5.2.2: understand ethical and legal issues associated with the use of artificial intelligence, machine learning and robotics accountability, safety, algorithmic bias, legal liability)
Keyword | Definition |
---|---|
accountability | who is responsible for maintaining, replacing or fixing a computer system or algorithm |
algorithmic bias | when an algorithm gives unfair results either deliberately or accidentally due to input data that favours one particular outcome |
artificial intelligence | when a computer can make decisions or interact with the world in a similar way to a human |
autonomous machine | an intelligent computer controlled device which can make decisions for itself such as a driverless car, automated weapon or surgical robot |
ethical issues | questions related to what is morally right or wrong |
legal issues | questions related to what is or isn't against the law |
legal liability | who is responsible to pay a fine or go to prison if an algorithm fails, breaks the law or hurts someone |
machine learning | when a computer can be trained by analysing lots of test input data to recognise how to solve a problem for itself |
robotics | when a computer can move or control industrial equipment to automate repetitive or dangerous tasks |
safety | how secure a computer system is and how likely people are to be harmed by its operation |
self-learning | a type of computer, machine or robot that can learn from its own mistakes |