Architecture for AI-Chat-Assistants in Academia – Compliant and Trustworthy Through an Algorithmic Framework

The EU requirements for “Trustworthy AI” emphasize high-quality data, compliance with legal regulations in data processing and storage, system control, and ensuring AI serves the well-being of users.

An AI system architecture for universities should integrate these principles from the outset.

It can be achieved through an algorithmic framework that embeds trust as a fundamental design element—a ‘trust-driven architecture’.

We propose the following architecture and align our development with it, as it combines user-friendliness on one hand and control/governance on the other.

Pitching AI-Assistants at Stanford/CA/USA

Stanford University, nestled in the heart of Silicon Valley, is a global hub for innovation and entrepreneurship. This region has been the birthplace of countless transformative technologies, and Stanford itself is a pioneer in academic and industry collaboration. It was an honor to present at the Stanford Faculty Club to the advisory board of the Trans-Nation Co-Creation program (TNCC), sharing insights on innovation in universities through AI. Here is the pitch text:

“There are universities that make things happen (like Stanford), universities that watch things happen, and universities that, after a while, wonder what happened.

Why will they ‘wonder what happened’? They underestimate the exponential growth and power of AI. They failed to integrate AI into all learning topics and relevant university processes in teaching and administration.

We at TrOn are analyzing university processes and turning them into intelligent code for 20 years. Our new approach is based on combining old-school algorithmic intelligence with new-school generative intelligence. Only this combined approach can create effective, attractive, and legally secure systems.

That’s where our platform SMARTA steps in. SMARTA stands for Student Motivation and Reflective Trainings AI-Assistants. It is used by thousand of students every day. These chatbots work as 24/7 student coaches. As a coach, for effective 1-on-1 coaching, you need background information about the student. And this is what makes SMARTA unique. Our Chatbots know the student’s background from the start of the conversation – knowing their name, gender, and age, but also their courses, study program, current lectures, next exam, and even whether they’re good or bad at math. Our Chatbots know what should be learned and even create quizzes, trying to keep the student in the flow between boredom and overwhelming stress in the learning process. Over time, our Chatbots remember important details, simulating empathy and building a connection.

Aligned with UN SDGs for Health and Education, we’re seeking a partner with access to UN funds to help scale this on a larger, international scale. If interested, let’s connect.”

 
Background on the TNCC-program: https://transnationinnovation.de/

The Sustainable Development Goals

Do you know the SDGs? The Sustainable Development Goals (SDGs) are global goals set by the United Nations to promote sustainability and improve quality of life worldwide. 🌍✨ We had the amazing opportunity to visit the United Nations in New York, where we learned more about the SDGs and got some incredible insights from someone who actively worked on their implementation. Guess which goal is closest to our hearts? 🤔 Hint: It has something to do with where our company bag is placed. 😉 You got it right: SDG 4 – Quality Education for All! 📚🎓 🗽 Education is and always will be the key to a better future – and we at TraiNex are dedicated to making that happen! 🚀💡

Podcast: AI Maturity Matrix for Higher Education

In this deep dive, Linny & Sam discuss the “AI Maturity Matrix” — a roadmap for universities and their role in the future of AI. The nine stages, from “AI Experimenter” to “Process Pro,” offer insights into how higher education institutions can advance their research and teaching in the field of artificial intelligence.

More Info: http://AI-Matrix.KI-Campus.eu

The recording was created using the NotebookLM podcast tool.