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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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#1 about 2 min

Introduction to responsible artificial intelligence and societal impact

How responsible AI principles empower technology practitioners to build ethical platforms.

#2 about 4 min

Current artificial intelligence market growth and everyday applications

How massive industry investments drive widespread adoption of machine learning in consumer applications.

#3 about 4 min

Applying artificial intelligence frameworks for social good initiatives

How specialized machine learning projects solve critical problems in accessibility and environmental sustainability.

#4 about 3 min

Exploring breakthroughs in large generalist machine learning models

How recent generative tools represent significant strides toward artificial general intelligence.

#5 about 5 min

Real-world implications of facial recognition and surveillance failures

How unvetted algorithms cause significant harm in criminal justice and welfare systems.

#6 about 6 min

Addressing data bias in healthcare and recruitment algorithms

Why unrepresentative training data leads to disproportionate negative outcomes for marginalized groups.

#7 about 4 min

Conducting data audits and adversarial testing on models

How filtering raw datasets and attempting to break models prevents harmful downstream applications.

#8 about 3 min

Implementing human-in-the-loop validation and automated safety classifiers

How using human annotators and automated filters removes toxic terminology before deployment.

#9 about 3 min

Demonstrating transparency and privacy protection in machine learning

How standardized documentation and differential privacy ensure fair and secure consumer experiences.

#10 about 1 min

Embracing ethical responsibility in technology product development

Why developers must proactively build trustworthy products without waiting for external regulations.

Matching moments

3:08 min

Implementing responsible artificial intelligence frameworks to mitigate model bias

Alexander Wallner Alexander Wallner +3 · World Congress 2024

4:25 min

Assessing AI ethics adoption in the private sector

Björn Bringmann Björn Bringmann +3 · World Congress 2024

5:18 min

Addressing psychological safety and ethical risks of AI adoption

Vera Slavnić Vera Slavnić · Europe 2026 Virtual

4:17 min

Navigating emerging AI legal frameworks and business risks

Kilian Kluge +1 · World Congress 2022

40 sec

Evaluating safety and data privacy in new software tools

Yewande Oyebo Yewande Oyebo · Europe 2026 Virtual

6:00 min

Building trust and cultural adoption for ai frameworks

Kai Grunwitz Kai Grunwitz +2 · World Congress 2025

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Upcoming sessions on this topic

Open session

World Congress 2026 North America

September 25, 2026 · 16:10–16:40

Stage 5

Developer Liability in the AI Agent Era: Building Responsibly

Alla Barbalat

Freelancer Trade Show Spokesmodel and Tech Event Host

Alla Barbalat
Open session

World Congress 2026 North America

September 24, 2026 · 16:50–17:20

Stage 6

Who Tests the AI? Building Trustworthy AI Systems at Enterprise Scale

Him Raj Singh

Manager, Software Engineer at PayPal

Him Raj Singh
Open session

World Congress 2026 North America

September 24, 2026 · 10:20–10:50

Stage 4

AI Decision Observability: Enabling Transparency and Trust in Intelligent Systems

Amjad Shaikh, Soumil Mandal

Amjad Shaikh
Soumil Mandal
Open session

World Congress 2026 North America

September 24, 2026 · 15:30–16:00

Mainstage

Our Brains in the AI Era

Cassidy Williams

Senior Director of Developer Advocacy, GitHub

Cassidy Williams
Open session

World Congress 2026 North America

September 25, 2026 · 16:50–17:20

Outdoor Stage

Beyond the Code: Human-AI Synergies in Product Development

Ajita Kanchivakam Ananth

Staff Technical Program Manager at Google

Ajita Kanchivakam Ananth
Open session

World Congress 2026 North America

September 24, 2026 · 12:15–12:45

Stage 4

It's Not About the Models

Bob Wambach

Vice President, Market and Customer Insights for Dynatrace

Bob Wambach

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