[Oct-2022] AIF Dumps are Available for Instant Access from TopExamCollection [Q18-Q37]

October 19, 2022 0 Comments

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[Oct-2022] AIF Dumps are Available for Instant Access from TopExamCollection

Study resources for the Valid AIF Braindumps!

BCS AIF Exam Syllabus Topics:

Topic Details
Topic 1
  • Applying the benefits of AI – challenges and risks
  • Describe the challenges of Artificial Intelligence
Topic 2
  • Describe a ‘learning from experience’ Agile approach to projects
  • Describe the type of team members needed for an Agile project
Topic 3
  • 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 4
  • Recall which typical, narrow AI capability is useful in ML and AI agents’ functionality
  • The Management, Roles and Responsibilities of humans and machines
Topic 5
  • 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 6
  • Demonstrate understanding of the risks of AI project
  • Ethical and Sustainable Human and Artificial Intelligence
Topic 7
  • Recall that the Human Centric Ethical Purpose Trustworthy AI is continually assessed and monitored
  • Describe the difference between waterfall and agile projects
Topic 8
  • Describe agents in terms of performance measure, environment, actuators and sensors
  • Recall the general definition of Human and Artificial Intelligence (AI)
Topic 9
  • List common open source machine learning functionality, software and hardware
  • Relate intelligent robotics to intelligent agents
Topic 10
  • Describe four types of agent: reflex, model-based reflex, goal-based and utility-based
  • Explain the benefits of Artificial Intelligence
Topic 11
  • Recall that Ethical Purpose AI is delivered using Trustworthy AI that is technically robust
  • Recall the general definition of Ethics
Topic 12
  • List future directions of humans and machines working together
  • Describe what are Ethics and Trustworthy AI, in particular

 

QUESTION 18
The EU and United Nations have made designing for all individuals a core principle. What is this type of
design called?

 
 
 
 

QUESTION 19
The EU’s Ethical Guidelines use what to demonstrate trustworthy Al?

 
 
 
 

QUESTION 20
How could machine learning make a robot autonomous?

 
 
 
 

QUESTION 21
Who was the pioneer of computer programming?

 
 
 
 

QUESTION 22
What is one of the MAIN contributions of Al to the rapid development of The Fourth Industrial Revolution?

 
 
 
 

QUESTION 23
In an Al project the domain expert is the person…

 
 
 
 

QUESTION 24
What is defined as a philosophy, or set of assumptions and/or techniques, which characterise an approach to a class of problems?

 
 
 
 

QUESTION 25
In an Al project the domain expert is the person…

 
 
 
 

QUESTION 26
Human-centric trustworthy Al must be…

 
 
 
 

QUESTION 27
Narrow or weak Al can be useful to robots.
Which of the following is an example of narrow Al?

 
 
 
 

QUESTION 28
With a large dataset, limited computational resources or frequent new data to learn from, we can adopt what
type of machine learning?

 
 
 
 

QUESTION 29
What does Prof David Chalmers describe the hard consciousness problem to be as comples as?

 
 
 
 

QUESTION 30
Para View allows large data sets to be visualised on a parallel computer.
Which of the following is one of the techniques used?

 
 
 
 

QUESTION 31
What technique can be adopted when a weak learners hypothesis accuracy is only slightly better than 50%?

 
 
 
 

QUESTION 32
Ensemble learning methods do what with the hypothesis space?

 
 
 
 

QUESTION 33
Tensor flow is a typical open source what?

 
 
 
 

QUESTION 34
What function is used in a Neural Network?

 
 
 
 

QUESTION 35
Professor David Chalmers described consciousness as having two questions. What were these?

 
 
 
 

QUESTION 36
Which of the following is an advantage of a machine based system?

 
 
 
 

QUESTION 37
What is defined as a philosophy, or set of assumptions and/or techniques, which characterise an approach to a
class of problems?

 
 
 
 

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