Responsible AI attribution frameworks & professional AI training
15 years consulting → 9 years Red Hat → 4 years Boston University. Training the next generation of professionals to use AI responsibly and effectively.
Every idea connects to another —exploring how 25+ years of platform innovation creates unexpected bridges between domains.
Recent insights on AI attribution, professional training, and responsible integration.
Prompts are ephemeral — one issue, one prompt, one fix. Here's why I stopped treating them like durable artifacts and started putting them where they belong: on the issue itself.
Current AI attribution approaches fail to address real-world adoption challenges. While industry solutions like IBM's toolkit offer important first steps, they miss the social and professional dynamics that shape practice across different professional contexts. Drawing from my experience integrating GenAI across multiple courses and developing systematic attribution practices, here's what's missing from current research.
Getting started with containers? One cool way to start is by making a container that can run an application that is unavailable on your host operating system.
As you probably know, I teach an Introduction to Data Science class, DS-100, which is geared to students with little or no computing background. The class borrows content, themes, examples, etc. from a class at UC Berkeley called Data 8. The Data 8 team has been running a National Workshop on Data Science Education for…
When deciding on a Technical Stack, based on open source tools, one must always keep track of the popularity of the stack components and their future. As an organization supporting experiential learning for students, Spark! also has a unique constraint on our technical stack. We want to be sure that students are utilizing tools and technologies that will be relevant in the workforce when they graduate.
My journey from platform consulting to Red Hat engineering to Boston University initiatives has shaped a unique perspective on responsible AI integration. I focus on building attribution frameworks that make human-AI collaboration transparent and effective.
Learn More About My WorkSpeaking engagements, initiative partnerships, professional AI training, and consulting on responsible GenAI integration.
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