2025-09-25 –, Apollo
Ethics is often treated like a product feature—something to be added at the end, polished for compliance, or marketed for trust. But what if that mindset is exactly what’s holding us back?
In this keynote, we’ll challenge the idea that ethics is optional or external to the development process. We’ll explore how ethical blind spots in AI systems—from biased models to black-box decisions to unsustainable compute—aren’t just philosophical dilemmas, but human failures with real-world consequences.
You’ll learn how to spot ethical risks before they become failures, and discover practical tools and mindsets to build AI that earns trust—without compromising on innovation. From responsible data practices to transparency techniques and green AI strategies, we’ll connect the dots between values and code.
This isn’t just a lecture—it’s a call to rethink how we build the future of AI—together.
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