ml001 | How much, if anything, would you say you know about "Machine Learning"? | how much know about machine learning |
ml002a | Computers that can recognize speech and answer questions | Computers that can recognize speech and answer questions |
ml002b | Driverless vehicles which can adapt to road and traffic conditions
| Driverless vehicles which can adapt to road and traffic conditions |
ml002c | Facial recognition computers which can learn identities from video | Facial recognition computers which can learn identities from video |
ml002d | Computer programs which show you websites or advertisements based on your web browsing habits | Computer programs which show you websites or advertisements based on you web browsing habits |
ml002e | Computer which analyze medical records to help diagnose patients
| Computer which analyze medical records to help diagnose patients |
ml002g | Robots that can make their own decisions and can be used by the armed forces
| Robots that can make their own decisions and can be used by the armed forces |
ml002h | Robots that can adapt to the home environment, for example helping to clean the room or caring for older people
| Robots that can adapt to the home environment, for example helping to clean the room or caring for older people |
ml002i | Computers which can make investments in the stock market | Computers which can make investments in the stock market |
ml003 | Some suggest that Machine Learning can benefit society by allowing computers to add to what people can already do, such as diagnosing diseases or making public transport more efficient. Others say they are risks, because the learning process of a computer is not always perfect which can present possible dangers if a computer makes a decision rather than a human. Which or the following is closest to your view about the balance of risks and benefits?
| risks or benefits of machine learning |