provides actionable recommendations for harmonizing key documentation requirements 2. Emphasizes the need for standardized approaches to AI transparency 3. Outlines outstanding interoperability challenges in AI governance As AI regulation evolves worldwide, a unified framework is essential. Enterprises need certainty and interoperability to help galvanize action and make it clear “what good looks like” for AI system transparency and trust. This report paves the way for consistent and effective oversight that benefits both innovation and responsible AI deployment. #PAI #AIGovernance #ResponsibleAI #PolicyAlignment #AITransparency

I recently attended Credo AI Responsible AI Leadership Summit 2024, and the discussions were both timely and invaluable as I continue to dive deep into AI governance. For those that could not attend, here is the 20 second version: My Biggest Takeaway: Trust and centering humans is the foundation of responsible AI. It's not just about compliance; responsible AI is a driver of business success. Ethical AI practices fuel innovation, enhance customer loyalty, and enable sustainable growth. We also explored how board oversight is critical as companies adopt generative AI. Boards and executive leadership must collaborate on governance strategies that prioritize risk management and accountability while driving innovation. As we navigate the rapidly evolving AI landscape, global standards were discussed as essential to fostering responsible AI adoption. Additionally, U.S. state-level policies are already paving the way for broader discussions on AI governance. The event reinforced that responsible AI is not a destination, but a continuous journey and one that we must be flexible enough to continually iterate on. I'm excited to apply these insights as I look to shape Chime’s AI governance strategy. Huge thank you to Credo AI, Dennis Yang, and Navrina Singh for leading the way! And to the speakers... you all were absolutely incredible, thank you Scott Frederick, Nicole Wong, Michelle Lee, Scott Wiener, Christina Montgomery, Greg Ulrich, Daniel Kluttz, and the INFAMOUS Fei-Fei Li! #ResponsibleAI #AIGovernance #EthicalAI #AI

Thrilled to have participated in Credo AI's Responsible AI Leadership Summit 2024 at the Golden Gate Club last week! It was an enriching experience to reconnect with friends and learn from the foremost thinkers in responsible AI governance, including policymakers, researchers, ethicists, and industry leaders. Key Takeaways from the Summit: ✅ Governance Enables Trust: With emerging AI regulations and increasing consumer demand for trustworthy AI, governance is pivotal in fostering innovation while building trust. ✅ Standardization is Essential: A recurring theme was the critical role of standardization in responsible AI—from methodologies to benchmarking. To transition Responsible AI from an art to a science and ensure its safety and trustworthiness, harmonized AI standards that are operationally relevant, interoperable, and adaptable across countries and regions are urgently needed. ✅ Transparency and Collaboration: Debates around open-source versus closed-source models, the necessity for transparency throughout the AI supply chain, and the importance of public-private cooperation were prominent. Collaboration across sectors has never been more crucial. ✅ Realistic AI Expectations: There's a tendency to overestimate short-term impacts and underestimate long-term effects. Maintaining realistic expectations about AI's evolution is essential for developing sustainable governance frameworks. ✅ Agility in Governance: Governance is a continuous journey. As technology evolves and regulatory landscapes solidify, organizations must remain agile and adaptable. Practical Steps for Implementing Responsible AI: 1/ Inventory AI Usage: Catalog all AI components and applications within your organization, including those used by third parties and vendors. 2/ Assess Risk Levels: Evaluate the risk associated with each AI component and application. 3/ Establish Appropriate Governance: Develop governance structures proportionate to the identified risks, including necessary processes, procedures, tools, and teams to operationalize responsible AI initiatives. 4/ Continuous Monitoring: Regularly monitor the performance and impact of AI systems, ensuring fairness, transparency, explainability, and accountability at every development stage. 5/ Educate Your Organization: Provide education on AI fundamentals, limitations, and areas requiring caution to all members. This promotes the identification of impactful AI applications while mitigating risks. A heartfelt thank you to Navrina Singh and the entire Credo AI team for uniting us and propelling this critical conversation forward! #responsibleai

It’s not every day your design work gets showcased at a major event halfway around the world 🌍🎨. I’m still riding the wave of excitement from contributing to Credo AI's Responsible AI Leadership Summit 2024, where Senators, researchers, and leaders from big tech came together to shape the future of AI. From brainstorming to execution, it’s been an incredible journey turning this vision into reality through design. Huge thanks to the wonderful team who made it all possible—and to my partners in crime: Catharina Doria 🤖Lucas Stewart Naysa Mishler! Grateful for the chance to progress a small piece of such an important mission—let’s keep building AI we can trust! 💻🤝 #ResponsibleAI #DesignForGood #EthicalAI #CredoAI #AI2024

Credo AI 's Responsible AI Leadership Summit is starting strong in the most beautiful location in SF today. Super grateful to be invited! I fully believe that #AI #Governance and #Risk Management is not only key to avoid negative impact for society but also a door opener for the returns of AI rollout across corporations. #raileadershipsummit2024 #aisure

I was honored to attend the Credo AI Responsible AI Leadership Summit over the last few days in lovely San Francisco, representing the Partnership on Employment & Accessible Technology (PEAT). Thanks to Navrina Singh and her whole #CredoAI team for the excellent summit speakers, content and networking opportunities! I especially enjoyed meeting two Credo AI staff who have participated in some of PEAT's activities surrounding our work on AI risk management on Inclusive Hiring: Ian Eisenberg and Amin Rasekh.

It was a pleasure to join Elham Tabassi, Evi Fuelle, and Wael William Diab for a vibrant conversation on global AI standards and commitments at Credo AI's Responsible AI Leadership Summit. As AI technologies rapidly evolve, the necessity for standardized, operationally relevant methods to evaluate their performance and safety becomes increasingly urgent. Today's conversation underscored the critical need for harmonized AI standards that recognize and adapt to the diverse requirements of different countries and regions. At MLCommons, we’re not starting from scratch. We’re drawing upon the collective expertise of our consortium – which spans engineers, scientists, and academics – to forge tools that uphold the rigor of scientific validation and are also practical for widespread enterprise application. Thank you to my fellow panelists for a thought-provoking discussion and to Navrina Singh and Credo for your engagement and commitment to advancing responsible AI practices globally. #aigovernance #responsibleai #aisafety