Wild Intelligence by Yael Rozencwajg

Wild Intelligence by Yael Rozencwajg

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Wild Intelligence by Yael Rozencwajg
Wild Intelligence by Yael Rozencwajg
🚀 Human-AI collaboration and governance
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🚀 Human-AI collaboration and governance

Online course module 4/5 from building safe intelligence systems

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Yael Rozencwajg
Nov 04, 2024
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Wild Intelligence by Yael Rozencwajg
Wild Intelligence by Yael Rozencwajg
🚀 Human-AI collaboration and governance
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🚀 Human-AI collaboration and governance | Online course module 4/5 from building safe intelligence systems
🚀 Human-AI collaboration and governance | Online course module 4/5 from building safe intelligence systems

Human-AI collaboration and governance (online course)

Hello,

The "Building safe intelligence systems" delves into the critical aspects of AI safety and security, providing you with the knowledge and tools to navigate this rapidly evolving landscape. We explore:

  • The ethical foundations of AI: Understanding the values and principles that should guide AI development and deployment.

  • Mitigating AI threats: Identifying and addressing potential biases, vulnerabilities, and unintended consequences.

  • Building robust and resilient AI systems: Developing secure AI architectures and implementing safeguards against adversarial attacks.

  • Fostering collaboration and transparency: Creating open and inclusive AI governance and knowledge sharing processes.

Read more on the why and how:

🚀 Building safe intelligence systems: moving beyond the AI dystopia (new online course)

🚀 Building safe intelligence systems: moving beyond the AI dystopia (new online course)

Yael Rozencwajg
·
October 7, 2024
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This syllabus provides a comprehensive framework for the "Building safe intelligence systems" series.

The extracted parts are focused on understanding the approach to adopt before the full course is released.

Each module's specific content and format will be further detailed, including practical/technical aspects, recommendations, and real-world applications exploration to meet the needs and interests of each one:

Module 1: Foundations of AI safety (first week)

Module 2: Bias, fairness, and explainability (second week)

Module 3: Security and robustness (last week)

Module 4: Human-AI collaboration and governance (this week)

Module 5: Emerging challenges and future trends

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