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

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.