Lesson 4 Ethics of AI

What is the primary goal of implementing responsible AI principles?

• To maximize profit from AI technologies.
• To reduce the complexity of AI systems.
• Ensure fairness, safety, and accountability

• To ensure ethical and fair use of AI systems.

Answer explanation

Responsible AI ensures systems operate ethically, minimizing harm and bias while maintaining accountability.

Which principle emphasizes ensuring AI systems treat all individuals equitably?

• Accountability
• Fairness
• Efficiency
• Transparency

Answer explanation

Fairness ensures AI systems provide equal treatment and opportunities to all individuals or groups.

A facial recognition system frequently misidentifies individuals from certain ethnic groups. This is an example of:

• Cultural misunderstanding
• Technical malfunction
• Data privacy violation
• Harm of quality of service

Answer explanation

Quality of service harm occurs when AI systems perform inconsistently across different demographic groups.

To promote inclusiveness, AI systems should:

• Provide accessibility for individuals with diverse abilities

• Limit access to AI systems for certain groups.
• Use only a single dataset for training.
• Focus solely on technical performance without considering user needs.

Answer explanation

Inclusiveness ensures AI systems are accessible and beneficial to users of all abilities and backgrounds.

What practice helps ensure the transparency of AI systems?

• Using proprietary algorithms without disclosure.
• Providing clear explanations of AI decisions

• Conducting infrequent performance reviews.
• Limiting access to AI system data.

Answer explanation

Transparency involves making AI decisions understandable and providing insights into system logic.

An AI loan approval system provides different outcomes based on gender. This violates which principle?

• Fairness

• User consent and awareness principle
• Data privacy and security principle
• Transparency in algorithm design

Answer explanation

Fairness prohibits AI systems from discriminating based on demographic factors like gender.

Which of the following measures supports privacy in AI?

• Data sharing without consent
• Data anonymization and encryption
• Collecting excessive personal information
• Using unencrypted data storage

Answer explanation

Anonymization protects personal data by removing identifiable information.

An AI tool produces biased hiring recommendations due to historical training data. What should be done?

• Ignore the bias and continue using the tool as is.
• Rely solely on AI recommendations without human input.
• Use the same historical data for future hiring decisions.
• Audit the data and address biases

Answer explanation

Bias in data must be identified and corrected to ensure the fairness of AI outputs.

Which of the following is essential for establishing trust in AI systems?

• Limited data access
• Complex algorithms
• High processing power
• Regular audits and transparent operations

Answer explanation

Regular audits and transparency build trust by ensuring systems are accountable and understandable.

Ensuring compliance with data protection laws aligns with which principle?

• Transparency
• Privacy and security

• Data Minimization
• User Consent

Answer explanation

Privacy and security ensure that personal data is handled lawfully and protected from misuse.