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Crossword: Artificial Intelligence

Across

1. Explainability is the ability to provide understandable explanations or justifications for the decisions and outcomes generated by an AI system.

2. AI systems can be vulnerable to hacking and manipulation, leading to potential security breaches and misuse of information.

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

4. A type of machine learning algorithm that uses layers of neural networks to learn and make predictions from complex data sets.

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

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

7. AI systems often face ethical dilemmas where they have to make decisions that may have moral implications, raising concerns about accountability and responsibility.

8. Machine learning models that can generate new and original content, such as images, texts, or music.

9. The simulation of human intelligence processes by computer systems.

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

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

Down

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

13. The potential loss of jobs as AI systems become more capable and automated processes replace human labor.

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

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

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


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