AI Red Teaming at Microsoft

Study Notes

Red Teaming in AI Technology

Red teaming involves adversarial hacking of one's own technology to identify vulnerabilities and mitigate risks.
Insights gathered help enhance the safety and robustness of AI technology.

Emerging Themes in AI

Rapid evolution of AI technology presents both advanced capabilities and new vulnerabilities.
The attack surface for AI vulnerabilities is continuously expanding, complicating security measures.

Personal Impact of AI

Discussions about AI increasingly focus on personal stories and impacts, emphasizing human-centric implications of the technology.
AI's integration into applications is accelerating, leading to its presence in everyday micro-decision-making.

AI Red Team Mission

The mission includes assessing both security-focused vulnerabilities and responsible AI harm.
The objective is to address the socio-technical challenges posed by the integration of AI technology.

Principles of AI Red Teaming

The team operates with a principled approach aligned with Microsoft’s established AI principles.
Key principles focus on security, privacy, reliability, safety, fairness, and inclusion throughout the product lifecycle.

Transparency and Accountability

Emphasized as foundational elements in both daily work and broader industry engagement.
Commitment to open sourcing thinking and technology, fostering collaboration and collective improvement.

Threat Spaces in AI

The primary threat spaces are categorized into three main areas, starting with AI application security.
Each threat space highlights potential risks that could hinder the delivery of essential product objectives.

Description

Join Tori Westerhoff and Pete Bryan as they delve into the concept of red teaming specifically for AI technology at Microsoft. This session explores how adversarial hacking can improve tech security by predicting real-world threats and harms. Learn how these insights shape safer technological innovations.