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World Congress 2022 • Jun 15, 2022

A walkthrough on Responsible AI Frameworks and Case Studies

Toju Duke

Unchecked machine learning can cause severe real-world harm. Are your models inheriting toxic biases? Learn to implement rigorous data audits and safety classifiers today.

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Matching moments

3:08 min

Implementing responsible artificial intelligence frameworks to mitigate model bias

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4:25 min

Assessing AI ethics adoption in the private sector

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5:18 min

Addressing psychological safety and ethical risks of AI adoption

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4:17 min

Navigating emerging AI legal frameworks and business risks

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40 sec

Evaluating safety and data privacy in new software tools

Yewande Oyebo Yewande Oyebo · Europe 2026 Virtual

44 sec

Introduction to AI safety and responsible architecture

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Upcoming sessions on this topic

Open session

Engineering AI Strategy: Beyond the Hype

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    ADSK

    Engineering Leader

Open session

Beware of Strangers Bearing Code: Open Source Trust in the Agent Era

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    GitHub

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AI at the Door, Turning ‘Tech Debt Panic’ into ‘Tech Debt Repairs’

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Ship Happens: Guardrails for AI-Written Code

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    LaunchDarkly

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Built-In AI in the Browser: Practical Capabilities for Modern Web Apps

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    Expedia

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