CS Edexcel 5.1b Ethics of AI

What is a common cause of bias in AI algorithms?

• Lack of computational power

• Incomplete or unrepresentative training data

• Excessive data collection

• High processing speed

Which of the following is a potential risk of AI in terms of privacy?

• AI monitoring systems for potential malicious content

• AI systems predicting weather patterns

• AI collecting and analysing personal data without consent

• AI analysing medical data

How can bias in AI algorithms be reduced?

• By using more complex algorithms

• By ensuring diverse and representative training data

• By increasing the number of AI developers

• By reducing the size of the dataset

Which of the following is an example of ethical AI use?

• Using AI to manipulate election outcomes

• Employing AI to assist in medical diagnoses

• Developing AI for autonomous weapons

• Creating AI to spread misinformation

What is the role of data protection regulations in AI?

• To increase the speed of AI development

• To ensure AI systems are more efficient

• To safeguard personal data and privacy

• To reduce the cost of AI technologies

What is a potential consequence of not addressing bias in AI?

• Increased accuracy of AI predictions

• Fair treatment of all individuals

• Discrimination against certain groups

• Reduced computational costs

What is the significance of ethical guidelines in AI research?

• To limit the number of AI applications

• To ensure AI is developed responsibly and safely

• To make AI systems more expensive

• To reduce the number of AI developers

Name a positive impact of using AI on social media platforms

• Monitoring and flagging harmful content

• Creating new social media accounts

• Designing user interfaces

• Increasing advertisement revenue

Name a potential negative impact of AI incorrectly flagging content on social media

• User experience

• User engagement

• Users' freedom of speech

• Users' data security

What balance must a platform find when using AI for content monitoring?

• Between user engagement and advertisement

• Between safety and users' rights

• Between data collection and storage

• Between user interface and design