AI Ethics

What role does transparency play in AI ethics?

• Transparency is only necessary for regulatory compliance.

• Transparency is irrelevant to AI development.

• Transparency is essential for building trust and accountability in AI systems.

• Transparency complicates the AI decision-making process.

Why is accountability important in AI development?

• Accountability is crucial in AI development to ensure responsible use, promote transparency, and build trust.

• Accountability is only necessary for human resources.

• Accountability is irrelevant in AI development.

• Accountability hinders innovation in AI.

How can we ensure that AI respects user privacy?

• Implement data anonymization, access controls, clear privacy policies, user opt-out options, and regular audits.

• Allow unrestricted data access for AI

• Disable user opt-out options

• Use vague privacy policies

a specific situation in which a choice has to be made between alternatives that are conflicting but arguably valid.

• Legality

• Ethical Problem

• Conscience

• Values

Tags

CCSS.RL.11-12.2

CCSS.RL.9-10.2

CCSS.RI. 9-10.9

CCSS.RI.11-12.9

CCSS.RL.8.2

Although there might be overlap between ethics and the law, they are not always in line with each other.

• True

• False

Tags

CCSS.RI.8.1

CCSS.RI.8.8

CCSS.RL.11-12.1

CCSS.RL.8.1

CCSS.RL.9-10.1

n ethical problem exists when you encounter a situation that requires you to make a choice among conflicting but arguably valid options.

• True

• False

Tags

CCSS.RL.11-12.2

CCSS.RL.9-10.2

CCSS.RI. 9-10.9

CCSS.RI.11-12.9

CCSS.RL.8.2

In an ethical problem, the right choice among the alternatives is always clear.

• True

• False

Tags

CCSS.RL.11-12.2

CCSS.RL.9-10.2

CCSS.RI. 9-10.9

CCSS.RI.11-12.9

CCSS.RL.8.2

What are some ethical considerations when using AI in education?

• Ignoring algorithm bias

• Unlimited data sharing

• Data privacy, algorithm bias, transparency, accountability, complementing human teachers

• Lack of accountability

Answer explanation

The correct answer includes ethical considerations such as data privacy, algorithm bias, transparency, accountability, and complementing human teachers in AI education.

How can high school students ensure they are using AI ethically in their studies?

• Critically evaluate sources, understand biases, be transparent, seek guidance.

• Rely solely on AI recommendations without verification

• Avoid seeking guidance, trust AI completely

• Ignore biases, use AI without questioning its results

Answer explanation

High school students can ensure they are using AI ethically by critically evaluating sources, understanding biases, being transparent, and seeking guidance.

Tags

CCSS.RI.3.5

CCSS.RL.4.1

CCSS.RL.5.1

CCSS.RL.9-10.9

Why is plagiarism a significant ethical issue when using AI in education?

• Plagiarism promotes creativity and collaboration in educational settings.

• Plagiarism encourages critical thinking and problem-solving skills.

• Plagiarism undermines the principles of originality and honesty in learning environments.

• Plagiarism has no impact on the integrity of academic work.

Answer explanation

Plagiarism undermines the principles of originality and honesty in learning environments.

Tags

CCSS.RI.3.5

CCSS.RL.4.1

CCSS.RL.5.1

CCSS.RL.9-10.9