AIHA University Webinar: Engaging the Workforce to Control SIF Risk: Applying AI, Safeguard Conversations, and the NSC SIF Prevention Model Using SafeWorkPlanAI
Earn 1 Contact Hour
This live webinar, along with access to the recording, is available exclusively to participants of the 2026 eLearning Subscription.

Preventing Serious Incidents and Fatalities (SIFs) requires more than procedures, audits, and lagging indicators—it requires high quality workforce engagement focused on the safeguards that control the most severe risks. Advances in applied artificial intelligence now make it possible to scale these engagement processes in practical, field ready ways without undermining trust or professional judgment.
This webinar introduces EHS professionals to foundational AI concepts relevant to safety, explains why structured engagement is essential for SIF prevention, and demonstrates how AI enabled tools can support—not replace—effective leadership and worker dialogue. Using the National Safety Council SIF Prevention Model as the organizing framework, the session shows how engagement-driven conversations connect SIF classification, risk identification, prioritization, and safeguard verification.
Participants will receive a guided demonstration of SafeWorkPlanAI, a free workforce engagement tool developed by CompScience. The tool helps leaders and workers focus conversations on critical SIF safeguards, align field-level insights with risk priorities, and capture learning in a consistent, scalable manner. Attendees will also have the opportunity to provide direct feedback on the tool’s usability, clarity, and alignment with their organization’s SIF prevention practices.
Practical scenarios and field tested examples will illustrate how AI enabled engagement tools can strengthen SIF prevention while minimizing administrative burden. The session concludes with free resources, implementation guidance, and structured avenues for participants to share insights that will shape future iterations of SafeWorkPlanAI.
Learning Objectives
After this webinar, participants will be able to:
- Describe how the National Safety Council (NSC) SIF Prevention Model organizes SIF identification, classification, prioritization, and safeguard verification, and explain why structured workforce engagement is critical to each component.
- Explain foundational AI concepts relevant to safety practice and differentiate between responsible, engagement supportive AI tools and those that could undermine trust or professional judgment.
- Identify critical safeguards associated with serious injury and fatality (SIF) risks and articulate how structured conversations improve the quality of field-level risk insights.
- Demonstrate how AI-enabled tools, including SafeWorkPlanAI, can support effective leader–worker dialogue by guiding safeguard-focused conversations, aligning observations with risk priorities, and capturing learning consistently.
- Apply practical strategies for integrating AI-supported engagement processes into existing SIF prevention efforts to strengthen risk control effectiveness while reducing administrative burden.
Presenters

Perry W. Logan, PhD, CIH
Perry is currently Senior Strategic Advisor, Workplace Safety Solutions, National Safety Council, Principle of Health + Safety Leadership Partners LLC and former Global VP for Corporate Safety & Health, Chemical Ops EHS. He holds degrees in chemical engineering (BS), occupational health (MS) and environmental health (PhD). Perry has extensive global EHS experience across many areas including manufacturing, hazardous waste operations, construction, R&D, emergency response and supply chain operations. Perry enjoys all aspects of EHS and routinely presents technical sessions and workshops on SIF Prevention, AI &EHS Integration, EHS Culture, Leadership and Teamwork, risk assessment and management, professional judgment, Layers of Protection analysis, EHS competency development, EHS auditing, ventilation design, exposure methods for epidemiology, Bayesian and mathematical exposure modeling. Perry has been very active in developing leadership skills for health and safety professionals through the AIHA Future Leaders Institute (FLI), Emerging Leaders Institute (ELI) and “EHS Leadership and Teamwork” workshops presented at conferences around the world.

Josh Butler
A visionary entrepreneur and product developer with a career rooted in AI, autonomous systems, and business transformation. Before founding CompScience, he led intelligent systems at Facebook and played a key role in NIO’s self-driving car program, pushing the boundaries of AI-driven innovation. Now, Josh is on a mission to make work fit for humans by leveraging AI and risk analytics to create safer workplaces. At CompScience, he’s revolutionizing workplace safety and redefining workers' compensation insurance through advanced computer vision technology —helping businesses prevent industrial accidents before they happen. His passion for transformative tech is shaping the future of workplace risk management, ensuring that innovation isn’t just about efficiency but also about protecting people.
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