The LICQual Level 1 Award in AI Risk Management and Incident Response is an essential qualification for individuals looking to gain a foundational understanding of managing risks and responding to incidents within the rapidly evolving field of Artificial Intelligence (AI). As AI technologies become more integrated into business operations, the need to understand how to identify, mitigate, and respond to AI-related risks is crucial.
This course will provide you with the core principles and practical skills necessary to address the challenges posed by AI risk management and incident response. Whether you’re new to AI or already involved in tech-related roles, this course is designed to set you up for success in managing AI-related risks effectively.
The LICQual Level 1 Award in AI Risk Management and Incident Response introduces you to the key concepts of AI risk management, focusing on how AI systems can impact businesses, individuals, and organizations. You will explore various types of risks associated with AI, such as data privacy issues, security vulnerabilities, and ethical concerns. This course also covers the fundamentals of creating an effective AI risk management strategy, along with the essential tools for incident detection, response, and recovery.
Throughout the course, you will learn how to identify AI-related risks, understand potential incident scenarios, and develop the skills needed to respond to incidents efficiently and effectively. This qualification provides the groundwork for professionals who wish to pursue further study or a career in AI risk management, cybersecurity, or related fields.
By the end of this award, you will be equipped with the knowledge and skills to manage AI risks, ensuring safe deployment and ethical use of AI technologies. This course is ideal for those looking to make an impact in the AI sector or enhance their risk management capabilities in technology-driven industries.
Course Overview
Qualification Title
LICQual Level 1 Award in AI Risk Management and Incident Response
Total Units
6
Total Credits
6
GLH
12
Qualification #
LICQ2200304
Qualification Specification
To enrol in the LICQual Level 1 Award in AI Risk Management and Incident Response, candidates must meet the following entry requirements:
- Educational Requirements: Applicants must have a minimum of a high school diploma or equivalent. While prior knowledge in AI or risk management is not mandatory for this entry-level course, a basic understanding of technology or related fields will be beneficial. This course is designed to introduce fundamental concepts and does not require advanced academic qualifications.
- Experience: No prior professional experience in AI, risk management, or incident response is required to enroll in this course. The LICQual Level 1 Award is specifically intended for individuals who are new to the field and looking to build foundational knowledge. However, experience in any tech-related or organizational role where understanding risks or managing incidents is part of the job may enhance learning but is not a prerequisite.
- English Language Proficiency: As the course is delivered in English, participants must have a basic proficiency in the English language to engage with course materials and participate in discussions. A general understanding of written and spoken English is sufficient, ensuring that learners can effectively comprehend instructional content and complete assessments.
- Age Requirement: Candidates must be at least 18 years of age at the time of enrolment.
|
Qualification# |
Unit Title |
Credits |
GLH |
|---|---|---|---|
|
LICQ2200304-1 |
Introduction to AI Risks |
1 |
2 |
|
LICQ2200304-2 |
Understanding Incident Response Framework |
1 |
2 |
|
LICQ2200304-3 |
Risk Identification in AI Systems |
1 |
2 |
|
LICQ2200304-4 |
AI Risk Assessment Methodologies |
1 |
2 |
|
LICQ2200304-5 |
AI Governance and Compliance |
1 |
2 |
|
LICQ2200304-6 |
Preparing an AI Risk Management Plan |
1 |
2 |
By the end of this course, learners will be able to:
Introduction to AI Risks:
- Demonstrate a foundational understanding of AI technologies and their potential risks.
- Identify common risks associated with AI systems and their impact on organizations.
- Recognize the importance of managing AI risks in the context of evolving technologies.
Understanding Incident Response Framework:
- Explain the core principles of incident response and its relevance to AI systems.
- Identify the stages of an incident response framework and how they apply to AI-related incidents.
- Describe the roles and responsibilities involved in managing AI-related incidents effectively.
Risk Identification in AI Systems:
- Apply methods to identify various risks present in AI systems, including technical, operational, and ethical risks.
- Assess the potential impact of identified risks on AI system performance and organizational operations.
- Demonstrate an understanding of the importance of early risk identification to mitigate potential harm.
AI Risk Assessment Methodologies:
- Explain the different risk assessment methodologies used for evaluating AI risks.
- Select appropriate risk assessment tools and techniques for specific AI applications.
- Conduct a basic risk assessment for AI systems, evaluating likelihood and impact of risks.
AI Governance and Compliance:
- Understand the role of governance and compliance frameworks in AI risk management.
- Identify relevant laws, regulations, and ethical guidelines that impact AI systems and their risk management.
- Demonstrate an awareness of how to align AI projects with industry standards and best practices in governance.
Preparing an AI Risk Management Plan:
- Develop a basic AI risk management plan that addresses the identified risks and outlines mitigation strategies.
- Integrate risk identification, assessment, and response strategies into a comprehensive management plan.
- Demonstrate the ability to communicate the risk management plan effectively to stakeholders within an organization.
This diploma is ideal for:
- Individuals looking to enter the field of AI risk management and incident response with no prior experience or knowledge in the subject.
- Professionals in technology, cybersecurity, and IT who want to expand their understanding of AI-specific risks and how to manage them effectively.
- Business leaders and managers overseeing AI projects who need foundational knowledge of AI risk management to make informed decisions.
- Entry-level employees in organizations that utilize AI technologies, such as healthcare, finance, or manufacturing, who want to learn how to identify and mitigate AI risks.
- Students or recent graduates with a background in technology or business who want to gain a recognized qualification in AI risk management and incident response.
- Anyone interested in building a career in AI governance, risk management, or incident response.
- Those seeking to understand AI compliance and regulatory frameworks to ensure that AI systems align with industry standards and best practices.
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.
