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BCS AIF Exam Syllabus Topics:

TopicDetails
Topic 1
  • Demonstrate understanding of the risks of AI project
  • Ethical and Sustainable Human and Artificial Intelligence
Topic 2
  • List common open source machine learning functionality, software and hardware
  • Relate intelligent robotics to intelligent agents
Topic 3
  • Recall that Ethical Purpose AI is delivered using Trustworthy AI that is technically robust
  • Recall the general definition of Ethics
Topic 4
  • Understand that ML is a significant contribution to the growth of Artificial Intelligence
  • Describe how AI is part of ‘Universal Design,’ and ‘The Fourth Industrial Revolution
Topic 5
  • Recall which typical, narrow AI capability is useful in ML and AI agents’ functionality
  • The Management, Roles and Responsibilities of humans and machines
Topic 6
  • Describe the three fundamental areas of sustainability and the United Nation’s seventeen sustainability goals
  • General examples of the limitations of AI systems compared to human systems
Topic 7
  • List future directions of humans and machines working together
  • Describe what are Ethics and Trustworthy AI, in particular

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BCS Foundation Certificate In Artificial Intelligence Sample Questions (Q36-Q41):

NEW QUESTION # 36
Ensemble learning methods do what with the hypothesis space?

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

Answer: A

Explanation:
Explanation
https://link.springer.com/referenceworkentry/10.1007/978-0-387-73003-5_293#:~:text=Definition,and%20comb


NEW QUESTION # 37
What function is used in a Neural Network?

  • A. Statistical.
  • B. Linear.
  • C. Trigonometric.
  • D. Activation.

Answer: D

Explanation:
Explanation
Activation Functions
An activation function in a neural network defines how the weighted sum of the input is transformed into an
output from a node or nodes in a layer of the network.
https://machinelearningmastery.com/choose-an-activation-function-for-deep-learning/#:~:text=An%20activation


NEW QUESTION # 38
What term do computer scientists and economists use to describe how happy an agent is?

  • A. Utility.
  • B. Warm.
  • C. Return
  • D. Index.

Answer: A

Explanation:
https://griffinshare.fontbonne.edu/cgi/viewcontent.cgi?article=1008&context=ijds


NEW QUESTION # 39
An agent based model is asimul-ationof autonomous agents (individual and collective). What can be used to
learn from the data generated by thesimul-ations?

  • A. Python.
  • B. Paraview.
  • C. A spreadsheet
  • D. Machine Learning.

Answer: C

Explanation:
Explanation
https://www.pnas.org/doi/10.1073/pnas.082080899


NEW QUESTION # 40
Ensemble learning methods do what with the hypothesis space?

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

Answer: A

Explanation:
https://link.springer.com/referenceworkentry/10.1007/978-0-387-73003-5_293#:~:text=Definition,and%20combine%20them%20to%20use.


NEW QUESTION # 41
......

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