Applied AI Foundations for Risk, Safety, Health & Ergonomics

Build the baseline AI vocabulary, judgment and professional confidence required to use AI without confusing fluency with reliability. The course is intentionally nontechnical and grounded in day-to-day professional decisions.

Reserve Priority Access

This course is in development. Submitting interest does not guarantee availability or a reserved seat.

COURSE PURPOSE

Build a responsible foundation for applied AI

LEARNING OUTCOMES

Five outcomes grounded in professional judgment

01
Differentiate predictive analytics, machine learning, generative AI, natural-language processing, computer vision and AI agents, and match each method to appropriate professional tasks.
02
Screen a proposed AI use case using a practical value-risk-fit checklist that considers decision criticality, data sensitivity, worker impact and required human oversight.
03
Construct and refine prompts for risk, safety, health and ergonomics tasks using clear context, constraints, source requirements and structured output formats.
04
Verify AI-generated outputs against evidence, professional standards and domain knowledge, while identifying hallucination, omission, bias, uncertainty and automation-bias risks.
05
Complete an individual AI competency profile, prioritize near-term use cases and produce a 90-day responsible adoption plan for the learner or organization.

METHODS

What the course examines

AI concepts, terminology and lifecycle
Capabilities, limitations and common failure modes
Prompting, task decomposition and structured outputs
Evidence checking and source validation
Automation bias, uncertainty and professional accountability
Use-case identification and competency planning

APPLIED OUTPUT

A professional evidence package

AI competency self-assessment, role-specific use-case opportunity map, verified prompt set and a 90-day professional development and adoption plan.

ROLE IN THE ACADEMY PATHWAY

Entry course for every pathway

RAAI-AI101 is included in each approved credential pathway. Pathway status does not indicate current availability or completion eligibility.

In Development Certificate in AI Literacy and Responsible Use
In Development Applied AI Core Certificate
In Development Applied AI Specialist—Risk and Safety Intelligence
In Development Applied AI Specialist—Occupational Health, Ergonomics & Human Factors
Future Professional Certification Future Certified Applied AI Professional—RSH&E

RESPONSIBLE USE & GOVERNANCE

Use AI responsibly. Keep people accountable. Assure AI-enabled work systems.

Data protection rule

Learners should not upload identifiable health records, confidential incident information, employee data, intellectual property or regulated information into unauthorized public AI tools. Labs should use synthetic, public or properly de-identified data.

DEVELOPMENT STATUS

RAAI-AI101 is in development

Enrollment is not open. Schedule, pricing, delivery format, and instructors have not been announced.