UNDERSTANDING AI BLIND SPOTS
Course 3311
1 Day
$599
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
- Defining AI blind spots and their significance
- Examples of blind spots in real-world AI applications
Common AI Blind Spots
- Data biases and limitations
- Algorithmic blind spots
- Systemic and contextual blind spots
Detecting AI Blind Spots
- Techniques for identifying blind spots in data and models
- Tools and frameworks for blind spot detection
Mitigating AI Blind Spots
- Strategies for addressing data biases
- Algorithmic adjustments and enhancements
- Ensuring diverse and representative data sets
Assessing Impact
- Evaluating the effects of AI blind spots on outcomes
- Case studies of AI blind spots and their consequences
Ensuring Fairness and Transparency
- Best practices for transparent AI development
- Communicating limitations and blind spots to users
Monitoring and Improvement
- Setting up systems for ongoing detection and mitigation
- Updating models and processes to reduce blind spots over time
Prerequisites
To make the most out of this course, you should have:
- No Prerequisites Required
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
Understanding AI Blind Spots Virtual, EST
$599
Class ID: 3311
September 23 - September 23, 2024
9:00 AM – 5:00 PM EST
Understanding AI Blind Spots Virtual, EST
$599
Class ID: 3311
October 28 - October 28, 2024
9:00 AM – 5:00 PM EST
Understanding AI Blind Spots Virtual, EST
$599
Class ID: 3311
November 8 - November 8, 2024
9:00 AM – 5:00 PM EST
Understanding AI Blind Spots Virtual, EST
$599
Class ID: 3311
January 17 - January 17, 2025
9:00 AM – 5:00 PM EST
Understanding AI Blind Spots Virtual, EST
$599
Class ID: 3311
February 10 - February 10, 2025
9:00 AM – 5:00 PM EST
Understanding AI Blind Spots Virtual, EST
$599
Class ID: 3311
March 14 - March 14, 2025
9:00 AM – 5:00 PM EST
Understanding AI Blind Spots Virtual, EST
$599
Class ID: 3311