Draft:AI Red Teaming Tool
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Comment: LinkedIn is not a reliable source, event listings are primary and not in-depth and the paper does not mention the tool. See Your first article for guidance. S0091 (talk) 16:07, 4 May 2025 (UTC)
| Developer(s) | Chenyi Ang |
|---|---|
| Initial release | 2024 |
| Type | Adversarial AI, AI safety, red teaming |
| License | Proprietary |
| Developer(s) | Chenyi Ang |
|---|---|
| Initial release | 2024 |
| Type | Adversarial AI, AI safety, red teaming |
| License | Proprietary |
AI Red Teaming Tool is a proprietary software framework designed for adversarial testing of artificial intelligence (AI) systems. It was developed by Malaysian AI strategist and inventor Chenyi Ang to simulate dynamic threats and evaluate model robustness, with applications in AI safety audits and compliance-oriented risk assessment.
Features
[edit]The framework combines generative adversarial networks (GANs) with reinforcement learning (RL) to generate adaptive adversarial inputs. It is designed to identify issues such as hallucinations, policy violations, and robustness flaws across a variety of generative models including large language models (LLMs), image generators, and voice agents.
Development
[edit]The AI Red Teaming Tool is the subject of a patent application filed by Chenyi Ang. The filing describes a multi-phase system where adversarial samples are optimized and assessed against ethical, legal, and compliance benchmarks. The tool was developed independently and is positioned to support automated testing methods in AI safety and governance.
Relevance
[edit]The AI Red Teaming Tool has been privately shared with select authorities and agencies involved in AI governance, including during expert consultations and policy engagements. While it has not been publicly released, its intended use cases align with emerging regulatory frameworks focused on risk-based AI assurance. These include the Singapore Model AI Governance Framework for Generative AI, which emphasizes robustness, compliance, and risk management in generative AI systems.
In 2024, Chenyi Ang was featured as a speaker at The AI Summit Singapore, where he joined a panel discussion on AI governance, sharing insights on the future of artificial intelligence and data regulation. LinkedIn reference
See also
[edit]References
[edit]- The AI Summit Singapore 2025 – Qwoted Event Listing
- LinkedIn: The AI Summit 2025 – Chenyi Ang speaking on AI Governance
- Model AI Governance Framework for Generative AI – AI Verify Foundation (2024)
External links
[edit]Category:Artificial intelligence Category:Cybersecurity Category:Software testing