HumaneIntelligence

🚨 Learn Red-Teaming with HydroX AI & HumaneIntelligence at #RSA2025 🚨 Don't miss our RSAC learning lab, "Human vs Machine," on April 28th! You'll get hands-on experience uncovering vulnerabilities in LLMs in a collaborative environment. Led by Victor Bian (COO, HydroX AI) and Theodora Skeadas (Chief of Staff, Humane Intelligence), this session will cover: 🔑 Adversarial testing workflows 🔐 Red-teaming hands-on practices 🤖 Strengthening AI security for the future This is a must-attend event for anyone involved in or concerned about the security of AI, particularly LLMs. 🔗 Learn more here: https://www.hydrox.ai/rsac #RSA2025 #AIsecurity #redteaming #LLM #HydroXAI #HumaneIntelligence #AISafety #AI #MachineLearning

We’re excited to see our CEO and Co-founder, Dr. Rumman Chowdhury, featured alongside tech leaders from IBM and Qualcomm in this new piece from the University of Cincinnati's 1819 Innovation Hub. The article explores how human-centered AI and quantum breakthroughs are shaping the next era of technology. In her interview, Dr. Chowdhury calls attention to the need for a broader, more equitable AI ecosystem—one built on diversity of providers, accessible open-source tools, and clear pathways for public accountability. “Open source is the backbone of the tech industry. It’s what makes tech accessible.” At Humane Intelligence, we’re proud to be building tools and communities that empower people to test, evaluate, and reshape AI systems from their perspective. 🔗 Read the full article: https://lnkd.in/eaqnG3zN

Explore Human + Machine Collaboration in AI Red Teaming at #RSA2025! Humane Intelligence and HydroX AI are coming together at RSA Conference 2025 to host a hands-on Learning Lab: "Human vs. Machine" — happening April 28th. This interactive session will give participants a chance to probe large language models (LLMs) in real time, identifying vulnerabilities and learning how to think adversarially—but ethically—about AI systems. Co-led by Theodora Skeadas (Chief of Staff, Humane Intelligence)and Victor Bian (COO, HydroX AI), the session will dive into: - Adversarial testing workflows - Hands-on red-teaming techniques - Strengthening AI security for the future If you’re working on or interested in AI risk, safety, or governance, this is a session you won’t want to miss.

In every language, everywhere, human rights belong to all of us. They are non-negotiable. Learn about the Universal Declaration of Human Rights: https://lnkd.in/gwknCdvT #StandUp4HumanRights

Next week, I look forward to joining Var Shankar, Dr. Laura Caroli, and Ani Gevorkian at the IAPP's Global Privacy Summit, to discuss security implications of foundational models.

New #CfP of the #CambridgeForum on #AI: Law and Governance for a themed issue on #AIpowered #ContentModeration, guest editors: Joan Barata and Natalie Alkiviadou, editors in chief: Dr. Rumman Chowdhury, Dr. Megan Ma, Martin Ebers The deadline for submissions is 31 October 2025. Deadline for final version of originals after review process is 31 December 2025. More information: https://lnkd.in/ePWWBacV Rebecca O'Rourke Cambridge University Press & Assessment

Our CEO and Co-founder, Dr. Rumman Chowdhury, spoke today at the Harvard Radcliffe Institute's Gender and AI Conference—a powerful interdisciplinary gathering exploring the intersection of gender, technology, and equity. As a speaker on Session 3: Policy and Advocacy, Dr. Chowdhury joined fellow leaders to discuss how public policy can address systemic gender inequities in artificial intelligence. With AI systems increasingly shaping our lives and perceptions, this session tackled the urgent need for ethical frameworks, inclusive datasets, and human-centered governance. “Even small gender biases in AI can amplify real-world inequalities,” as UNESCO notes—and we couldn’t agree more. See more information about the event in the link in comments.

We’re excited to be featured in The American Bazaar for our upcoming RSAC Learning Lab: Human vs. Machine, co-hosted with HydroX AI! -Join us on April 28 at RSA Conference 2025 for a hands-on red teaming session that explores the evolving role of AI in security assessment. Participants will individually tackle 20+ real-world challenges—including hallucinations, political sensitivity, bomb threats, and system prompt extraction. 📍RSAC 2025 | Moscone Center | April 28 | 1:10–3:10 PM PT “Red teaming is one of the most effective ways to make AI safer. But it only works when we open up the process to diverse perspectives.” – Dr. Rumman Chowdhury, CEO, Humane Intelligence Read more: https://lnkd.in/g_WKdM3S

🚅 🏆 On a long train ride, I tackled the AI bias in environmental decision-making challenge by HumaneIntelligence — looking into data of tree planting. And made first place in the data analysis challenge. More companies should feature these kind of initiatives around data and AI. Usually with these things I like to talk about the How, but with this one the Why is more interesting - Let’s start with the uncomfortable truth: All data and for that matter, AI is biased. Not because it’s malicious, but because it learns from us—our data, our history, our mess. Feed it a thousand images of "beauty" and it will reflect back our collective preferences, prejudices, and blind spots. Show it some van Gogh and it will echo the same petals, styles, and ideals we've historically chosen to elevate. AI doesn’t just reflect the world as it is—it reflects the world as we’ve portrayed it. and it is out there to use these reflections at scale. So what do you do to stay sharp - for my part every now and then I dig deep into some data. Analyze it, find the general concepts, the biases, its most important features. I usually come back very humbled when faced with the complexity of our world, which in recent times gets hidden away in the reduced form of an AI model's output - we should not get used to these easy truths. Leave your data and AI challenge recommendations in the comments. Kaggle is great go to for starters. *prompt: "photorealistic image, looking onto a tree through a train window."

Bias Bounty 3 tackled AI bias in environmental decision-making—ensuring tree planting recommendations are fair, community-driven, and ecologically informed. In our latest blog post, winners share what they learned and why it matters: 🏆 Yashashree Garge (1st – Thought Leadership):  “By fostering critical discussions and addressing biases in environmental decision-making, we can move toward more inclusive and effective policies.” 🏆 Mark Schutera (1st – Beginner Technical):  “Bias is not a glitch in AI – it’s part of its very nature and our techno-social task to provide guardrails.” 🏆 Mayowa Osibodu (1st – Intermediate Technical):  “This challenge helped me step back and really understand the problem—then build a relevant, responsible solution.” 🏆 Nagesh Mohan (2nd – Intermediate Technical): “This was a valuable learning experience in building fair, explainable models to support real-world reforestation planning.”  Read their full reflections in our new blog post (link in comments). Mark Schutera Yashashree Garge Mayowa Osibodu