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BCS Foundation Certificate In Artificial Intelligence Sample Questions (Q25-Q30):

NEW QUESTION # 25
The EU's Ethical Guidelines use what to demonstrate trustworthy Al?

• A. UN's sustainability goals.
• B. A quality assurance plan.
• C. A human-centric value system.
• D. Customer feedback.

Answer: C Explanation:
Explanation
The European Union's Ethical Guidelines for Trustworthy AI use a human-centric value system to demonstrate that Artificial Intelligence (AI) is trustworthy. This value system is based on human rights, autonomy, safety, privacy, transparency, accountability and fairness. The guidelines also state that AI should be designed, developed and used in a manner that respects these values. References:
* https://ec.europa.eu/digital-single-market/en/news/ethical-guidelines-trustworthy-ai
* BCS Foundation Certificate In Artificial Intelligence Study Guide (2019), A.I & Ethics, Chapter 5.
NEW QUESTION # 26
An Al agent relies on its perceptual input. This is called the agent's what?

• A. World
• B. Environment
• C. Percept
• D. Position

Answer: C Explanation:
Agent Terminology
Performance Measure of Agent − It is the criteria, which determines how successful an agent is.
Behavior of Agent − It is the action that agent performs after any given sequence of percepts.
Percept − It is agent's perceptual inputs at a given instance.
Percept Sequence − It is the history of all that an agent has perceived till date.
Agent Function − It is a map from the precept sequence to an action.
https://www.tutorialspoint.com/artificialintelligence/artificialintelligenceagentsand_environments.htm
NEW QUESTION # 27
Ensemble learning methods do what with the hypothesis space?

• A. Select a combination of hypothesis to combine theirpredictions
• B. Use stochastic gradient descent to optimise a network.
• C. Test multiple hypotheses simultaneously.
• D. Extract ergodic solutions.

Answer: A Explanation:
Explanation
https://link.springer.com/referenceworkentry/10.1007/978-0-387-73003-5_293#:~:text=Definition,and%20comb It works by selecting different subsets of the data, or different combinations of the hypothesis, and combining the results of each prediction in order to create a single, more accurate result. This is useful in situations where different hypothesis may be accurate in different parts of the data, or where a single hypothesis may not be accurate in all cases. Ensemble learning is used in a variety of applications, from computer vision to natural language processing.
References: [1] BCS Foundation Certificate In Artificial Intelligence Study Guide, BCS [2] Apmg-international.com, "What is Ensemble Learning?", APMG International, https://apmg-international.com/en/about-apmg/blog/what-is-ensemble-learning/ [3] Exin.com,
"Ensemble Learning", EXIN, https://www.exin.com/en-us/learn/ensemble-learning
NEW QUESTION # 28
Which of the following is an example of fitting a curve to a set of data?

• A. Python.
• B. Backward propagation.
• C. Bayesian network.
• D. Least squares regression.

Answer: D
NEW QUESTION # 29
A human manipulates what using their intelligence?

• A. Mission
• B. Environment
• C. Space
• D. Objective

Answer: B Explanation:
Explanation
Humans use their intelligence to manipulate their environment in order to achieve their objectives and complete their mission. This can involve a wide range of activities, such as building tools, constructing shelters, and creating strategies to solve problems. References: BCS Foundation Certificate In Artificial Intelligence Study Guide, https://bcs.org/ai/certificate/ and APMG International, https://www.apmg-international.com/qualifications/artificial-intelligence-foundation-certificate.
NEW QUESTION # 30
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