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Crossword: Artificial Intelligence

Across

1. Using historical data and machine learning algorithms to make predictions about future events or outcomes.

2. Transparency refers to the ability to clearly understand and interpret the inner workings and decision-making processes of an AI system.

3. Computer programs that use natural language processing and machine learning to simulate conversation with human users.

4. A type of machine learning where the model learns patterns and relationships in data without explicit supervision or labeled examples.

5. The reduction in expenses or overhead through the implementation of AI.

6. A field of artificial intelligence that enables computers to interpret and understand the visual world, including images and videos.

7. An optimization algorithm that mimics the process of natural selection.

8. A subfield of artificial intelligence that focuses on creating machines or models capable of generating new content or responses based on existing data or patterns.

9. A field of study that uses statistical algorithms to enable a machine to improve its performance on a specific task.

10. AI systems are limited to what they have been trained on and cannot generate truly original ideas or concepts.

11. A type of machine learning that involves training a system through trial-and-error using feedback from its environment.

Down

12. AI systems collect and process vast amounts of personal data, raising concerns about privacy and data protection.

13. As AI becomes more integrated into various domains, there is a risk of over-reliance and reduced human autonomy.

14. A type of artificial intelligence that uses a knowledge base and inference rules to solve complex problems in a specialized domain.

15. A step-by-step procedure for solving a problem or accomplishing a task, often used in artificial intelligence to guide machine learning.

16. A type of machine learning algorithm modeled after the structure of the human brain, capable of learning complex patterns and relationships.

17. Machine learning software that acts autonomously on a user's behalf.

18. The process of discovering patterns in large data sets using machine learning and statistical techniques.


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