A4: Understanding Serious AI Safety Risks With Computer Vision and Machine Learning

Kansas City Convention Center 

Room: 2504 A 

CM Credit Hours: 1 

AI is revolutionizing workplace safety. Despite advances, the rate of serious injuries and fatalities has not significantly declined. Cognitive biases hinder our ability to predict and prioritize catastrophic events. This session will present the following topics: 1) AI tools can overcome biases; 2) these tools can detect hazards and provide continuous monitoring; 3) natural language processing (NLP) can extract insights from incident reports and accident descriptions; 4) NLP can uncover hidden patterns and precursors to severe incidents; 5) advanced statistical techniques can prioritize risks; 6) companies have successfully implemented AI technologies to manage risks; and 7) these tools can transform safety protocols. This fast-paced session offers practical insights and demonstrations. Whether you're a safety professional, executive, or technical expert, you'll be equipped with innovative AI strategies.

Upon completion, the participant will be able to:

• Apply computer vision techniques to identify high-risk scenarios.
• Analyze incident reports using natural language processing (NLP).
• Implement AI-driven monitoring systems, including 3D sensors like Lidar.
• Describe cognitive biases that affect risk assessment.
• Discuss how AI tools can overcome biases to improve safety outcomes.
• Use AI technologies to transform traditional safety practices. 

Advanced

Q&A

Quiz

Corporation/Company

Aerospace

Manufacturing

Public Utilities

Also part of the Virtual Program

Available as part of AIHA Connect OnDemand

Big Data, AI, and Sensor Technologies

Computer/Mobile Apps and Tools

Management/Leadership