Kush Varshney कुश वार्ष्णेय

🚨 Is Explainable AI (XAI) broken at its core? A landmark new study addresses this — and charts a path forward. 📄 Check it out: arxiv.org/pdf/2602.24176 #ExplainableAI #XAI #ArtificialIntelligence #MachineLearning #ResponsibleAI #AIResearch #LLMs #DeepLearning

Nice to see this benchmark dataset on LLM-supported rare disease diagnosis and confirmation. paper: thelancet.com/journals/landi… github: github.com/zhao-zy15/Rare… #healourskin #raredisease

@Timur_Yessenov Then we're on the same page. I also think that humans hold contradictory moral beliefs.

@krvarshney disagree with the disagree tbh. humans absolutely hold contradictory moral beliefs - we just don't notice until someone points it out. the interesting question isn't whether llms should be consistent, it's whether moral inconsistency is actually a feature

I disagree with the statement "we do not expect human beings to hold within themselves multiple different sets of moral beliefs and values" that appears in a paper about LLM moral reasoning that was published yesterday. nature.com/articles/s4158…

We have extended our ICLR workshop deadline to Feb 5th! #AFAA2026 Submit your work on fairness across alignment & agentic AI systems. We also continue to accept broad work on fairness. CfP: afciworkshop.org/call-for-papers

4th graders welcomed RB parent Kush R. Varshney, an IBM Fellow who volunteered his time to explain how AI works—its benefits and pitfalls—with a tailored presentation featuring our school song and a Charlotte’s Web excerpt. Grateful for his generosity & expertise! #WeAreChappaqua

Grateful to have co-hosted the Trusted AI Symposium yesterday. Left with so many new ideas from the posters, panels, and lectures. 🧠 Big thanks to our keynote speakers, panelists, and staff for driving the conversation on trust in AI.🤝 #TrustedAISymposium2026

How transparent are major AI companies? We answer this question each year in the annual Foundation Model Transparency Index. While the AI industry as a whole is quite opaque, we found a huge spread. @IBM scored a 95/100 while @xai scored 14/100. So what's going on? 🧵

As a follow up from the 2025 AAAI report on the future of AI research, we are organizing several deep dives into some of the topics covered by the report. The next webinar will be on December 11th at 1pm Eastern time and includes AI experts who will discuss AI Factuality and Trustworthiness. Register here: aaaiforms.wufoo.com/forms/q47sc7n1… Topics include: Understanding Factuality, Beyond Accuracy, and Practical Solutions. Our Expert Panel: Oren Etzioni, Founder TrueMedia.org, Professor Emeritus University of Washington Henry Kautz, Professor of Computer Science, University of Virginia at Charlottesville Kush Varshney, IBM Fellow and Co-Director IBM Science for Social Good Moderated by: Francesca Rossi, AAAI past president, IBM Fellow and AI Ethics Global Leader. Whether you're an AI professional, researcher, or simply curious about the future of AI, this discussion will offer valuable insights into one of technology's most consequential frontiers.

📣 @StanfordCRFM just released the 2025 Foundation Model Transparency Index, which evaluates transparency practices across major foundation model developers. This year's headline? Transparency regresses across industry, reversing last year's gains. crfm.stanford.edu/fmti/December-…

🤔 The 2025 Foundation Model Transparency Index just dropped, and the results are brutal: - Average score fell to 41% (down 17 points from 2024) - Only 30% of companies even bothered to submit reports - IBM crushed it at 95% - OpenAI (35%), Meta (31%), xAI (14%) all tanked Are we moving backward on AI transparency at the exact moment we need it most? If transparency keeps collapsing while capabilities explode, who actually benefits? What’s your take: is this a red flag or just growing pains? 🚩 #AI #Transparency #StanfordHAI

I♡NY

"When language no longer requires belief, AI’s fluency becomes a kind of anesthesia. And we are the ones it sedates. I’m reminded of T. S. Eliot’s ghostly image of a “patient etherized upon a table,” alive yet emptied of agency." psychologytoday.com/us/blog/the-di…

IBM is partnering with @Hacker0x01 to stress-test Granite AI models. Through a new bug bounty, researchers are invited to adversarially attack Granite to help us identify and defend against emerging threats: ibm.co/6017BHGc5

IBM Research releases the In-Context Explainability 360 toolkit — a suite of open-source tools designed to help developers and AI practitioners better understand the context behind an LLM’s output: ibm.co/6016ByDrj The toolkit features three core methods: ⤵️

IBM Granite 4 has improved instruction following and tool-calling capabilities. micro (3B) ollama run granite4:micro micro-h (3B) ollama run granite4:micro-h tiny-h (7B) ollama run granite4:tiny-h small-h (32B): ollama run granite4:small-h

.@IBM becomes the first major open-source AI model developer to earn ISO 42001 certification: ibm.co/6015BJmet This recognition affirms our leadership in responsible AI, validating our commitment to safety, transparency, and governance.

IBM Granite 4.0 models Beats GPT OSS 120B for instruction following 😯

IBM is back! They just joined Hugging Face Enterprise & released Granite 4.0 in open-source with a new hybrid Mamba/transformer architecture that reduces memory requirements without reducing accuracy much. This set of models is great for agentic workflows like tool calling, document analysis, RAG, especially in an enterprise setup 🚀 The "Micro" (3.4B) model can even run 100% locally in your browser on WebGPU, powered by 🤗 TransformersJS! 3B dense hybrid: huggingface.co/ibm-granite/gr… 3B MoE with 1B active: huggingface.co/ibm-granite/gr… 32B MoE with 9B active: huggingface.co/ibm-granite/gr… 🗂️ Full Model collection: huggingface.co/collections/ib… 🔗 In-browser demo: huggingface.co/spaces/ibm-gra…