Join us for another insightful session where we dive into AI trust, explainability, and security. We’ll explore techniques like SHAP and LIME for AI interpretability, discuss security best practices, and examine how UiPath ensures compliance with industry standards. Through real-world examples and hands-on activities, you’ll gain a deeper understanding of responsible AI practices.

Objective: Ensure reliability, governance, and compliance in AI workflows

Don’t miss this chance to be at the forefront of the automation revolution. Register now and join us for a series of insightful and interactive webinars!

Why Join Us?

• Expert Insights: Learn from industry leaders and UiPath experts.
• Practical Knowledge: Hands-on activities and real-world examples.
• Networking: Connect with peers and expand your professional network.
• Exclusive Content: Access to recordings and resources post-webinar.

Topics:

• AI Explainability: Understanding SHAP & LIME techniques

• SHAP vs LIME: Comparing methodologies for model interpretation
• UiPath AI Trust Layer: Architecture and key functionalities
• Security Best Practices
• PII, PHI, and sensitive data masking
• Harmful content moderation
• Server security: authentication, authorization, and data storage policies
• Governance & Compliance:
• Industry standards, legal, and regulatory requirements
• Ethics & responsible AI considerations
• Context Grounding Component Architecture
• Context Grounding in UiPath Automations