Ethics in AI

AI raises important ethical questions about bias, privacy, and accountability.

Key Concerns

• Bias in training data
• Privacy and surveillance
• Job displacement
• Deepfakes and misinformation
• Autonomous weapons

Bias Detection in Data

PYTHON

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# Checking for data bias
data = {
    "approved": {"male": 80, "female": 60},
    "rejected": {"male": 20, "female": 40}
}

total_male = data["approved"]["male"] + data["rejected"]["male"]
total_female = data["approved"]["female"] + data["rejected"]["female"]

approval_rate_male = data["approved"]["male"] / total_male
approval_rate_female = data["approved"]["female"] / total_female

print(f"Male approval rate: {approval_rate_male:.1%}")
print(f"Female approval rate: {approval_rate_female:.1%}")

diff = abs(approval_rate_male - approval_rate_female)
print(f"Disparity: {diff:.1%}")
if diff > 0.1:
    print("Warning: Potential bias detected!")

Try It Yourself

Practice

1

Exercise

Practice this concept.

Answer

Write the code as shown above.

Quick Quiz

1

What did you learn?

Concept A

Concept B

Concept C

Concept D

This covers the basics.

Retry Quiz

Interview Questions

Explain this concept.

It is a fundamental AI feature.

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