Unlocking the Future of AI - Interview with Daniel Langkilde

In a recent interview with David Leichner for Authority Magazine, our CEO & Co-Founder Daniel Langkilde shares insights into how human feedback is shaping the future of artificial intelligence (AI). Langkilde's journey into AI began with a fascination for how machines can learn from human judgment—a principle that remains at the core of Kognic's mission today.

Why Human Feedback Matters for AI

Daniel Langkilde highlights key opportunities where human feedback accelerates AI development:

1. Unlocking Global Potential: AI systems guided by human judgment can address complex, real-world challenges more effectively.
2. Accelerating Safe Autonomy: Human feedback helps autonomous systems learn faster and align with human expectations, particularly in safety-critical applications.

Addressing Challenges in AI Development

Langkilde acknowledges important considerations for responsible AI:

1. Operational Excellence: Ensuring ethical practices, quality data, and efficient human-in-the-loop workflows.
2. Alignment and Safety: Building AI systems that behave in ways that feel safe and consistent with human values—something that cannot be derived from data alone.

Daniel Langkilde's insights reinforce Kognic's core belief: machines learn faster with human feedback. By integrating cost-efficient, scalable human feedback into data pipelines, teams can train and validate autonomous systems that are safe, reliable, and aligned with human expectations. To read the full interview and learn more about the future of AI development, visit Authority Magazine.