Artificial Intelligent
elena castro jarabo 3ºB
START
index
atificial intelligent
Bibliography
10.
Introduction
01.
what´s it?
02.
Examples
03.
How does it arise?
04.
AI problems
05.
Conclusion
06.
Question
07.
Video
08.
Quizz
09.
introduction
01. ai
Artificial intelligence (AI) is a set of technologies that enable computers to perform a variety of advanced functions, including the ability to see, understand and translate spoken and written language, analyze data, make recommendations and much more.
what is it?
02. what´s it?
It is the backbone of innovation in modern computing, creating value for people and businesses. For example, optical character recognition (OCR) uses AI to extract text and data from images and documents, converting unstructured content into structured data ready for businesses, as well as providing valuable statistics.
+INFO
03. Examples
- Virtual voice assistants.
- Smart cars.
- Navigators and maps.
- Pre-installed assistants on the latest devices
0.4 How does it arise?
How does it arise?
- In 1952, Arthur Samuel created software capable of learning to play chess independently. The term artificial intelligence was first used at John McCarthy's "Dartmouth Summer Research Project on Artificial Intelligence" conference in 1956.
- Many consider this conference to be the true birth of artificial intelligence as it is known today.
- In 1959, Arthur Samuel himself coined the term Machine Learning while working at IBM. In 1997, the history of AI was marked by an important event.
- IBM's Deep Blue AI triumphed over world chess champion Gary Kasparov. For the first time, man was defeated by machine.
- In 2016 there was another victory for AI over humans, with the triumph of the AlphaGo system.
- Currently, companies in all sectors use Deep Learning and Machine Learning for countless applications. AI continues to advance and surprise with its performance. The dream of artificial general intelligence is getting closer to becoming a reality.
AI problems and solutions
05. AI problems
0.3
Overreliance on AI systems can lead to a loss of creativity, critical thinking ability, and human intuition.
AI technologies often collect and analyze large amounts of personal data, raising issues related to data privacy and security
0.2
AI systems can inadvertently perpetuate or amplify social biases due to biased training data or algorithmic design
0.1
AI dependence
Privacy Concern
Prejudice and discrimination
+INFO
+INFO
+INFO
Conclusion
06.conclusion
In conclusion, artificial intelligence has advanced a lot in just a few years, all thanks to the insistence and curiosity of man. It will continue to evolve and in a few years it is likely that a lot of jobs will be automated, so many workers will be laid off, such as supermarket cashiers or waiters in restaurants.
That is to say, artificial intelligence is wonderful and very useful in many aspects, but humans are beginning to have everything easily by simply asking a computer and we are stopping thinking for ourselves.
An interesting question
07. Question
What would happen if one day AI surpassed humans in a general aspect?
Video about AI
08. Video
0.1
Interactive question
09. quizz
0.1
Interactive question
09. quizz
0.2
bibliography
10. bibliography
- https://cloud.google.com/learn/what-is-artificial-intelligence?hl=es-419
- https://forbes.es/tecnologia/316482/estos-son-los-15-mayores-riesgos-de-la-ia/
- https://www.youtube.com/watch?v=6Ijxpi8zZXw
- https://blog.hubspot.es/marketing/inteligencia-articial-esta-aqui#:~:text=La%20inteligencia%20artificial%20(IA)%20es%20la%20simulaci%C3%B3n%20de%20la%20inteligencia,y%20la%20resoluci%C3%B3n%20de%20problemas.
- https://cloud.google.com/learn/what-is-artificial-intelligence?hl=es-419
- https://es.wikipedia.org/wiki/Inteligencia_artificial
thank you very much for watching
what is it?
more info
Artificial intelligence is a field of science concerned with creating computers and machines that can reason, learn, and act in ways that would normally require human intelligence or that involve data whose scale exceeds what humans can analyze.
AI is a broad field that includes many disciplines, such as computer science, data analysis and statistics, hardware and software engineering, linguistics, neuroscience, and even philosophy and psychology.
At an operational level for business use, AI is a set of technologies that are mainly based on machine learning and deep learning, used for data analysis, generation of predictions and forecasts, categorization of objects, natural language processing, recommendations, intelligent data retrieval and much more.
In 1952, Arthur Samuel created software capable of learning to play chess independently.
Definir mensajes secundarios con interactividad.
Jerarquizarla y darle peso visual a lo principal.
Establecer un flujo através del contenido.
Medir los resultados.
Prejudice and discrimination
·solution·
To minimize discrimination and ensure fairness, it is crucial to invest in the development of unbiased algorithms and diverse training data sets.
Privacy Concern
·solution·
Para mitigar los riesgos para la privacidad, debemos abogar por una normativa estricta de protección de datos y prácticas seguras de tratamiento de los mismos.
AI dependence
·solution·
Striking a balance between AI-assisted decision making and human input is vital to preserving our cognitive abilities.
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Transcript
Artificial Intelligent
elena castro jarabo 3ºB
START
index
atificial intelligent
Bibliography
10.
Introduction
01.
what´s it?
02.
Examples
03.
How does it arise?
04.
AI problems
05.
Conclusion
06.
Question
07.
Video
08.
Quizz
09.
introduction
01. ai
Artificial intelligence (AI) is a set of technologies that enable computers to perform a variety of advanced functions, including the ability to see, understand and translate spoken and written language, analyze data, make recommendations and much more.
what is it?
02. what´s it?
It is the backbone of innovation in modern computing, creating value for people and businesses. For example, optical character recognition (OCR) uses AI to extract text and data from images and documents, converting unstructured content into structured data ready for businesses, as well as providing valuable statistics.
+INFO
03. Examples
0.4 How does it arise?
How does it arise?
AI problems and solutions
05. AI problems
0.3
Overreliance on AI systems can lead to a loss of creativity, critical thinking ability, and human intuition.
AI technologies often collect and analyze large amounts of personal data, raising issues related to data privacy and security
0.2
AI systems can inadvertently perpetuate or amplify social biases due to biased training data or algorithmic design
0.1
AI dependence
Privacy Concern
Prejudice and discrimination
+INFO
+INFO
+INFO
Conclusion
06.conclusion
In conclusion, artificial intelligence has advanced a lot in just a few years, all thanks to the insistence and curiosity of man. It will continue to evolve and in a few years it is likely that a lot of jobs will be automated, so many workers will be laid off, such as supermarket cashiers or waiters in restaurants.
That is to say, artificial intelligence is wonderful and very useful in many aspects, but humans are beginning to have everything easily by simply asking a computer and we are stopping thinking for ourselves.
An interesting question
07. Question
What would happen if one day AI surpassed humans in a general aspect?
Video about AI
08. Video
0.1
Interactive question
09. quizz
0.1
Interactive question
09. quizz
0.2
bibliography
10. bibliography
thank you very much for watching
what is it?
more info
Artificial intelligence is a field of science concerned with creating computers and machines that can reason, learn, and act in ways that would normally require human intelligence or that involve data whose scale exceeds what humans can analyze. AI is a broad field that includes many disciplines, such as computer science, data analysis and statistics, hardware and software engineering, linguistics, neuroscience, and even philosophy and psychology. At an operational level for business use, AI is a set of technologies that are mainly based on machine learning and deep learning, used for data analysis, generation of predictions and forecasts, categorization of objects, natural language processing, recommendations, intelligent data retrieval and much more.
In 1952, Arthur Samuel created software capable of learning to play chess independently.
Definir mensajes secundarios con interactividad.
Jerarquizarla y darle peso visual a lo principal.
Establecer un flujo através del contenido.
Medir los resultados.
Prejudice and discrimination
·solution·
To minimize discrimination and ensure fairness, it is crucial to invest in the development of unbiased algorithms and diverse training data sets.
Privacy Concern
·solution·
Para mitigar los riesgos para la privacidad, debemos abogar por una normativa estricta de protección de datos y prácticas seguras de tratamiento de los mismos.
AI dependence
·solution·
Striking a balance between AI-assisted decision making and human input is vital to preserving our cognitive abilities.