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1. NEGATIVE IMPACTS

   • Human Takeover
   • Stephen Hawking
     • Famous scientist Sir Stephen Hawking spoke out about it in the past. He said that although the AI we've made so far has been very useful and helpful, he worried that if we teach robots too much, they could become smarter than humans and potentially cause problems.
   • Increased Unemployment

2. POSITIVE IMPACTS

   • The growth in AI has helped companies solve complex issues such as fraud detection, medical diagnosis, weather forecasting
   • Error-free Processing
     • We program the machines for accomplishing a specific task. Thus, the accuracy depends on how well we design and program the machines to carry out the task.
   • https://intellipaat.com/blog/pros-and-cons-of-ai/?US#2
   • Helps in Repetitive Jobs
     • Unlike humans, machines do not require breaks to recover from tiredness and boost productivity.
     • AI-based machines help perform repetitive tasks for a long time without any slowdown.
   • 24/7 Availability
     • An average worker can only invest his/her services for 7–8 hours per day. Humans need time to refresh themselves, and they need to maintain a work-life balance. They cannot work 24 hours a day.
     • Artificial Intelligence helps provide 24/7 services to an organization.
   • Faster Decision-Making
   • https://www.clickworker.com/customer-blog/benefits-of-ai/

3. SIR ANTHONY SELDON

   • Use logos
   • https://www.teachwire.net/ news/are-robots-really-set -to-replace-teachers-sir-anthony-seldon -discusses-ai-and-agency/

4. WHAT IS AI?

   • Artificial intelligence is technology that enables a computer to think or act in a more 'human' way. It does this by taking in information from its surroundings, and deciding its response based on what it learns or senses.
   • It affects the the way we live, work and have fun in our spare time - and sometimes without us even realising. AI is becoming a bigger part of our lives, as the technology behind it becomes more and more advanced. Machines are improving their ability to 'learn' from mistakes and change how they approach a task the next time they try it.
   • Some researchers are even trying to teach robots about feelings and emotions. You might not realise some of the devices and daily activities which rely on AI technology - phones, video games and going shopping, for example.
     • Just this month, it was announced that the NHS in England is setting up a special AI laboratory to boost the role of AI within the health service. Announcing that the government will spend £250 million on this, Health Secretary Matt Hancock said the technology had "enormous power" to improve care, save lives and ensure doctors had more time to spend with patients.

5. WHAT DOES AI DO?

   • AI can be used in healthcare, not only for research purposes, but also to take better care of patients through improved diagnosis and monitoring.
   • It also has uses within transport too. For example, driverless cars are an example of AI tech in action, while it is used extensively in the aviation industry (for example, in flight simulators).
   • Farmers can use AI to monitor crops and conditions, and to make predictions, which will help them to be more efficient.
   • You only have to look at what some of these AI robots can do to see just how advanced the technology is and imagine many other jobs for which it could be used.

6. WHERE DID AI COME FROM?

   • The term 'artificial intelligence' was first used in 1956. In the 1960s, scientists were teaching computers how to mimic - or copy - human decision-making.
     • This developed into research around 'machine learning', in which robots were taught to learn for themselves and remember their mistakes, instead of simply copying. Algorithms play a big part in machine learning as they help computers and robots to know what to do.
       • From here, the research has continued to develop, with scientists now exploring 'machine perception'. This involves giving machines and robots special sensors to help them to see, hear, feel and taste things like human do - and adjust how they behave as a result of what they sense.
   • The idea is that the more this technology develops, the more robots will be able to 'understand' and read situations, and determine their response as a result of the information that they pick up.