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https://scratch.mit.edu/projects/editor/?tutorial=getStarted
https://quickdraw.withgoogle.com/
https://youtu.be/uiGl6oF5-cE?si=9e_FiufDl05bHrGf
https://youtu.be/Xw-zxQSEzqo?si=sWR1GddxFPUM6a-R
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https://youtu.be/zKUA72Ka0zA?si=RvdEcDjFaJ4Qz40H
"Your scientists were so preoccupied with whether or not they could, they didn't stop to think if they should." — Ian Malcolm, Jurassic Park
Why is AI important?
AI can help solve big problems, like predicting natural disasters, finding cures for diseases, or making our daily lives easier with things like self-driving cars.
Ethical considerations:
As AI becomes more advanced, we need to make sure it's used responsibly and ethically. This means thinking about things like privacy, fairness, and how AI might affect people's lives.
How can you get involved?
If you're interested in AI, there are lots of ways to get started! You can learn coding languages like Python, explore online courses or join AI clubs at school.
Conclusion:
Artificial Intelligence is like having a super-smart friend who helps us do amazing things. And just like any powerful tool, we need to use it wisely and think about how it can make the world better for everyone.
should humans be scared of AI
It's natural to feel a bit nervous or unsure about new technologies, especially ones as powerful as AI. However, whether humans should be scared of AI depends on how it's used and how we prepare for its development.
Reasons to be cautious:
Job Displacement: AI might automate some jobs, leading to unemployment for some people. However, it's also likely to create new jobs and opportunities.
Privacy Concerns: AI can collect and analyze large amounts of data, raising concerns about privacy and surveillance if not properly regulated.
Bias and Fairness: AI algorithms can sometimes reflect the biases of their creators or the data they're trained on, leading to unfair outcomes in areas like hiring or criminal justice.
Autonomy: There are concerns about giving too much decision-making power to AI systems, especially in critical areas like healthcare or transportation.
Reasons not to be scared:
Control: Humans ultimately design and control AI systems. By implementing regulations and ethical guidelines, we can ensure that AI is used responsibly.
Collaboration: AI has the potential to work alongside humans, complementing our skills and helping us solve complex problems more effectively.
Beneficial Applications: AI has already led to many positive developments, such as improving healthcare, enhancing productivity, and aiding scientific research.
Education and Awareness: By educating ourselves about AI and fostering discussions about its impact, we can better prepare for its integration into society and mitigate potential risks.
In summary, while it's important to approach AI with caution and awareness of its potential risks, there's also a lot of potential for positive impact. By addressing concerns through regulation, ethical guidelines, and responsible development, we can harness the benefits of AI while minimizing its drawbacks.
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Artificial Intelligence Questions
1. Name the machine developed during the Second World War to crack the Enigma code.
2. State the type of artificial intelligence used to develop driver less cars.
3. Describe what is meant by the term ‘artificial intelligence.’
4. Give two reasons why research into the use of artificial intelligence increased after the
1950s.
5. Explain why Deep Blue might not be able to beat Garry Kasparov in a chess rematch.
6. Evaluate the potential development of self-aware machines in the future.
7. Suggest an example of machine learning not already mentioned in the text.
Artificial Intelligence Answers
1. Name the machine developed during the Second World War to crack the Enigma code.
the Bombe
2. State the type of artificial intelligence used to develop driver less cars.
limited memory
3. Describe what is meant by the term ‘artificial intelligence.’
The ability of machines to solve complex problems in the same way that humans
can.
4. Give two reasons why research into the use of artificial intelligence increased after the
1950s.
Responses could include:
• Until the 1950s, computers could carry out commands but not store them (they
had limited memory).
• The term artificial intelligence was not used until 1950 (by John McCarthy).
• The first major conference about artificial intelligence happened in 1956. This
brought about the start of major research into this field.
• Computers became cheaper to run after this time, meaning their use was
more widespread. Before this, they were only used by large organizations.
5. Explain why Deep Blue might not be able to beat Garry Kasparov in a chess rematch.
Deep Blue is an example of a reactive machine. This means it could not store or
learn from each of its matches with Kasparov. Kasparov could eventually beat
Deep Blue by learning from previous matches
6. Evaluate the potential development of self-aware machines in the future.
Student responses will vary but should include a benefit and a problem relating to
the development of self-aware machines.
Benefits could include:
• Self-aware machines could make decisions for themselves and learn from their
experiences.
• This means they could solve more problems for humans without being specifically
programmed to do so.
• An example of where this could be useful is to deliver intuitive and personalised
care for patients in hospitals or residential settings.
Problems could include:
• Self-aware machines understand their own needs and reason for existence.
• The line between human and machine would be blurred, and some people might
think that self-aware machines have rights.
• There would be the potential for machines to make the wrong decision. This
could cause harm to humans.
• Self-aware machines might replace humans in the workplace leading to increased
unemployment.
7. Suggest an example of machine learning not already mentioned in the text.
Any example of a machine learning from user data should be credited.
Answers could include:
• adverts on social media, tailored to your shopping or scrolling preferences