We're thrilled to share our latest 2-minute video that articulates the vision for how Trustible supports customers operationalizing their AI governance strategy. Much like seatbelts and brakes enabled cars to go faster, so can AI governance accelerate responsible AI development & deployment. The Trustible Responsible AI Governance platform helps customers: 🤝 Demonstrate trustworthy practices and governance controls to your customers or regulators 🛡️ Manage and measure the benefits and risks of your AI systems ⚖️ Ensure compliance with AI regulations and international standards 💡Leverage best-in-class recommendations, insights, and best practices on AI governance to make sure you’re managing both the speed of change of the technology and the regulatory environment Whether you're looking for an out-of-the-box solution or a customizable platform to meet your unique needs, Trustible is your partner in navigating the complexities of AI with confidence. YouTube link 👉 https://lnkd.in/dd4Q77g8 #AI #ResponsibleAI #AIGovernance
Trustible
Technology, Information and Internet
Washington , DC 1,720 followers
Trustible is the best way to document, manage, and report on your AI Governance strategy to build trust and reduce risk.
About us
At Trustible, our mission to help organizations manage and mitigate AI risk, build trust, and accelerate Responsible AI development. Trust in AI systems, and the organizations deploying them, is the single most important factor that will drive successful AI adoption. The way AI is developed and deployed is going to go through a radical transformation, moving away from the traditional software development lifecycle of moving fast and breaking things, and more towards a process of how other high risk products are developed, such as medical devices, where potential harms and risks are closely tracked and mitigated. Trustible can guide organizations through that change and help enable them with the workflows, documentation tools and reporting capabilities necessary for that more regulated future. Building trust and deploying AI ethically goes beyond just good governance and regulatory compliance. Trustible helps you say it, do it, and prove it.
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https://www.trustible.ai/
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- Industry
- Technology, Information and Internet
- Company size
- 2-10 employees
- Headquarters
- Washington , DC
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- Privately Held
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Washington , DC, US
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Updates
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Trustible is honored to have been recognized as one of Northern Virginia Technology Council (NVTC)'s Tech 100 Honorees, highlighting the company as one of the top 100 innovators in Northern Virginia. Our co-founder & CTO, Andrew Gamino-Cheong, was also recognized as one of the NextGen Leaders in our region. Thank you for NVTC for continuing to promote innovation and entrepreneurship in our region. And congratulations to all of the companies in the list!
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Trustible reposted this
🎉 Congratulations to the #2024Tech100 NextGen Leaders! Mitchell Bennett | Colleen Cahill | Andrew Gamino-Cheong | Kalyan Gottipati | Ishva Kanani #NVTC #WhereTechThrives #Tech100Celebration
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Trustible reposted this
🎉 Congratulations to Trustible for being named to the #2024Tech100 list of honorees! Innovators Assemble to celebrate Trustible and other honorees on Dec 10: https://lnkd.in/eHr4YDuh #NVTC #WhereTechThrives #Tech100Celebration #NVTCTech100
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The term 'AI Monitoring' is often overused and underdefined. Moreover, different teams interpret monitoring requirements in different ways. In Trustible's latest blog post, we discuss the difference between the concepts of ‘internal’ monitoring and ‘external’ monitoring and and the crucial role that each play in ensuring the safety, effectiveness, and compliance of AI systems. Internal monitoring focuses on the technical health and performance of the AI system, while external monitoring involves gathering and responding to real-world feedback and usage data. Moreover, we highlight the specific sections of the NIST AI RMF, ISO 42001, EU AI Act, Colorado Consumer Protection for AI act, and Singapore's Model AI Governance Framework that require organizations to have these monitoring processes and systems in place. Read our full post in comments.
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Trustible reposted this
🎉 Congratulations to Andrew Gamino-Cheong from Trustible for being a recipient of the #2024Tech100 award! Innovators Assemble to celebrate Andrew and other honorees on Dec 10: https://lnkd.in/eHr4YDuh #NVTC #WhereTechThrives #Tech100Celebration #NVTCTech100
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Trustible and our Co-Founder & CTO, Andrew Gamino-Cheong, are honored to have been recognized as a Northern Virginia Technology Council (NVTC) #2024Tech100 honoree! This award recognizes Trustible as one of Northern Virginia's leading companies – alongside others such as Booz Allen Hamilton, ManTech, Mastercard, Maximus, Shift5, ScienceLogic, The Knot Worldwide, and others. Andrew has been recognized as a NextGenLeader Honoree alongside Mitchell Bennett, OPEXUS; Colleen Cahill, IQT (In-Q-Tel), Kalyan Gottipati, Citizens; and Ishva Kanani, Amazon Web Services (AWS). Read the press release here 👉 https://lnkd.in/e5pTdJ-V
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Trustible reposted this
Founder of Startuprad.io | Top 3 European Startup Podcast | Connecting Advertisers to Germany's Leading Startup Audience
🔊 Exciting news! Our latest episode of Startuprad.io is now live, featuring an insightful discussion on the AI Act with Andrew Gamino-Cheong, CTO and Co-Founder of Trustible. Join us as we delve into emerging AI regulations and real-world applications. 🌍 The AI Act: How Europe's New Regulation Shapes Responsible AI Development 🎙 Key Takeaways: Navigating AI Regulations: Learn about state-level legislation in the US, including Colorado's noteworthy measures mirroring EU's AI Act. Discover best practices for entrepreneurs to stay compliant. Transparency and Documentation: Understand the importance of meticulous documentation and transparency in AI development to ensure compliance and create robust legal protections. Ethical AI Development: Explore the subjective nature of bias in AI and the importance of balancing ethical frameworks across different cultural and legal landscapes. Tune in now and stay ahead of the curve in the evolving landscape of AI regulations! 🎧 👤 Don't forget to check out the show notes for links to Andrew's LinkedIn profile and Trustible's website. #AI #AIACT #AIRegulations #Podcast #StartupNews #AICompliance #Transparency #EthicalAI #Innovation 🔗Link in the Comments
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Live now! Join us https://lnkd.in/gqMX-hem
📣 𝐉𝐨𝐢𝐧 𝐮𝐬 𝐟𝐨𝐫 𝐨𝐮𝐫 𝐧𝐞𝐱𝐭 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 𝐋𝐢𝐯𝐞! 📣 While bias and fairness in AI are widely discussed, many struggle to define it. Once you define it, you must understand how to identify, measure, and solve for it. Join us for a webinar on October 31, 2024, at 12:30 PM ET, as we explore what organizations can do when they discover AI bias. Our expert panel includes: 𝐏𝐚𝐫𝐭𝐢𝐜𝐢𝐩𝐚𝐧𝐭𝐬 ◾ Andrew Gamino-Cheong | Co-Founder & CTO, Trustible ◾ Patrick Hall | Assistant Professor, The George Washington University; Hall Research; National Institute of Standards and Technology (NIST) AI RMF Contributor ◾ Sean Perryman | Global Head of AI & Fairness Policy, Uber; Adjunct Professor, Marymount University In this webinar, we'll cover: 🔹 Basic terminology and common issues in AI bias and fairness 🔹 Methods for measuring bias in AI systems 🔹 Practical steps to take when bias is discovered 🔹 Trade-offs in addressing AI bias This session aims to dispel misconceptions about AI model biases and provide insights for data scientists and risk/compliance managers. Register below!
What to do when you discover AI bias
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