5. AI: Training Data & Bias

What is the main point of the video?

• a) The importance of machine learning
• b) The role of humans in training computers
• c) The significance of quality data in machine learning
• d) The potential applications of machine learning

According to the video, how are training data collected by computers?

• a) By directly asking individuals for their input
• b) By collecting data from websites and streaming services
• c) By using images and medical data
• d) By conducting surveys and interviews

Which statement best describes the concept of biased data?

• a) Data that is collected from various sources
• b) Data that excludes certain elements or biases
• c) Data that represents all possible scenarios and users
• d) Data that is used to train computers accurately

What can happen if training data is biased?

• a) The computer may make accurate predictions
• b) The computer may make false predictions
• c) The computer may not function properly
• d) The computer may require additional training

What role do humans play in training computers, according to the video?

• a) Humans provide unbiased data for training
• b) Humans program the algorithms using training data
• c) Humans collect and analyse the data for machines
• d) Humans help computers recognise and diagnose diseases

What is the relationship between data and code in machine learning?

• a) Data and code are separate entities in machine learning
• b) Data is used to program the algorithms instead of code
• c) Data and code are interchangeable in machine learning
• d) Code is used to collect and analyse the data

How does the quality of training data affect machine learning?

• a) High-quality data improves the learning process
• b) The quality of data does not affect machine learning
• c) Low-quality data leads to biased predictions
• d) The quantity of data is more important than quality

What is the main responsibility of humans in providing training data?

• a) Collecting data from multiple sources
• b) Programming the algorithms for machine learning
• c) Ensuring the data is unbiased and diverse
• d) Analysing and interpreting the training data

What programming language is mentioned in the video?

• a) Python
• b) Java
• c) C++
• d) The video does not specify a programming language

What is the role of machine learning in the future?

• a) To develop self-driving cars
• b) To recognise and diagnose diseases
• c) To improve streaming video suggestions
• d) The video does not mention the future role of machine learning