PDC 040V: Ethically Empowering OEHS Professionals With AI Workflows – NEW!
Fri, 5/29: 8:00 AM - 5:00 PM CDT
P040V
Professional Development Courses (PDCs)
P040V
Professional Development Courses (PDCs)
Room: Virtual
CM Credit Hours: 7
Description
*Please note: PDCs are at an additional cost, and preregistration is required*
To register, please visit: https://aihaconnect.org/register
Artificial intelligence is rapidly reshaping the workplace, but occupational and environmental health and safety professionals are often left to cut through the noise on their own. This full-day professional development course is designed for mid- to late-career OEHS leaders seeking a practical, ethical and accessible introduction to AI without the hype.
Participants will explore how AI tools can enhance compliance, streamline reporting and support risk-informed decision-making across occupational health, safety and environmental programs. Through real-world case studies and hands-on demonstrations, attendees will learn how to apply AI in tasks such as hazard analysis, code and standard interpretation, training delivery and incident investigation.
The session will also address regulatory considerations, data integrity and the ethical boundaries of AI in professional practice. The course is built on the Applied AI for ESH Professionals framework and follows guidance from the newly published AIHA document "Using AI to Enhance OEHS", to which the instructor contributed.
Together, these resources provide a structured approach that includes:
• A clear overview of AI concepts and terminology tailored for OEHS
• Ethical decision-making strategies aligned with BGC and BCSP codes of conduct
• Practical workflows integrating AI with low-code and no-code tools to automate repetitive tasks
• Methods for validating AI outputs and maintaining professional accountability
• An understanding of the risks and responsibilities involved in deploying AI in the OEHS field
By the end of the day, participants will leave with a toolkit of immediately applicable strategies, a deeper understanding of the risks and opportunities of AI and the confidence to lead AI adoption within their organizations.
*Note: This PDC will be conducted in Zoom. Please ensure the computer on which you will participate will allow Zoom to access all necessary computer systems including speakers, microphone, and camera.*
To register, please visit: https://aihaconnect.org/register
Artificial intelligence is rapidly reshaping the workplace, but occupational and environmental health and safety professionals are often left to cut through the noise on their own. This full-day professional development course is designed for mid- to late-career OEHS leaders seeking a practical, ethical and accessible introduction to AI without the hype.
Participants will explore how AI tools can enhance compliance, streamline reporting and support risk-informed decision-making across occupational health, safety and environmental programs. Through real-world case studies and hands-on demonstrations, attendees will learn how to apply AI in tasks such as hazard analysis, code and standard interpretation, training delivery and incident investigation.
The session will also address regulatory considerations, data integrity and the ethical boundaries of AI in professional practice. The course is built on the Applied AI for ESH Professionals framework and follows guidance from the newly published AIHA document "Using AI to Enhance OEHS", to which the instructor contributed.
Together, these resources provide a structured approach that includes:
• A clear overview of AI concepts and terminology tailored for OEHS
• Ethical decision-making strategies aligned with BGC and BCSP codes of conduct
• Practical workflows integrating AI with low-code and no-code tools to automate repetitive tasks
• Methods for validating AI outputs and maintaining professional accountability
• An understanding of the risks and responsibilities involved in deploying AI in the OEHS field
By the end of the day, participants will leave with a toolkit of immediately applicable strategies, a deeper understanding of the risks and opportunities of AI and the confidence to lead AI adoption within their organizations.
*Note: This PDC will be conducted in Zoom. Please ensure the computer on which you will participate will allow Zoom to access all necessary computer systems including speakers, microphone, and camera.*
Course Outline
• AI foundations for OEHS
o Demystifying terminology, core concepts and categories of AI relevant to safety, health and environmental work.
• Industry landscape
o Where AI is being applied today, including compliance, hazard identification, training and incident investigation.
• Ethics and professional standards
o Using AI responsibly, aligned with BGC and BCSP codes of conduct. Includes one hour of ethics credit.
• AI in practice
o Case studies on hazard analysis, code and standard interpretation and reporting.
• Introduction to VIBE coding (guided group exercise)
o Participants begin building simple one-endpoint-per-intent workflows together, laying the foundation for the afternoon capstone.
• Low-code and no-code automations
o Demonstrations of AI-driven workflows for compliance, training and data management.
• Scaling VIBE coding
o Building on the morning's exercise, participants add logic, validation and data handling to their workflows.
• Risk management and accountability
o Validating AI outputs, avoiding misuse and protecting data integrity.
• Capstone: Group VIBE coding build
o Teams collaboratively design and test a practical AI workflow tailored to an OEHS scenario, such as a hazard banding tool, preliminary hazard assessment screening or incident analysis.
• Change leadership
o Communicating opportunities and limitations of AI to peers, leadership and regulators.
o Demystifying terminology, core concepts and categories of AI relevant to safety, health and environmental work.
• Industry landscape
o Where AI is being applied today, including compliance, hazard identification, training and incident investigation.
• Ethics and professional standards
o Using AI responsibly, aligned with BGC and BCSP codes of conduct. Includes one hour of ethics credit.
• AI in practice
o Case studies on hazard analysis, code and standard interpretation and reporting.
• Introduction to VIBE coding (guided group exercise)
o Participants begin building simple one-endpoint-per-intent workflows together, laying the foundation for the afternoon capstone.
• Low-code and no-code automations
o Demonstrations of AI-driven workflows for compliance, training and data management.
• Scaling VIBE coding
o Building on the morning's exercise, participants add logic, validation and data handling to their workflows.
• Risk management and accountability
o Validating AI outputs, avoiding misuse and protecting data integrity.
• Capstone: Group VIBE coding build
o Teams collaboratively design and test a practical AI workflow tailored to an OEHS scenario, such as a hazard banding tool, preliminary hazard assessment screening or incident analysis.
• Change leadership
o Communicating opportunities and limitations of AI to peers, leadership and regulators.
Learning Outcomes
Upon completion, the participant will be able to:
• Define key AI terminology and concepts needed to understand how these tools function.
• Differentiate between appropriate and inappropriate applications of AI within OEHS settings.
• Apply ethical decision-making frameworks aligned with BGC and BCSP codes of conduct to AI-driven scenarios.
• Analyze case studies demonstrating AI applications in hazard analysis, regulatory interpretation, and incident investigation.
• Construct simple VIBE-coding workflows using the 'one-endpoint-per-intent' approach.
• Enhance those workflows with logic, validation, and data-handling elements to ensure accuracy and reliability.
• Evaluate the ethical risks, responsibilities, and data integrity considerations when deploying AI tools in OESH practice.
• Formulate a practical AI adoption plan that communicates opportunities and limitations to organizational leadership and regulators.
• Define key AI terminology and concepts needed to understand how these tools function.
• Differentiate between appropriate and inappropriate applications of AI within OEHS settings.
• Apply ethical decision-making frameworks aligned with BGC and BCSP codes of conduct to AI-driven scenarios.
• Analyze case studies demonstrating AI applications in hazard analysis, regulatory interpretation, and incident investigation.
• Construct simple VIBE-coding workflows using the 'one-endpoint-per-intent' approach.
• Enhance those workflows with logic, validation, and data-handling elements to ensure accuracy and reliability.
• Evaluate the ethical risks, responsibilities, and data integrity considerations when deploying AI tools in OESH practice.
• Formulate a practical AI adoption plan that communicates opportunities and limitations to organizational leadership and regulators.
Prerequisites
Attendees must bring a computer. To get full value from the course, they should sign up for free accounts to OpenAI's ChatGPT, n8n (no-code automation platform), and Lovable (vibe coding tool). Value increases tremendously if attendees have paid versions of these software, but isn't fully necessary.
Value Added
Participants will gain hands-on experience with VIBE coding to build micro OEHS software tools, along with practical AI strategies and ethics frameworks that can be applied across all functional areas of their discipline.
*This course qualifies for one hour of ethics credit toward the five hours required by the Board for Global EHS Credentialing for CIH recertification.*
*This course qualifies for one hour of ethics credit toward the five hours required by the Board for Global EHS Credentialing for CIH recertification.*
Business Case/IH Value Statement
This course prepares OEHS professionals to navigate a major industry-disrupting technology by equipping them with the skills to responsibly integrate artificial intelligence and build cross-functional micro tools that help reduce employee risk and enhance organizational value.
Learning Aids
Laptop
Content Level
Intermediate
Core Competencies
Administrative Controls
Risk Assessment
Risk Management
Keywords
Education and training
OHS Management systems, auditing, and compliance
Regulatory compliance
Risk assessment and management
Safety
Session Availability
Virtual
Targeted Audience
Professional
Transfer of Knowledge
Case Studies
Group activities
Hands-on demonstrations and practicum
Live Polling
Practical Application
Problem Solving /Practice Exercises
Small Group Discussion