From the course: AI Product Security: Foundations and Proactive Security for AI
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AI risk management
From the course: AI Product Security: Foundations and Proactive Security for AI
AI risk management
- [Instructor] Welcome back. In this video, we will talk about AI risk management. As AI continues to transform industries, the risks associated with it are evolving. Managing these risks require a structured and proactive approach supported by frameworks that ensure AI systems operate safely, securely, and ethically. You can think of AI risk management like managing traffic in a bustling city where the traffic planners identify accident prone zones and they adjust the signals to prevent mishaps from occurring. Similarly, AI teams identify system vulnerabilities, assess their potential impact, and implement strategies to prevent disruptions. The process begins with risk identification. This involves identifying potential threats such as data exposure, algorithmic failures, and system vulnerabilities in either a new AI system your team is building or an existing one. Once risks are identified, the next step is to assess them based on two key factors. The first one is likelihood, or how…
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