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NEW QUESTION # 20
What is defined as a philosophy, or set of assumptions and/or techniques, which characterise an approach to a
class of problems?
- A. A set
- B. An algorithm.
- C. A paradigm.
- D. An approach.
Answer: C
NEW QUESTION # 21
Who was the pioneer of computer programming?
- A. Sophie Wilson
- B. Ada Lovelace.
- C. Dame Wendy Hall.
- D. Karen Spark Jones.
Answer: B
Explanation:
Explanation
https://www.techopedia.com/2/31564/watercooler/ada-lovelace-enchantress-of-numbers
Ada Lovelace was an English mathematician and writer who is widely credited as the pioneer of computer programming. In 1842, she wrote an article in which she outlined the fundamental principles of computing, making her the first person to recognize the potential of computers and to describe algorithms that could be used to program them. Her work laid the basis for modern computing and is recognized as one of the most significant contributions to the field of computing.
References: https://www.bcs.org/more/certifications/foundation-certificate-in-artificial-intelligence/
NEW QUESTION # 22
What does TRL stand for?
- A. Transport Ready Level.
- B. Transform Reinforced Learning
- C. Technology Readiness Level.
- D. Technical Robotic Level.
Answer: C
Explanation:
Explanation
Technology Readiness Level (TRL)Technology Readiness Levels (TRL) are a method of estimating the technology maturity of Critical Technology Elements (CTE) of a program during the acquisition process.
https://acqnotes.com/acqnote/tasks/technology-readiness-level#:~:text=Technology%20Development-,Technolog TRL stands for Technology Readiness Level and is a measure of how close a technology is to being ready for use in a real-world environment. TRL is used to assess the progress of research and development of a technology, ranging from basic research (TRL 1) to fully operational (TRL 9). TRL is used to help determine the level of completion of a technology and its potential success in a real-world environment.
References:
[1] https://www.bcs.org/upload/pdf/foundation-certificate-ai-syllabus-v1.pdf [2] https://www.apmg-international
NEW QUESTION # 23
If Al undertakes routine and monotonous tasks and takes these away from humans, what will humans do?
- A. Change jobs.
- B. Sabotage the Al.
- C. Higher value work.
- D. Leisure activities
Answer: A
NEW QUESTION # 24
Who was the pioneer of computer programming?
- A. Sophie Wilson
- B. Ada Lovelace.
- C. Dame Wendy Hall.
- D. Karen Spark Jones.
Answer: B
Explanation:
https://www.techopedia.com/2/31564/watercooler/ada-lovelace-enchantress-of-numbers
NEW QUESTION # 25
If Al undertakes routine and monotonous tasks and takes these away fromhumans, what will humans do?
- A. Change jobs.
- B. Sabotage the Al.
- C. Higher value work.
- D. Leisure activities
Answer: C
Explanation:
Explanation
Al is designed to take on routine and monotonous tasks, freeing up humans to take on more complex, higher value work. This can include tasks such as research, problem-solving, and decision-making. This shift in work roles is expected to increase productivity and efficiency, allowing humans to focus on more creative and innovative tasks. For example, robots can be used to automate mundane manufacturing processes, freeing up human workers to take on jobs that require more creative thinking and problem-solving.
References:
[1] https://www.bcs.org/upload/pdf/foundation-certificate-ai-syllabus-v1.pdf [2] https://www.apmg-international
NEW QUESTION # 26
Healthcare can benefit from Al, and in particular Machine Learning, an example of which is?
- A. Automated blood sampling.
- B. Autonomous wheelchairs.
- C. Autonomous vehicles.
- D. Diagnostic image analysis
Answer: D
NEW QUESTION # 27
Which of the following is an advantage of a machine based system?
- A. Undertakes monotonous tasks reliably and accurately.
- B. Capable of sympathising with humans.
- C. Able to judge ambiguous and unknown situations.
- D. Can explain the output of an Al system
Answer: A
NEW QUESTION # 28
The EU's Ethical Guidelines use what to demonstrate trustworthy Al?
- A. A quality assurance plan.
- B. Customer feedback.
- C. A human-centric value system.
- D. UN's sustainability goals.
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 # 29
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 # 30
In the 1800's the development of statistics led to___________theorem and is used in probabilistic inference. (Select the missing word.)
- A. The central limit
- B. Bayes'
- C. Kolmogorov's
- D. Boltzmann's
Answer: C
NEW QUESTION # 31
Tensor flow is a typical open source what?
- A. Machine learning library.
- B. Cloud based AI application.
- C. Intelligent robot paradigm.
- D. Agent based modelling application
Answer: A
Explanation:
TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.
https://www.tensorflow.org/#:~:text=TensorFlow%20is%20an%20end%2Dto,and%20deploy%20ML%20powered%20applications.
NEW QUESTION # 32
How could machine learningmake a robot autonomous?
- A. Use NLP (Natural Language Processing) to listen
- B. Learn from sensor data and plan to carry out a task.
- C. Use OCR, optical character recognition, to read documents
- D. Use actuators to modify its environment
Answer: B
Explanation:
Explanation
Machine learning can be used to make robots autonomous by allowing them to learn from sensor data and plan how to carry out a task. This involves using algorithms to analyze data from sensors and use this data to make decisions and take actions. By using machine learning, robots can learn from their environment and become more autonomous. References:
[1] BCS Foundation Certificate In Artificial Intelligence Study Guide, "Robotics", p.98. [2] APMG-International.com, "Foundations of Artificial Intelligence" [3] EXIN.com, "Foundations of Artificial Intelligence"
NEW QUESTION # 33
How could machine learning make a robot autonomous?
- A. Use NLP (Natural Language Processing) to listen
- B. Use OCR, optical character recognition, to read documents
- C. Use actuators to modify its environment
- D. Learn from sensor data and plan to carry out a task.
Answer: A
Explanation:
https://arxiv.org/pdf/1803.10813
NEW QUESTION # 34
What does Prof David Chalmers describe the hard consciousness problem to be as comples as?
- A. Psychology.
- B. The universe.
- C. Quantum mechanics.
- D. Turbulence.
Answer: B
Explanation:
Explanation
Prof David Chalmers describes the hard consciousness problem to be as complex as the universe. He argues that understanding consciousness is as hard as understanding the universe itself, due to the number of variables and dimensions involved. He has compared the complexity of the problem to that of turbulence, quantum mechanics, and psychology, but believes that the problem of consciousness is even more complex than all of these.
References:
[1] https://www.bcs.org/upload/pdf/foundation-certificate-ai-syllabus-v1.pdf
[2] https://www.apmg-international
David J. Chalmers, "The Hard Problem of Consciousness", in J. Shear (ed.), Explaining Consciousness:
The "Hard Problem", MIT Press, 1997.
NEW QUESTION # 35
How could machine learning make a robot autonomous?
- A. Use NLP (Natural Language Processing) to listen
- B. Use OCR, optical character recognition, to read documents
- C. Use actuators to modify its environment
- D. Learn from sensor data and plan to carry out a task.
Answer: A
Explanation:
Explanation
https://arxiv.org/pdf/1803.10813
NEW QUESTION # 36
Which of the following is an advantage of a machine based system?
- A. Undertakes monotonous tasks reliably and accurately.
- B. Capable of sympathising with humans.
- C. Able to judge ambiguous and unknown situations.
- D. Can explain the output of an Al system
Answer: A
Explanation:
Explanation
One of the main advantages of a machine-based system is its ability to reliably and accurately undertake monotonous and repetitive tasks. This is especially useful for tasks that require a high level of accuracy and precision, such as data entry or analysis. Machine-based systems are also able to process large amounts of data quickly, meaning that they are able to complete tasks more quickly and efficiently than humans. Additionally, machine-based systems can be programmed to take certain decisions and actions based on the input data, allowing them to automate certain processes without the need for human intervention. References:
* BCS Foundation Certificate In Artificial Intelligence Study Guide (2019), AI Systems, Chapter 8.
* https://www.apmg-international.com/en/al-adoption/advantages-of-al/
NEW QUESTION # 37
Narrow or weak Al can be useful to robots.
Which of the following is an example of narrow Al?
- A. NLP - Natural Language Processing.
- B. Conscious integration.
- C. Artificial General Al.
- D. Conscioussimul-ation.
Answer: A
NEW QUESTION # 38
Collaboration, learning and iterative are terms used to describe what?
- A. Rapid software development.
- B. Agile projects
- C. Waterfall projects.
- D. Trustworthy Al.
Answer: B
Explanation:
Explanation
Collaboration, learning, and iterative are terms used to describe agile projects. Agile projects are designed to be adaptive and flexible, allowing teams to incorporate feedback and learn from their mistakes. This process encourages collaboration between team members, and emphasizes the importance of iterative development and continual improvement. Agile projects focus on delivering value quickly and efficiently, allowing teams to make changes and adapt to changing customer needs.
References:
[1] https://www.bcs.org/upload/pdf/foundation-certificate-ai-syllabus-v1.pdf [2] https://www.apmg-international
NEW QUESTION # 39
An intelligent robot uses Al to do what?
- A. Sense, plan and move.
- B. Sense, plan and act
- C. Plan, act and speak.
- D. Perceive, plan and act.
Answer: D
Explanation:
Explanation
An intelligent robot uses Artificial Intelligence (AI) to perceive its environment, plan its actions and then act on them. This is sometimes referred to as the "sense, plan, act" cycle, and is at the heart of what makes a robot intelligent. By using AI, robots can sense their environment, plan their actions accordingly and then act on them in order to complete their tasks.
For more information, please refer to the BCS Foundation Certificate in Artificial Intelligence Study Guide: https://www.bcs.org/category/18076/bcs-foundation-certificate-in-artificial-intelligence-study-guide.
NEW QUESTION # 40
In an Al project the domain expert is the person...
- A. who measures the trustworthiness of the Al system
- B. with technical and managerial oversight of the business plan
- C. with special knowledge or skills in the area of endeavour and defines what is fit for purpose'
- D. who manages the agile projectand writes the technical terms of reference
Answer: C
Explanation:
Explanation
In an AI project, a domain expert is a person with special knowledge or skills in that particular area of endeavour, and they are responsible for defining what is "fit for purpose" for the project. The domain expert provides insights into the problem and suggests ways to address it. They also provide guidance on evaluating and validating the AI system and its outputs. The domain expert is also responsible for communicating with stakeholders and providing feedback on the progress of the project. References:
* BCS Foundation Certificate In Artificial Intelligence Study Guide (2019), AI & People, Chapter 12.
* https://www.apmg-international.com/en/al-adoption/domain-expert/
NEW QUESTION # 41
From the Ell's ethics guidelines for Al, what does 'The Principle of Autonomy,' mean?
- A. Al systems will preserve human agency.
- B. Al agents will behave as humans.
- C. Al systems will be human-centric
- D. Robots will have freewill.
Answer: C
NEW QUESTION # 42
If Al undertakes routine and monotonous tasks and takes these away from humans, what will humans do?
- A. Change jobs.
- B. Sabotage the Al.
- C. Higher value work.
- D. Leisure activities
Answer: C
NEW QUESTION # 43
What is defined as a machine that can carry out a complex series of tasks automatically?
- A. An autonomous vehicle.
- B. A computer.
- C. A production line.
- D. A robot
Answer: D
Explanation:
https://en.wikipedia.org/wiki/Robot#:~:text=A%20robot%20is%20a%20machine,control%20may%20be%20embedded%20within.
NEW QUESTION # 44
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BCS AIF exam covers a range of topics, including the history of AI, the different types of AI, machine learning algorithms, natural language processing, and ethical considerations related to AI. AIF exam is designed to test a candidate's knowledge of these topics and their ability to apply this knowledge to real-world scenarios.
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