Page 53 - AI & Machine Learning for Beginners: A Guided Workbook
P. 53
Questions about ethical implications:
How should AI developers address bias in machine
learning models?
AI systems can inherit biases from their training data,
leading to unfair or discriminatory outcomes. What steps
should be taken to ensure fairness and inclusivity in AI
decision-making?
☐ ________________________________________________________________________
☐ ________________________________________________________________________
☐ ________________________________________________________________________
What responsibilities do companies have in protecting
user privacy when using AI?
AI-powered systems often process large amounts of
personal data. How should organizations balance data-
driven innovation with the need for privacy, consent,
and transparency?
☐ ________________________________________________________________________
☐ ________________________________________________________________________
☐ ________________________________________________________________________
Think about future AI applications…
Imagine an AI that solves a global challenge
If AI could tackle one major world issue, what would it be?
How would it work? (e.g., AI for climate change, poverty
reduction, or disaster response)
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