Expert Interview: “We Can Explain” — Beth Rudden on Making AI Understandable

Expert Interview “We Can Explain” — Beth Rudden on Making AI Understandable

Expert Interview “We Can Explain” — Beth Rudden on Making AI Understandable

Interviewed by: Nishkam, Founder – Honest AI Magazine

In this exclusive conversation, Beth Rudden, founder of BastAI and former IBM Distinguished Engineer, shares how her journey from information architecture to ethical AI has shaped one of the most compelling narratives in responsible tech today.

Beth, named one of the Top 100 Ethics Stars in AI, dives deep into what explainability really means, the myth of the black box, and how startups and regulators can think smarter about trust, transparency, and AI adoption.

This interview is part of our ongoing commitment at Honest AI to bring bold, unfiltered perspectives to the forefront of the explainable AI movement.

Beth Rudden — From IBM to Bast AI: A Visionary’s Journey

Beth Rudden’s career trajectory is a testament to her unwavering commitment to ethical and explainable artificial intelligence (AI). With over two decades at IBM, she held pivotal roles such as Distinguished Engineer, Chief Data Officer, and Global Talent Transformation Leader. Her tenure at IBM was marked by the transformation of analytics and AI into a $2 billion enterprise, emphasizing the importance of trusted AI solutions.

In 2022, driven by a desire to democratize ethical AI, Beth founded Bast AI. The company’s mission is to redefine the human experience through practical and trusted AI solutions, focusing on creating systems that are transparent, grounded, and auditable.

Bast AI: Pioneering Explainable AI in Healthcare

Bast AI stands at the forefront of explainable AI, particularly in the healthcare sector. The company’s innovative approach involves a semantic graph model that understands context, not just content. This model ensures that AI decisions are traceable and aligned with human reasoning, providing deterministic answers rooted in clinical protocols.

For instance, when a pararescue medic inquires about abdominal trauma, Bast AI retrieves the exact procedure from established medical protocols, eliminating uncertainties associated with black-box models.

Technical Foundations: Ontologies and Knowledge Graphs

At the core of Bast AI’s technology is the use of ontologies and knowledge graphs to ground AI outputs in established data sources. This approach allows the system to provide contextually relevant and explainable responses. By mapping entities and their relationships, Bast AI creates a framework where AI decisions can be audited and understood by users, fostering trust and reliability.

Bast Makes AI Simple, Scalable, and Ready to Go

Let’s face it — AI can feel like a black box. Powerful? Yes. Understandable? Not always. That’s where the Bast AI Engine changes the game. It gives teams everything they need to build AI systems that are not just smart, but transparent, trustworthy, and easy to integrate into real-world applications.

So, what makes Bast so powerful (and practical)?

  1. A Solid Foundation You Can Trust
    At the heart of Bast is a strong infrastructure for explainable AI. It’s the layer that powers everything else — giving your AI models the computing muscle they need while making sure the results are understandable. No more “mystery outputs.” You get clarity, control, and confidence from day one.

  2. Your Data, Handled the Right Way
    AI is only as good as the data behind it. Bast takes care of the entire pipeline — pulling in your data, cleaning it up, organizing it, and delivering it where it’s needed. It’s like having a data operations team baked right into your platform.

  3. Tools That Let You Move Fast
    Not every team has the time (or desire) to build everything from scratch. That’s why Bast includes pre-built interfaces tailored for popular AI tasks. Whether it’s language, vision, or predictions — the tools are there, built to save time and reduce headaches.

  4. Easy Integration, Real Impact
    The best AI is the kind you don’t have to think about. Bast’s top layer makes it easy to hook into your apps and products, so your users get seamless, smart experiences — with the help of APIs (and natively using some productivity apps).

Why Bast AI? Because You Deserve Better AI

Bast is built for teams who want more than just machine learning. It’s built for those who want clear, explainable, and reliable AI — without all the complexity. Every layer works together to support your goals, speed up your development, and take the mystery out of machine intelligence.

With Bast AI, building your own explainable AI is no longer a dream — it’s your next project. 

Commitment to Ethical AI and Education

Beyond her corporate achievements, Beth is a recognized thought leader in AI ethics. She co-authored AI for the Rest of Us, a book aimed at demystifying AI and making it accessible to a broader audience. Her accolades include being named one of the “100 Most Brilliant Leaders in AI Ethics” in 2023 and receiving a Lifetime Achievement Award from the IBM Academy of Technology.

Beth’s vision for AI is clear: systems should be designed with humans at the center, ensuring transparency, accountability, and trust. Through Bast AI, she continues to champion the development of AI technologies that not only advance capabilities but also uphold the values essential to human-centric innovation. 

Future Outlook: Expanding the Reach of Explainable AI

Looking ahead, Beth aims to expand Bast AI’s impact across various sectors, including education and environmental sustainability. The company is exploring partnerships to integrate its explainable AI solutions into different industries, emphasizing the importance of transparency and ethical considerations in AI applications.

Beth’s dedication to fostering educational and innovative pursuits is mirrored in her active role on the Maryville University Board of Trustees, where she tirelessly works to sculpt the next generation of innovators.

Her journey from IBM to founding Bast AI illustrates a profound commitment to creating AI systems that are not only technologically advanced but also ethically grounded and human-centric. Her work continues to inspire and set a benchmark for responsible AI development in the healthcare industry and beyond.

Beth Rudden is not just building smarter AI—she’s building braver, kinder systems that put humanity first. In a world racing toward automation, she reminds us that trust, truth, and transparency are the real innovations.  

Contributor:

Nishkam Batta

Nishkam Batta

Editor-in-Chief – HonestAI Magazine
AI consultant – GrayCyan AI Solutions

Nish specializes in helping mid-size American and Canadian companies assess AI gaps and build AI strategies to help accelerate AI adoption. He also helps developing custom AI solutions and models at GrayCyan. Nish runs a program for founders to validate their App ideas and go from concept to buzz-worthy launches with traction, reach, and ROI.

Contributor:

Nishkam Batta

Nishkam Batta
Editor-in-Chief - HonestAI Magazine AI consultant - GrayCyan AI Solutions

Nish specializes in helping mid-size American and Canadian companies assess AI gaps and build AI strategies to help accelerate AI adoption. He also helps developing custom AI solutions and models at GrayCyan. Nish runs a program for founders to validate their App ideas and go from concept to buzz-worthy launches with traction, reach, and ROI.

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