ISO-IEC-27001-LEAD-IMPLEMENTER practice question 13 of 35

Scenario 6: Skyver manufactures electronic products, such as gaming consoles, flat-screen TVs, computers, and printers. In order to ensure…

Full set: 290 questions

Domain Implementing an ISMS based on ISO/IEC 27001

Scenario 6: Skyver manufactures electronic products, such as gaming consoles, flat-screen TVs, computers, and printers. In order to ensure information security, the company has decided to implement an information security management system (ISMS) based on ISO/IEC 27001. Colin, the company's information security manager, decided to conduct a training and awareness session for the company's staff about the information security risks and the controls implemented to mitigate them. The session covered various topics, including Skyver's information security approaches, techniques for mitigating phishing and malware, and a dedicated segment on securing cloud infrastructure and services. This particular segment explored the shared responsibility model and concepts such as identity and access management in the cloud. Colin organized the training and awareness sessions through engaging presentations, interactive discussions, and practical demonstrations to ensure that the personnel were well-informed by security principles and practices. One of the participants in the session was Lisa, who works in the HR Department. Although Colin explained Skyver's information security policies and procedures in an honest and fair manner, she found some of the issues being discussed too technical and did not fully understand the session. Therefore, in many cases, she would request additional help from the trainer and her colleagues. In a supportive manner, Colin suggested Lisa consider attending the session again. Skyver has been exploring the implementation of AI solutions to help understand customer preferences and provide personalized recommendations for electronic products. The aim was to utilize AI technologies to enhance problem-solving capabilities and provide suggestions to customers. This strategic initiative aligned with Skyver’s commitment to improving the customer experience through data-driven insights. Additionally, Skyver looked for a flexible cloud infrastructure that allows the company to host certain services on internal and secure infrastructure and other services on external and scalable platforms that can be accessed from anywhere. This setup would enable various deployment options and enhance information security, crucial for Skyver's electronic product development. According to Skyver, implementing additional controls in the ISMS implementation plan has been successfully executed, and the company was ready to transition into operational mode. Skyver assigned Colin the responsibility of determining the materiality of this change within the company. Based on the scenario above, answer the following question: As part of its strategic initiative to improve customer experiences, Skyver is exploring the implementation of advanced AI solutions. Which type of AI is the company likely considering for this purpose?
Answer options
A: Weak AI
B: Machine learning Correct answer
C: Strong AI
Correct Answer:
B. Machine learning
Explanation

The scenario describes Skyver's goal to "understand customer preferences and provide personalized recommendations." This task involves analyzing large datasets of customer behavior to identify patterns and make predictions, which is the core function of machine learning (ML). ML is a subset of AI that enables systems to learn and improve from experience without being explicitly programmed. Recommendation engines are a classic application of machine learning techniques, making it the most specific and appropriate technology for Skyver's initiative.

Why Incorrect

A. Weak AI: While the resulting system is a form of Weak (or Narrow) AI, "Machine learning" is the more precise term for the specific technology and process being implemented to achieve this.
C. Strong AI: Strong AI, or Artificial General Intelligence (AGI), refers to a hypothetical machine with human-level consciousness and general problem-solving abilities, which is far beyond the scope of a product recommendation system.

References

1. Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15-25. The article categorizes AI and explains that systems performing specific cognitive tasks, such as providing recommendations based on past consumption, fall under analytical AI (Weak AI) and are typically powered by machine learning techniques. (See page 17, Table 1). DOI: https://doi.org/10.1016/j.bushor.2018.08.004

2. PECB. (2023). PECB Certified Artificial Intelligence Lead Manager - Training Course. PECB. The official course brochure lists "Domain 2: Machine learning concepts and methods" as a core component of its AI curriculum, establishing machine learning as a distinct and fundamental discipline within AI for practical applications like those described in the scenario. (Available on the official PECB website).

3. Stanford University. (2023). CS229: Machine Learning Course Syllabus. Stanford, CA: Stanford University. The course syllabus lists "Recommender systems" as a key application of machine learning, demonstrating the direct link between the technology (ML) and the business goal (personalized recommendations) described in the scenario. (See "Topics" section of the official CS229 course website).

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