Understanding AI Ethics and Bias

The video is part of the AI 101 series for teachers, focusing on the benefits and challenges of AI in education. It discusses responsible AI use, data privacy, misinformation, and algorithmic bias. The session emphasizes the importance of ethical AI development and the role of educators in guiding students to critically engage with AI technologies. The video also explores AI's creative potential and the need for diverse perspectives in AI development.

What is one of the main concerns Katrina has about using AI in education?

• AI is not engaging for students.

• AI could compromise student privacy.

• AI might replace teachers.

• AI is too expensive to implement.

According to Michelle, what is a key strategy for using AI responsibly in education?

• Relying solely on AI for teaching.

• Using AI to replace textbooks.

• Ignoring data privacy concerns.

• Ensuring AI tools are safe and factual.

What should educators do to protect student data when using AI tools?

• Share all student data with AI companies.

• Use AI tools without checking privacy policies.

• Ensure AI tools comply with educational privacy laws.

• Avoid using AI tools altogether.

Why is it important to teach students about AI-generated misinformation?

• AI always provides accurate information.

• Students need to learn to trust all AI outputs.

• AI can produce convincing but false information.

• Misinformation is not a concern in education.

What is a recommended approach to help students identify AI-generated fictions?

• Encourage students to accept all AI outputs.

• Teach students to verify information with multiple sources.

• Discourage the use of AI in classrooms.

• Rely on AI for all educational content.

What is algorithmic bias in AI?

• Errors in AI systems that lead to unfair outcomes.

• The speed at which AI processes information.

• AI's ability to learn from diverse data.

• AI's capacity to replace human decision-making.

How can algorithmic bias affect society?

• It eliminates the need for human oversight.

• It can perpetuate existing inequalities.

• It ensures equal opportunities for all.

• It always provides accurate predictions.

What is a guiding principle for teaching about bias in AI?

• Focus only on the technical aspects of AI.

• Assume AI is always neutral.

• Consider the ethical implications of AI.

• Ignore the societal impact of AI.

Why is it important to have diverse perspectives in AI development?

• To limit the use of AI in education.

• To ensure AI tools are expensive.

• To create AI that benefits only a few.

• To address the needs of a diverse society.

What should educators do to address algorithmic bias in their teaching?

• Teach students that AI is infallible.

• Rely solely on AI for student assessments.

• Avoid discussing bias in AI.

• Incorporate discussions on bias and ethics.