How AI Alignment Will Save Your Life (and your vehicle)

Kognic's sensor-fusion annotation platform helps train AI models for autonomous vehicles (AVs), ensuring reliable performance and safety compliance. Co-Founder and CEO Daniel Langkilde shares how managing AI-driven datasets is key to the future of autonomous driving.

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In order for AVs to perform safely and reliably, we need to teach them the language of human preference and expectations—and accelerating AI alignment can do just that.

Enter Kognic, the industry-leading annotation platform for sensor-fusion datasets (e.g., camera, radar, and LIDAR data). By helping companies gather, organize, and refine massive datasets used for training AI models, Kognic is helping to ensure that AD/ADAS perform reliably and meet safety standards—all while minimizing costs and optimizing teams.

Episode 261 Chapters:
00:32 The Shift to End-to-End Models in Autonomous Driving
02:58 Technical Advantages and Challenges of End-to-End Models
06:09 Kognic's Role in Autonomous Driving
09:38 Data Collection and Annotation for AI
25:32 Global Expansion and Cultural Considerations
35:34 Future of AI in Autonomy
38:26 Conclusion and Final Thoughts

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