As AI systems become deeply embedded in software development, the question isn’t whether machines will assist us, it’s how we ensure they do so responsibly.

Trustworthy AI isn’t just about algorithms; it’s about preserving human judgment, creativity, and ethics in every loop.

This talk explores practical strategies for building AI-driven solutions that prioritize transparency, fairness, and accountability while amplifying human potential.

We’ll dive into:

• Human-in-the-Loop Design: Why human oversight is critical for mitigating bias and ensuring ethical outcomes.
• Principles of Trustworthy AI: Explainability, reliability, and inclusivity as non-negotiables.
• Real-world Practices: How developers can integrate governance and empathy into AI workflows without slowing innovation.

Attendees will leave with actionable insights to craft systems that are not only intelligent but also aligned with human values because in the age of AI, trust is the ultimate feature.

As AI accelerates software development, writing code is no longer the hardest part, but alignment, context, and decision-making are.

In this keynote, Jovana explores how intelligent systems are reshaping the entire software lifecycle, from planning to production, and why human judgment, reasoning, creativity, and empathy are a requirement.

This talk reframes AI as an amplifier, not a replacement, offering practical insights on building more intentional, traceable, and human-centered engineering workflows.

There’s a lot of hype around AI, and also a lot of disappointment.

Learn how to use (and not overuse) AI to develop better software, and to quality check it with observability.