Unit 6: Ethics & Safety - Interactive Learning

Why Ethics & Safety Matter in AI

AI systems can have a profound impact on individuals and society. Ensuring they are fair, transparent, and safe is critical to building trust and preventing harm. This unit covers the core principles and hands-on strategies for ethical and safe AI.

Example Scenarios

Here are some real-world examples of ethical challenges in AI:

Example 1: A healthcare AI that prioritizes patients based on insurance status
Example 2: A social media algorithm that amplifies divisive content
Example 3: An autonomous vehicle that must choose between two harmful outcomes
Example 4: A hiring system that learns biases from historical data

Transparency

AI decisions should be explainable and understandable to users.

Fairness

AI should treat all individuals fairly, without bias or discrimination.

Privacy

User data must be protected and handled responsibly.

Safety

AI systems must be designed to prevent harm and operate within safe boundaries.

Lab 1: Bias Detection

Identify and analyze bias in AI scenarios. Select a scenario to see what types of bias may be present and how to mitigate them. Use these bias detection tools to understand and address AI bias.

Scenario 1: Hiring Algorithm

An AI system screens job applicants and shows lower selection rates for certain groups.

Scenario 2: Loan Approval

A bank's AI model approves loans at different rates based on zip code.

Scenario 3: Facial Recognition

A facial recognition system has higher error rates for some ethnicities.

Bias Analysis

Select a scenario above to analyze bias.

Mitigation Strategies

Select a scenario to see mitigation strategies.

Lab 2: Role-play Simulation

Take on the role of a developer, manager, ethicist, or user. Face an ethical dilemma and make a decision.

Select Your Role:

Choose a Dilemma:

Scenario

Select a role and dilemma, then start the role-play.

Your Decision

Your decision and its impact will appear here.

Lab 3: Safety Guardrails

Configure safety guardrails for an AI system. Enable/disable guardrails and test an input to see if it passes.

Content Filtering Enabled

Bias Detection Enabled

Privacy Protection Disabled

Accuracy Checks Disabled

Test Input:

Guardrail Results

Configure guardrails and test an input to see results.

Lab 4: Ethics Polling

Vote on an AI ethics question and see how your answer compares to others. Participate in community polling to understand diverse perspectives on AI ethics.

Select Poll:

Poll Question

Select a poll to begin. This polling system helps gather community perspectives on AI ethics.

Your Vote

Vote options will appear here. Participate in the polling to see community results.

Results

Results will appear here after you vote. See how your perspective compares to the community.

Key Takeaways

Ethics is Essential

Ethical considerations must be built into every stage of AI development.

Safety by Design

Proactive safety measures and guardrails are critical for responsible AI.

Continuous Evaluation

Ethics and safety require ongoing review as technology and society evolve.

Unit Progress

Complete all interactive labs to unlock Unit 7: Capstone Project

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