Certified Generative AI Health and Safety Professional

1. Generative AI Fundamentals and Workplace Applications : Introduces generative AI concepts, large language models, common AI tools, workplace applications, automation, AI-enabled decision support, human-AI interaction and the potential benefits and limitations of generative AI in occupational environments.

2. Generative AI Health and Safety Risk Identification : Develops understanding of AI-related hazards, foreseeable misuse, inaccurate or unsafe outputs, automation risks, human-factor issues, over-reliance on AI, decision-support risks and potential impacts on workers, organisations and operational environments.

3. AI Risk Assessment and Preventive Controls : Covers AI risk identification, likelihood and consequence assessment, control selection, hierarchy-of-controls thinking, risk treatment, human oversight, verification procedures, testing, monitoring and the integration of AI risks into existing workplace risk-management processes.

4. Safe and Responsible Use of Generative AI : Examines human supervision, output verification, bias, hallucinations, misinformation, privacy, confidentiality, data protection, intellectual property, cybersecurity awareness, ethical use and responsible AI practices in workplace health and safety activities.

5. AI-Enabled Incident Prevention, Monitoring and Response : Develops knowledge of AI-related incident scenarios, monitoring controls, early warning indicators, escalation procedures, human intervention, incident investigation, corrective action, lessons learned and continual improvement following AI-related failures or unsafe outcomes.

6. Generative AI Governance, Training and Workplace Implementation : Covers AI policies, roles and responsibilities, user competency, worker consultation, training requirements, acceptable-use procedures, governance controls, documentation, AI system lifecycle considerations and practical approaches to implementing generative AI safely within organisations.

7. Applied Generative AI Health and Safety Management Project : Requires learners to integrate their knowledge through an applied project involving identification of an AI-enabled workplace activity, risk assessment, control measures, human-oversight arrangements, worker guidance, monitoring requirements and recommendations for safe implementation.

• Develops practical understanding of generative AI and workplace safety.

• Builds capability to identify AI-related health and safety risks.

• Strengthens AI risk-assessment and control-selection skills.

• Develops responsible and safe AI-use practices.

• Improves understanding of human oversight and verification of AI outputs.

• Builds knowledge of AI-related incident prevention and response.

• Develops awareness of AI governance, training and workplace implementation.

• Provides an applied project demonstrating practical AI safety-management capability.

• Supports professional development in the emerging field of AI and occupational health and safety.

The qualification is suitable for:

• Health and safety professionals developing AI-related risk-management capability.

• QHSE officers and workplace safety coordinators.

• Managers responsible for introducing or supervising generative AI tools.

• Risk assessors and compliance personnel addressing emerging technology risks.

• HR, operations and learning professionals involved in workplace AI adoption.

• Technology and digital-transformation personnel working with health and safety teams.

• Professionals seeking a specialist foundation in AI-enabled workplace health and safety.

Assessment Format: Written examination, AI health-and-safety case studies, risk-assessment exercises, responsible-AI scenarios, workplace implementation assignments and an applied Generative AI Health and Safety Management Project.

Total Questions: 40 questions, consisting of multiple-choice, short-answer and scenario-based questions, supported by practical assignments and project evidence.

Passing Score: Minimum 50% in the written examination and successful completion of all mandatory assessments and the applied project.

Duration: 90 minutes for the written examination, with additional assessment time allocated to risk assessments, case studies and project activities.

Certification: Certified Generative AI Health and Safety Professional

To deliver this Qualification, HiQual UK Approved ATPs must demonstrate the capability to deliver, assess, and internally quality assure qualifications in line with recognised regulatory principles and the expectations of the Regulated Qualifications Framework (RQF).

Approved centres must operate effective systems to ensure the validity, reliability, fairness, consistency, and security of assessment.

1. Centre Recognition and Legal Compliance

Centres must be formally recognised by HiQual UK prior to the delivery or assessment of any qualification. To maintain recognition, centres must: Be a legally constituted organisation operating in compliance with applicable legislation and regulatory requirements. Demonstrate effective governance, management oversight, and clear lines of accountability. Comply with all HiQual UK policies, procedures, and conditions of centre recognition. Notify HiQual UK promptly of any material changes that may affect delivery, assessment, or internal quality assurance arrangements.

2. Resources, Facilities, and Learning Environment

Centres must ensure that sufficient and appropriate resources are in place to support learning and assessment. This includes: Learning environments appropriate to the mode of delivery, including classrooms and, where applicable, specialist or practical facilities. Access to learning and assessment resources that enable learners to meet qualification outcomes. Secure systems for managing learner data, assessment records, and certification claims. Arrangements that support equality of access and reasonable adjustments for learners where required.

3. Staff Competence and Occupational Expertise

Centres must ensure that all staff involved in delivery, assessment, and internal quality assurance are competent and suitably qualified. Centres must: Appoint tutors with appropriate subject knowledge, teaching competence, and relevant occupational or professional experience. Ensure assessors are trained and competent in applying HiQual UK assessment requirements and standards. Appoint a qualified Internal Quality Assurer (IQA) responsible for monitoring assessment practice and decisions. Maintain records of staff qualifications, experience, training, and continuing professional development (CPD).

4. Assessment Practice and Internal Quality Assurance (IQA)

Centres must operate robust internal quality assurance systems to ensure assessment integrity. Centres must: Ensure assessment is valid, fit for purpose, and conducted in line with HiQual UK requirements. Implement effective IQA procedures to monitor assessor performance and confirm the consistency of assessment decisions. Maintain accurate, complete, and auditable records of learner registration, assessment evidence, and outcomes. Carry out regular internal reviews and standardisation activities to support continuous improvement.

5. Integrity, Risk Management, and Malpractice

Centres must take appropriate measures to protect the integrity of assessment. Centres must: Maintain policies and procedures for the prevention, identification, and management of malpractice and maladministration. Ensure secure handling, storage, and retention of assessment materials and learner evidence. Report any suspected or confirmed malpractice to HiQual UK in accordance with published procedures.

6. Health, Safety, Safeguarding, and Learner Protection

Centres must provide a safe, inclusive, and supportive learning environment. Centres must: Comply with applicable health and safety and safeguarding legislation. Conduct risk assessments for learning activities, particularly where practical or technical work is involved. Maintain procedures to safeguard learner welfare and wellbeing.

7. Learner Information, Support, and Fair Treatment

Centres must ensure learners are informed, supported, and treated fairly. Centres must: Provide clear and accurate information on programme requirements, assessment methods, and certification. Ensure learners receive timely and constructive feedback on assessment outcomes. Operate transparent complaints and appeals procedures aligned with HiQual UK requirements. Manage learner information securely in compliance with data protection legislation.

Successful learners who achieve the Certified Generative AI Health and Safety Professional qualification may progress to:

• HiQual UK Level 4 qualifications in Occupational Health and Safety, QHSE, Risk Management, AI Governance or related disciplines.

• Specialist professional training in AI risk management, responsible AI, AI governance, workplace technology safety, digital transformation and occupational risk management.

• Further development aligned with frameworks such as ISO/IEC 42001, NIST AI RMF and occupational health and safety management systems.

• Employment or career advancement in roles including AI Safety Coordinator, QHSE Officer, Technology Risk Assistant, AI Governance Support Officer, Digital Safety Coordinator and Health & Safety Professional with AI responsibilities.

• Continuing professional development toward AI Risk Manager, Responsible AI Specialist, Technology Safety Manager, AI Governance Professional and senior QHSE or risk-management roles.

Progression and employment claims should be accurately supported within the approved qualification specification. HiQual UK's policy requires such claims to be evidence-based and appropriately described.