1			9
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8																		12
								11
3
			4
					10
5
	6
			7

Across

1. The ability of machines or AI systems to produce original and creative works, such as art, music, or writing.

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

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

4. Industrial robots are designed to perform specific tasks and may lack the ability to handle a wide range of different tasks or adapt to new ones.

5. The programming and reprogramming processes for industrial robots can be complex and time-consuming, requiring specialized knowledge and expertise.

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

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

Down

8. The presence of industrial robots in the workplace can pose safety risks to humans, requiring additional safety measures and protocols.

9. Robots specifically designed for use in industrial applications.

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

11. An electrical actuator that produces linear motion, often used in applications such as robotics or automation systems.

12. The precision of industrial robots is limited, leading to potential errors and inaccuracies in their movements and operations.

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