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Platform-Native Ethical AI

Conf42 via YouTube

Overview

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Explore how to build ethical AI systems directly into platform engineering practices in this 12-minute conference talk from Conf42 Platform Engineering 2025. Learn to address the platform engineer's dilemma of balancing efficiency with ethical considerations while discovering the return on investment of implementing ethical AI platforms. Master automated ethical testing techniques and understand platform-native ethical frameworks that can be integrated into your development workflow. Examine a real-world healthcare AI platform case study that demonstrates practical implementation of ethical principles at scale. Gain insights into cloud-scale ethical monitoring systems and cross-functional governance models that ensure responsible AI deployment. Understand the key components needed to build an ethical AI platform from the ground up, including automated testing pipelines, monitoring systems, and governance frameworks that work seamlessly with modern platform engineering practices.

Syllabus

00:00 Introduction and Overview
01:18 The Platform Engineer's Dilemma
02:25 ROI of Ethical AI Platforms
03:56 Automated Ethical Testing
05:11 Platform Native Ethical Frameworks
06:26 Case Study: Healthcare AI Platform
07:25 Cloud Scale Ethical Monitoring
08:52 Cross-Functional Governance
09:57 Building an Ethical AI Platform
11:04 Key Takeaways and Conclusion

Taught by

Conf42

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