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BCS AIF Exam Syllabus Topics:

Topic 1
  • List future directions of humans and machines working together
  • Describe what are Ethics and Trustworthy AI, in particular
Topic 2
  • Demonstrate understanding of the risks of AI project
  • Ethical and Sustainable Human and Artificial Intelligence
Topic 3
  • List common open source machine learning functionality, software and hardware
  • Relate intelligent robotics to intelligent agents
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
  • Identify a typical funding source for AI projects and relate to the NASA Technology Readiness Levels (TRLs)
  • Describe a modern approach to Human logical levels of thinking using Robert Dilt’s Model
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
  • Applying the benefits of AI - challenges and risks
  • Describe the challenges of Artificial Intelligence
Topic 8
  • Describe a ‘learning from experience’ Agile approach to projects
  • Describe the type of team members needed for an Agile project
Topic 9
  • Recall that Ethical Purpose AI is delivered using Trustworthy AI that is technically robust
  • Recall the general definition of Ethics
Topic 10
  • Demonstrate understanding of the AI intelligent agent description
  • Starting AI how to build a Machine Learning Toolbox - Theory and Practice
Topic 11
  • Describe how we learn from data – functionality, software and hardware
  • Identify the relationship of AI agents with Machine Learning (ML)
Topic 12
  • Describe agents in terms of performance measure, environment, actuators and sensors
  • Recall the general definition of Human and Artificial Intelligence (AI)
Topic 13
  • Recall that the Human Centric Ethical Purpose Trustworthy AI is continually assessed and monitored
  • Describe the difference between waterfall and agile projects
Topic 14
  • Describe four types of agent: reflex, model-based reflex, goal-based and utility-based
  • Explain the benefits of Artificial Intelligence

BCS Foundation Certificate In Artificial Intelligence Sample Questions (Q35-Q40):

What is defined as a philosophy, or set of assumptions and/or techniques, which characterise an approach to a
class of problems?

  • A. An algorithm.
  • B. A set
  • C. An approach.
  • D. A paradigm.

Answer: D

What are monotonous and repetitive tasks, that require accuracy BEST suited to?

  • A. Human plus machine.
  • B. Human.
  • C. Artificial General Intelligence.
  • D. Machine.

Answer: D

An intelligent robot uses Al to do what?

  • A. Sense, plan and move.
  • B. Perceive, plan and act.
  • C. Sense, plan and act
  • D. Plan, act and speak.

Answer: C

What does Prof David Chalmers describe the hard consciousness problem to be as comples as?

  • A. Quantum mechanics.
  • B. Turbulence.
  • C. The universe.
  • D. Psychology.

Answer: D

If Al undertakes routine and monotonous tasks and takes these away from humans, what will humans do?

  • A. Change jobs.
  • B. Leisure activities
  • C. Sabotage the Al.
  • D. Higher value work.

Answer: A


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