The LICQual Level 3 Award in AI Risk Management and Incident Response is designed for professionals looking to master the complexities of managing AI-related risks and responding to AI incidents at a strategic level. With the rapid growth of artificial intelligence, organizations are facing increasingly sophisticated challenges in securing their AI systems and mitigating potential risks.
This advanced qualification provides in-depth knowledge and practical skills to help you navigate the ever-evolving landscape of AI risk management. Whether you’re already working in AI, cybersecurity, or risk management, this course will equip you with the expertise to safeguard AI technologies and respond effectively when incidents occur.
The LICQual Level 3 Award in AI Risk Management and Incident Response takes a comprehensive approach to understanding the full spectrum of risks associated with AI systems. You will learn advanced strategies for identifying, assessing, and mitigating risks inherent in AI technologies, including data privacy concerns, security vulnerabilities, and ethical implications. The course also focuses on building and implementing effective AI risk management frameworks to ensure that AI systems are secure, compliant, and aligned with best practices.
In addition, this qualification provides you with the skills needed to develop a robust incident response strategy tailored specifically for AI-related incidents. You will gain insights into handling critical AI failures, cyber-attacks, and other high-risk scenarios, ensuring rapid recovery and minimal disruption to business operations.
By the end of this course, you will be able to manage AI risks confidently, lead AI risk management initiatives, and implement effective incident response procedures. This award is ideal for professionals seeking to advance their careers in AI risk management, cybersecurity, or any field where AI technologies play a central role in operations.
Course Overview
Qualification Title
LICQual Level 3 Award in AI Risk Management and Incident Response
Total Units
6
Total Credits
6
GLH
18
Qualification #
LICQ2200306
Qualification Specification
To enrol in the LICQual Level 3 Award in AI Risk Management and Incident Response, candidates must meet the following entry requirements:
- Educational Requirements: A minimum of a high school diploma or equivalent is required. A foundational understanding of AI concepts or risk management is recommended. Prior academic qualifications in IT or related fields are beneficial but not mandatory.
- Experience: Some experience in technology-related roles such as AI development, cybersecurity, or IT management is recommended. Exposure to AI systems or risk management frameworks is helpful. Prior knowledge of AI risks will enhance course comprehension.
- English Language Proficiency: Participants must have a sufficient level of English to understand course materials, engage in discussions, and complete assessments. Basic reading, writing, and communication skills in English are required.
- Age Requirement: Candidates must be at least 18 years of age at the time of enrolment.
|
Qualification# |
Unit Title |
Credits |
GLH |
|---|---|---|---|
|
LICQ2200306-1 |
AI Risk Management Strategies |
1 |
3 |
|
LICQ2200306-2 |
Risk Assessment Frameworks for AI |
1 |
3 |
|
LICQ2200306-3 |
Incident Response Management in AI Systems |
1 |
3 |
|
LICQ2200306-4 |
Developing a Risk Management Culture for AI |
1 |
3 |
|
LICQ2200306-5 |
International Standards in AI Risk Management |
1 |
3 |
|
LICQ2200306-6 |
Monitoring and Reporting AI Risk Management Efforts |
1 |
3 |
By the end of this course, learners will be able to:
AI Risk Management Strategies:
- Develop advanced strategies for identifying, managing, and mitigating risks in AI systems.
- Evaluate the effectiveness of different AI risk management strategies in various organizational contexts.
- Integrate risk management approaches into the lifecycle of AI projects to minimize potential threats.
Risk Assessment Frameworks for AI:
- Apply comprehensive risk assessment frameworks to identify and evaluate risks in AI systems.
- Tailor risk assessment tools and methodologies to specific AI applications and organizational needs.
- Analyze the impact of identified risks and prioritize them based on severity and likelihood.
Incident Response Management in AI Systems:
- Design and implement robust incident response plans for AI-related incidents.
- Develop incident detection, containment, and recovery strategies for AI systems under threat.
- Assess the effectiveness of incident response protocols and refine them to ensure efficient management of AI incidents.
Developing a Risk Management Culture for AI:
- Foster a proactive risk management culture within organizations involved with AI technologies.
- Implement organizational practices and training that emphasize the importance of AI risk management.
- Promote cross-departmental collaboration to ensure AI risks are effectively managed at all levels.
International Standards in AI Risk Management:
- Understand and apply international standards and best practices in AI risk management.
- Evaluate global regulatory frameworks and compliance requirements related to AI risk management.
- Align AI risk management strategies with recognized industry standards to ensure regulatory compliance and best practices.
Monitoring and Reporting AI Risk Management Efforts:
- Develop systems for monitoring AI risks and tracking the effectiveness of mitigation efforts.
- Design clear reporting mechanisms to communicate AI risk management progress to stakeholders.
- Analyze risk management performance and make data-driven decisions to improve ongoing AI risk management efforts.
This diploma is ideal for:
- Professionals in cybersecurity, risk management, or IT seeking to specialize in AI-related risks and incident response.
- AI developers, engineers, and data scientists who want to enhance their understanding of risk management in AI systems.
- Managers, business leaders, and decision-makers overseeing AI projects who need to ensure effective risk management practices in their organizations.
- Compliance officers and legal professionals involved in AI governance, data protection, and regulatory compliance.
- Professionals responsible for creating or maintaining incident response plans in AI-driven environments.
- Risk analysts, consultants, or advisors aiming to expand their expertise in advanced AI risk management strategies.
- Individuals with prior knowledge of AI or risk management looking to gain advanced skills and qualifications in managing AI-specific risks.
- Those working in industries like finance, healthcare, manufacturing, or tech that are increasingly implementing AI technologies and require specialized risk management knowledge.
Assessment and Verification
All units within this qualification are subject to internal assessment by the approved centre and external verification by LICQual. The qualification follows a criterion-referenced assessment approach, ensuring that learners meet all specified learning outcomes.
To achieve a ‘Pass’ in any unit, learners must provide valid, sufficient, and authentic evidence demonstrating their attainment of all learning outcomes and compliance with the prescribed assessment criteria. The Assessor is responsible for evaluating the evidence and determining whether the learner has successfully met the required standards.
Assessors must maintain a clear and comprehensive audit trail, documenting the basis for their assessment decisions to ensure transparency, consistency, and compliance with quality assurance requirements.
