🎤 Speaker Profile

Name: Dr. Marcus Feldman

Title: Head of AI Systems at DeepSymmetry Labs

Background: Dr. Marcus Feldman is a leading researcher in AI interpretability and systems architecture. With a PhD in Computational Neuroscience and over a decade of experience designing scalable machine learning infrastructure, he now focuses on aligning artificial intelligence with human values. He’s published over 30 peer-reviewed papers and is a regular advisor to tech policy boards across Europe and North America.

🔮 Talk Title:

“The Invisible Layer: Understanding the Intelligence Behind the Interface”

🔍 Talk Description:

Artificial intelligence is powering more of our lives than we realize—but most users never see beneath the surface. In this deep-dive keynote, Dr. Marcus Feldman demystifies how modern AI systems “think,” and why explainability, interpretability, and architectural choices matter more than ever.

With real-world examples, from chatbots to autonomous systems, Marcus will explore how seemingly small design decisions in AI can shape trust, transparency, and long-term impact. This is a must-attend for anyone building—or using—intelligent systems.

Key Takeaways:

• Why interpretability is the next frontier in AI design

• How architecture decisions impact ethics, bias, and performance

• Real-world case studies from AI in healthcare, justice, and finance

• A mental model for assessing AI systems beyond the hype

🧠 Sample Keynote Opening:

[Slide 1: Title Slide — Marcus Feldman | The Invisible Layer]

“When you open your favorite app, book a ride, or ask your digital assistant a question—you’re not talking to ‘AI.’ You’re talking to the visible layer.”

“Beneath that layer is something we rarely see. An invisible lattice of math, decisions, biases, architecture—often too complex for even the creators to fully understand. And that’s where the real power—and danger—of AI lives.”

🧾 BIOS

🔹 Short Bio:

Dr. Marcus Feldman is Head of AI Systems at DeepSymmetry Labs. A researcher and engineer, he focuses on the inner workings of intelligent systems and how to make AI more transparent, ethical, and accountable.

🔹 Long Bio:

Dr. Marcus Feldman is a computational neuroscientist turned AI systems architect. As the Head of AI Systems at DeepSymmetry Labs, Marcus leads efforts in interpretability, architecture, and systems ethics for large-scale AI platforms. His research bridges the gap between deep learning theory and practical implementation, with a focus on building AI that is understandable, responsible, and robust. Marcus has worked with leading universities, policy boards, and Fortune 100 companies to guide ethical and scalable use of artificial intelligence in real-world domains.