Name: Bias-Busting AI with a Cloud Native Approach - Rajas Kakodkar, Broadcom
Start: 2024-12-12T14:55:00+0530
End: 2024-12-12T15:30:00+0530

In-person
11-12 December
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Thursday December 12, 2024 2:55pm - 3:30pm IST

Room 4

As Large Language Models gain prominence, the discussion around AI fairness and ethics has never been more pressing. Cloud Native is emerging as the standard infrastructure for training, deploying, and serving AI workloads, but its role doesn't stop there—it can also play a crucial part in minimizing bias in AI models. This session will delve into: - Mapping Cloud Native principles like attestation and supply chain fundamentals to AI workloads, enhancing explainability and providing actionable recourse. - Leveraging Kubernetes' reconciliation loop to offer feedback that corrects false positives in AI output. - Utilizing the distributed nature of cloud computing to decentralize AI power, promoting more responsible automation. This session is designed for AI practitioners seeking insights from the Cloud Native tech stack, infrastructure beginners looking to understand its extensibility, and experts and maintainers aiming to extend the boundaries of current Cloud Native infrastructure.

Speakers

Rajas Kakodkar

Staff Engineer at Broadcom | Tech Lead at CNCF TAG Runtime, Broadcom

Rajas is a staff engineer at Broadcom and a tech lead of the CNCF Technical Advisory Group, Runtime. He is actively involved in the AI working group in the CNCF. He is a Kubernetes contributor and has been a maintainer of the Kube Proxy Next Gen Project. He has also served as the... Read More →

Thursday December 12, 2024 2:55pm - 3:30pm IST
Room 4

AI_dev Sessions, Responsible AI: Ethics + Security + Governance in AI

Content Experience Level Any

KubeCon + CloudNativeCon India 2024

Rajas Kakodkar

Attendees (1)

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