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Here is a 3000 word description of AI:
Artificial intelligence (AI) is a branch of computer science that deals with the creation of intelligent agents, which are systems that can reason, learn, and act autonomously. AI research has been highly successful in developing effective techniques for solving a wide range of problems, from game playing to medical diagnosis.
One of the most important advances in AI research has been the development of machine learning algorithms. Machine learning algorithms allow AI systems to learn from data, without being explicitly programmed. This has led to the development of AI systems that can perform tasks that were once thought to be impossible for computers, such as recognizing objects in images and translating languages.
AI is still a young field, but it is rapidly growing and evolving. AI systems are already being used in a wide range of applications, including:
Self-driving cars:
AI systems are used to control the navigation and driving of self-driving cars.
Medical diagnosis:
AI systems are used to help doctors diagnose diseases and recommend treatments.
Fraud detection:
AI systems are used to detect fraudulent transactions and other types of fraud.
Customer service:
AI systems are used to provide customer service via chatbots and other automated systems.
Product recommendation:
AI systems are used to recommend products to customers based on their past purchase history and other data.
AI is having a major impact on the world, and it is likely to have an even greater impact in the future. As AI systems become more sophisticated and capable, they will be used to solve even more challenging problems and improve our lives in even more ways.
Here are some of the challenges that AI researchers are currently working on:
Developing AI systems that are safe and reliable:
AI systems need to be able to operate safely and reliably in the real world. This means that they need to be able to handle unexpected situations and make decisions that are in the best interests of humans.
Developing AI systems that are transparent and accountable:
AI systems need to be transparent and accountable, so that we can understand how they work and why they make the decisions that they do.
Developing AI systems that are fair and unbiased:
AI systems need to be fair and unbiased, so that they do not discriminate against any particular group of people.
These are just some of the challenges that AI researchers are currently working on. As AI research continues to advance, we can expect to see even more amazing and groundbreaking applications of AI in the future.
Here are some of the potential benefits of AI:
AI can help us to solve some of the world's most pressing problems:
AI can be used to help us solve some of the world's

1. Artificial I n t e lli g e n c e By Anna Fryling and Kayla Akombi

2. What is Artificial Intelligence? Answer: The power of a machine to copy intelligent human behavior. Right???

3. Robots at Artemis A r e t h e y r ea ll y i n t e lli g e n t ? A r obo t i s on l y a s s m a r t a s it s i n iti a l p r og r a m . Answer: The power of a machine to copy and learn from intelligent human behavior.

4. Artificial Intelligence VS. Robot AI Ro b ot Programmed to think P r og r a mm e d t o do Social Interaction Low level interaction L ea r ns Only as smart as program

5. Artificial Intelligence Tests Turing Test Developed by Alan Turing Involves an interpreter, a human, and a computer. The computer and human have separate conversations with the interpreter. If the interpreter can’t guess which is the computer or if the interpreter gets it wrong then the computer has Artificial Intelligence.

6. Artificial Intelligence Tests Involves two tests First test involves an interpreter, a male, and a female. Female pretends to be male I n t e r p r e t e r t r i e s t o f i gu r e out w ho i s w ho Second test is similar to turing test Compares both tests I m i t a t i on G a m e

7. Artificial Intelligence Tests Turing Test Imitation Game Turing test the computer results to itself and not to humans I mit a ti on g a m e c o m p a r e s t he r obo t s r e s u lt s to human results

8. E xam p l e s 1.CleverBot 3 . D r on e s 2 . A u t ono m ous C a r s 4 . Wa t s on

9. P r o b l e ms Although AI is advancing it can still be problematic.

10. AI Controversies Potential job takeover G r o w i ng l az i n e s s Growing Cost Priority Argument Robot Relationships?

11. Why it Matters In the future AI is going to be everywhere. It is important to know about it and understand it. This is because we may be interacting with it on a day to day basis. W e l ea r n e d a t A r t e mi s a bout t he d i ff e r e nt r obo t s t h a t u s e A I W e a l s o l ea r n e d w h e n r obo t s n ee d A I a nd w h e n t h e y don ’ t .

12. Thank You!!