WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
World Congress 2025 • Aug 20, 2025 • Session details

Responsible AI @ Microsoft - Governance, Standards, Learnings

Rebekka Weiss , Tobi Müller

Microsoft shaped its AI governance long before the generative boom, treating the tech as a volatile operating system. Learn how they automate safety testing to build Copilots, not Autopilots.

Pause
Mute Enter Fullscreen
#1 about 2 min

Integrating regulatory policy into responsible artificial intelligence

Regulatory policy shapes responsible AI governance beyond mere legal compliance to include code and shared learnings.

#2 about 2 min

Addressing risks upfront in an AI-first strategy

Recognizing AI as a powerful operating system requires mitigating potential weaponization before market release.

#3 about 2 min

Grounding AI principles in established security standards

Broad principles like fairness must translate into practical operations built upon existing privacy and reliability criteria.

#4 about 3 min

Identifying and hardening against generative AI risks

New risk vectors like prompt injection and harmful code require ongoing iterative testing and behavioral adjustments.

#5 about 2 min

Utilizing the NIST framework for risk management

Standardized approaches facilitate mapping, measuring severity based on user scale, and managing contextual AI risks.

#6 about 2 min

Building diverse teams for comprehensive risk assessment

Inclusion of varied professional backgrounds ensures robust identification of contextual risks and proper accessibility implementation.

#7 about 3 min

Documenting and publishing responsible AI standards externally

Publicly sharing internal learnings and red teaming guidelines prevents effort duplication and establishes broader industry safety.

#8 about 3 min

Structuring organizational governance for responsible AI initiatives

A dedicated governance office bridging leadership, engineering, policy, and research streamlines risk mitigation across entire product portfolios.

#9 about 2 min

Enhancing product safety through continual red teaming operations

Aggressive testing environments simulate malicious interactions to identify and repair critical vulnerabilities proactively.

#10 about 3 min

Maintaining strict data governance and privacy protections

Integrating rigorous data tracking throughout the development cycle prevents unauthorized access to internal corporate information via prompts.

#11 about 2 min

Scaling manual risk testing with automated tooling

Initial human-led identification processes feed into automated systems to expand safety parameters horizontally and vertically.

#12 about 3 min

Prioritizing human review and oversight in AI interactions

Designing core interfaces around human-in-the-loop decisions guarantees that AI serves societal and educational needs safely.

#13 about 1 min

Publishing transparency reports for shared industry advancement

Yearly summaries of internal developments and evolving regulatory standards keep the global engineering community informed.

#14 about 1 min

Conducting thorough assessments before product launch points

Final checks against responsible AI frameworks ensure systems are as secure as possible before deployment dates.

#15 about 2 min

Shaping global regulations to benefit organizational AI usage

Collaborating with international governments to build coherent compliance structures unlocks the widespread societal potential of artificial intelligence.

Matching moments

1:34 min

Introduction to responsible artificial intelligence and societal impact

Toju Duke · WWC 2022

4:25 min

Assessing AI ethics adoption in the private sector

Björn Bringmann Björn Bringmann +3 · WWC 2024

5:18 min

Addressing psychological safety and ethical risks of AI adoption

Vera Slavnić Vera Slavnić · Europe 2026 Virtual

1:39 min

Balancing value and risk for responsible artificial intelligence

Seppe Housen Seppe Housen · Europe 2026 Virtual

3:17 min

Balancing AI regulation with technological innovation in human resources

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

1:47 min

Evaluating ethical responsibilities for AI product integration

Krzystof Czieslak · LIVE

More from World Congress 2025

GenAI Security: Navigating the Unseen Iceberg thumbnail
24:33
10 months ago

GenAI Security: Navigating the Unseen Iceberg

Maish Saidel-Keesing

Behind the Code: How Women Are Powering the Future of AI thumbnail
30:28
12 months ago

Behind the Code: How Women Are Powering the Future of AI

Alexandra Wudel, Laura Moritz, Madalina Florean

The AI Hype Filter: What’s Real, What’s Investable, What’s Noise? thumbnail
28:12
12 months ago

The AI Hype Filter: What’s Real, What’s Investable, What’s Noise?

Justus Lumpe, Konstantin Vinogradov, Nils Eiteneyer, Stephan Wirris

AI in Leadership: How Technology is Reshaping Executive Roles thumbnail
28:19
12 months ago

AI in Leadership: How Technology is Reshaping Executive Roles

Bernd Datler, Jasmin Kaiser, Jeff Hausmann, Sonja Alvarez

The AI-Ready Stack: Rethinking the Engineering Org of the Future thumbnail
28:09
12 months ago

The AI-Ready Stack: Rethinking the Engineering Org of the Future

Alex Laubscher, Jan Oberhauser, Keno Dreßel, Mirko Novakovic

AI Sovereignty: What Does It Take? thumbnail
29:13
12 months ago

AI Sovereignty: What Does It Take?

Boris Hecker, Clemens Wasner, Robin Hermann, Sonja Alvarez

Upcoming sessions on this topic

Open session

World Congress 2026 North America

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

Him Raj Singh

PayPal, Manager, Software Engineer

Him Raj Singh
Open session

World Congress 2026 North America

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

The Broken Rung: How AI is Rebuilding Software Development from the Ground Up

Tomislav Tipurić

Chief Technology Officer, Nephos

Tomislav Tipurić
Open session

World Congress 2026 North America

Responsible AI Architecture with Zero Trust Agents

Ashok Prakash

Staff ML Engineer at Apple

Ashok Prakash
Open session

World Congress 2026 North America

Reinventing Testing Practices in the AI Era

Eric Deandrea

Java Champion & Senior Principal Software Engineer, IBM

Eric Deandrea
Open session

World Congress 2026 North America

Beyond the Code: Human-AI Synergies in Product Development

Ajita Kanchivakam Ananth

Staff Technical Program Manager at Google

Ajita Kanchivakam Ananth

Related videos

Introduction to Responsible AI: Balancing Value and Risk thumbnail
31:21
Europe 2026 Virtual • about 1 month ago

Introduction to Responsible AI: Balancing Value and Risk

Seppe Housen

Responsible AI in Practice: Real-World Examples and Challenges thumbnail
29:35
WWC 2024 • almost 2 years ago

Responsible AI in Practice: Real-World Examples and Challenges

Björn Bringmann, Mina Saidze, Ray Eitel-Porter, Steffen Bosse

Trust by Design: Creating Responsible AI-Powered Services thumbnail
25:51
WWC 2025 • 12 months ago

Trust by Design: Creating Responsible AI-Powered Services

Christoph Bräunlein, Dr. Marc Fuchs, Eva Stepkes, Niklas Harzheim

Rethinking Recruiting: What you didn’t know about Responsible AI thumbnail
28:07
WWC 2024 • almost 2 years ago

Rethinking Recruiting: What you didn’t know about Responsible AI

Jaap Kersten, Vincent Slot

A walkthrough on Responsible AI Frameworks and Case Studies thumbnail
28:05
WWC 2022 • about 4 years ago

A walkthrough on Responsible AI Frameworks and Case Studies

Toju Duke

The shadows that follow the AI generative models thumbnail
28:30
WWC 2023 • almost 3 years ago

The shadows that follow the AI generative models

Cheuk Ho

Related articles

From learning to earning

Jobs that call for the skills explored in this talk.