Understanding AI Blind Spots

AI systems can be incredibly powerful, but they also come with their own set of limitations and blind spots. Our Understanding AI Blind Spots course will help you identify and address these hidden issues, ensuring your AI solutions are robust, fair, and reliable.

Who Should Take This Course?

This course is ideal for AI developers, data scientists, project managers, and business leaders who want to ensure their AI systems are comprehensive and reliable.

Course Format:

Lectures, facilitator presentations, guided discussions, practical hands-on exercises (both individual and large-group), collaborative discussions, and action planning.

Payment Information: We accept credit card payments. To register using a purchase order (without a surcharge), please send the purchase order to customerservice@hazadvisors.com

Learning Objectives

Understand the concept of AI blind spots and why they matter.
Identify common blind spots in AI systems.
Implement techniques to detect and mitigate blind spots in AI models.
Assess the impact of AI blind spots on decision-making and outcomes.
Ensure AI fairness and transparency by addressing hidden biases.
Develop strategies for continuous monitoring and improvement.

Course Topics

Introduction to AI Blind Spots

Common AI Blind Spots

Detecting AI Blind Spots

Mitigating AI Blind Spots

Assessing Impact

Ensuring Fairness and Transparency

Monitoring and Improvement

Prerequisites

To make the most out of this course, you should have:

Class Schedule

We accept credit card payments. To register using a purchase order (without a surcharge), please send the purchase order to customerservice@hazadvisors.com

**Rates below are for each participant.

August 29 - August 29, 2024

9:00 AM – 5:00 PM EST