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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.

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#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 · World Congress 2022

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

1:39 min

Balancing value and risk for responsible artificial intelligence

Seppe Housen Seppe Housen · Europe 2026 Virtual

3:08 min

Managing the impact of AI on software trust

Serge Baumberger Serge Baumberger · Europe 2026 Virtual

3:17 min

Balancing AI regulation with technological innovation in human resources

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

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