Gen AI — Ethics

Key ethical issues

1. Bias and fairness
2. Privacy and data protection
3. Transparency and explainability
4. Accountability
5. Environmental impact

Bias detection

def check_bias(text):
    prompt = f"""
Analyze this text for potential biases:
{text}

Consider: gender, race, age, disability, religion.
Output: identified biases and suggestions.
"""
    return client.chat.completions.create(
        model="gpt-4",
        messages=[{"role": "user", "content": prompt}]
    )

Privacy protection

# Anonymize PII
def anonymize_text(text):
    prompt = f"""
Replace all personally identifiable information in this text:
{text}

Replace names with [NAME], emails with [EMAIL], etc.
"""
    return client.chat.completions.create(...)

Transparency

# Always disclose AI involvement
disclaimer = """
This response was generated by AI. 
Please verify important information independently.
"""

Responsible AI practices

1. Document model capabilities and limitations
2. Test for bias across demographics
3. Provide clear AI disclosure
4. Enable human oversight
5. Protect user privacy

Environmental considerations

• Training large models uses significant energy
• Consider carbon offset programs
• Optimize for efficiency

Mini Practice

1. Audit a model for bias
2. Implement PII anonymization
3. Create AI disclosure templates
4. Evaluate environmental impact

Up Next

Continue with Bias - Addressing AI bias.