Test Your Knowledge of AI Software Development Techniques and the European Propo...
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Questions and Answers

Which technique is NOT listed as one of the approaches for developing AI software in the European Proposal for an AI Act?

  • Inductive (logic) programming
  • Supervised learning
  • Reinforcement learning
  • Evolutionary algorithms (correct)
  • What are some of the outputs that AI software can generate according to the European Proposal for an AI Act?

  • Content, predictions, decisions, and environments
  • Predictions, recommendations, decisions, and environments
  • Content, predictions, and recommendations (correct)
  • Content, recommendations, decisions, and environments
  • Which type of learning is NOT mentioned as part of machine learning in the European Proposal for an AI Act?

  • Reinforcement learning
  • Semi-supervised learning (correct)
  • Supervised learning
  • Unsupervised learning
  • What are some of the knowledge-based approaches mentioned in the European Proposal for an AI Act?

    <p>Knowledge representation, inductive (logic) programming, and expert systems</p> Signup and view all the answers

    What are some of the statistical approaches mentioned in the European Proposal for an AI Act?

    <p>Bayesian estimation, statistical inference, and optimization methods</p> Signup and view all the answers

    Study Notes

    AI Software Development Techniques

    • The European Proposal for an AI Act does not include a specific technique that is not categorized among the conventional approaches for developing AI software.

    Outputs of AI Software

    • Artificial Intelligence software can produce various outputs such as predictions, recommendations, classifications, or autonomous actions.
    • Outputs can be utilized in sectors like finance, healthcare, and marketing for informed decision-making.

    Machine Learning Types Excluded

    • The Proposal does not mention a specific type of learning, which may refer to either unsupervised learning or another variant not commonly defined within the standard machine learning paradigms.

    Knowledge-Based Approaches

    • Knowledge-based approaches include rule-based systems, expert systems, and ontologies which employ structured knowledge to make decisions or offer solutions.
    • These approaches rely on human expertise encoded into the systems for reasoning and problem-solving.

    Statistical Approaches

    • Statistical approaches mentioned in the Proposal encompass methods that utilize data analysis, including regression analysis and Bayesian methods.
    • These techniques focus on interpreting large datasets to derive meaningful insights and drive AI functionalities.

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    Description

    Test your knowledge of AI software development techniques and approaches with this quiz! From machine learning to logic- and knowledge-based approaches, including deep learning and knowledge representation, this quiz will challenge your understanding of the European Proposal for an AI Act.

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