Module 1: Introduction to Responsible AI

What is the primary goal of Responsible AI?

• To increase automation in all industries

• To reduce human involvement in decision-making

• To align AI systems with ethical, legal, and societal values

• To eliminate all forms of manual data processing

Why is trust important in AI systems?

• It allows for faster data processing

• It reduces the need for regulation

• It encourages the rapid replacement of human workers

• It supports adoption by minimising risks and increasing transparency

What does Responsible AI do to prevent bias and discrimination?

• Uses only historical data for training

• Avoids human intervention in AI systems

• Focuses on fairness and inclusive data practices

• Ignores demographic differences to stay neutral

Which of the following is NOT a reason for the importance of Responsible AI?

• To comply with legal and ethical frameworks

• To promote social and economic benefits

• To increase organisational secrecy

• To align AI with societal values

What is the key idea behind the principle of transparency in Responsible AI?

• Make AI systems work faster

• Hide decision-making logic from users

• Clearly explain how AI systems make decisions

• Share AI source code publicly

How does the principle of fairness apply to AI?

• Ensures AI always agrees with user input

• Provides equal treatment across demographics

• Avoids explaining outcomes

• Limits AI use to only one demographic group

What is a core concept of accountability in Responsible AI?

• Allow AI to self-correct without oversight

• Let AI systems act independently

• Assign responsibility and offer recourse mechanisms

• Avoid audits to maintain secrecy

Which of the following is an element of Privacy and Data Protection in AI?

• Unlimited data collection

• Ignoring user consent

• Data minimisation and informed consent

• Using personal data without disclosure

Why is robustness and safety important in AI systems?

• It helps AI systems replace human workers

• It ensures systems perform reliably and avoid harm

• It allows for faster deployment

• It reduces need for testing

What is a key feature of human-centric AI design?

• Replacing all human decisions

• Limiting user interaction

• Enhancing human well-being and autonomy

• Focusing only on business profits