AI Summer 2025 Week 1 Day 2: AI Security, Local Models & Ethical Implementation

In the second session of AI Summer 2025, the Data Science Institute at Vanderbilt University dives into critical considerations around AI security, exploring how to responsibly implement AI tools while maintaining data privacy and security.

Week 1 Day 2 Highlights:

Introduction to Vanderbilt's Amplify platform, a university-wide secure generative AI solution
Best practices for managing API keys and handling sensitive data responsibly
In-depth exploration of data classification standards and security implications for different sensitivity levels
Hands-on demonstrations of local inferencing options including LM Studio and Ollama
Special guest presentation from VUIT's cybersecurity team on AI implementation standards and governance frameworks
Practical strategies for balancing innovation with compliance requirements

This session equips researchers, students, and professionals with essential knowledge for implementing AI tools securely across various domains. Whether you're working with sensitive data, developing AI applications, or simply wanting to understand the security landscape around AI tools, this comprehensive guide provides valuable insights into responsible AI deployment.

Join us as we navigate the balance between leveraging powerful AI capabilities and maintaining robust security standards in today's evolving AI landscape.

Find out more: https://www.vanderbilt.edu/datascience/ai-summer/

Видео AI Summer 2025 Week 1 Day 2: AI Security, Local Models & Ethical Implementation канала Vanderbilt Data Science