Use this quick start guide to collect all the information about EXIN AICP Certification exam. This study guide provides a list of objectives and resources that will help you prepare for items on the EXIN Artificial Intelligence Compliance Professional (AICP) exam. The Sample Questions will help you identify the type and difficulty level of the questions and the Practice Exams will make you familiar with the format and environment of an exam. You should refer this guide carefully before attempting your actual EXIN Artificial Intelligence Compliance Professional certification exam.
The EXIN AICP certification is mainly targeted to those candidates who want to build their career in Technologies and Software domain. The EXIN Artificial Intelligence Compliance Professional exam verifies that the candidate possesses the fundamental knowledge and proven skills in the area of EXIN Artificial Intelligence Compliance Professional.
EXIN AICP Exam Summary:
| Exam Name | EXIN Artificial Intelligence Compliance Professional |
| Exam Code | AICP |
| Exam Price | $311 (USD) |
| Duration | 90 mins |
| Number of Questions | 40 |
| Passing Score | 65% |
| Schedule Exam | EXIN |
| Sample Questions | EXIN AICP Sample Questions |
| Practice Exam | EXIN AICP Certification Practice Exam |
EXIN Artificial Intelligence Compliance Professional Exam Syllabus Topics:
| Topic | Details | Weights |
|---|---|---|
| Context of the AI Act | 5% | |
| Purpose and scope |
The candidate can… - explain the primary objectives of the AI Act. - understand the scope of the AI Act. - explain the different roles defined in the AI Act. |
5% |
| AI Act in depth | 37.5% | |
| Key provisions |
The candidate can… - classify an AI system into one of the categories: unacceptable risk, high risk, limited risk, minimal or no risk. - identify the requirements for high-risk AI systems. - identify the relevant governance and oversight for AI systems. |
15% |
| Risks and regulations |
The candidate can… - analyze the balance between innovation and regulation in the AI Act. - explain general purpose AI, systemic risks, and code of practices. - identify the implications of the AI Act on intellectual property (IP) rights. - explain the benefits and drawbacks of using open-source models versus closed-source models under the AI Act. - understand AI-provider obligations: conducting conformity assessments, maintaining documentation, notifying regulators. |
10% |
| Compliance and enforcement |
The candidate can… - explain the implications of accountability and compliance. - describe the process of incident reporting and response. - describe the importance of whistleblowers for AI systems. - identify the correct penalties for the different types of non-compliance: noncompliance with bans, violating high-risk requirements, lesser breaches. - understand AI-user obligations: using the AI systems as intended, monitoring system performance, and reporting issues. |
12.5% |
| Trustworthy AI | 12.5% | |
| Privacy and data protection |
The candidate can… - understand why data management and privacy are important. - apply GDPR principles to a given data protection scenario. - analyze the implications of data minimization in AI systems. |
7.5% |
| Transparency and traceability |
The candidate can… - understand the importance of transparency in AI systems. - understand the role of transparency in fostering public trust in AI systems. - explain the importance of traceability in AI systems. |
5% |
| Ethical AI | 10% | |
| Principles and guidelines |
The candidate can… - identify key ethical principles in AI development. - interpret the AI Act's guidelines on ethical AI deployment in a scenario. |
5% |
| Human rights |
The candidate can… - understand the importance of human oversight in AI systems as mandated by the AI Act. - identify the rights of individuals affected by AI systems under the AI Act by doing a fundamental rights impact assessment. |
5% |
| AI Act in practice | 15% | |
| AI in the public sector |
The candidate can… - understand the risks of introducing AI systems in public domains: public decision making, crime prosecution, elections. |
2.5% |
| AI in the private sector |
The candidate can… - analyze the impact of the AI Act on different stakeholders: finance and insurance. - analyze the impact of the AI Act on different stakeholders: healthcare. - analyze the impact of the AI Act on different stakeholders: employment and education. - analyze the impact of the AI Act on different stakeholders: autonomous driving. - analyze the impact of the AI Act on different stakeholders: advertising and tourism. |
12.5% |
| Frameworks to support compliance | 20% | |
| European standards |
The candidate can… - understand how the CEN/CLC/TR 18115 will help a business implement data governance practices that comply with Article 10 of the AI Act. |
5% |
| International standards |
The candidate can… - understand how the ISO/IEC 42001 standard and the NIST framework will help a business ensure the responsible development and use of AI. - understand how the ISO/IEC 23894 standard will help a business to integrate risk management practices specifically related to AI in their AI-related activities. - understand ethical issues surrounding AI development and usage from the ISO/IEC TR 24368 standard. |
15% |
To ensure success in EXIN Artificial Intelligence Compliance Professional certification exam, we recommend authorized training course, practice test and hands-on experience to prepare for EXIN Artificial Intelligence Compliance Professional (AICP) exam.