Page 60 - AI & Machine Learning for Beginners: A Guided Workbook
P. 60
Your Turn: List Additional Biases Below
What other biases might emerge in this scenario? Write
your thoughts here:
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☐ ________________________________________________________________________
☐ ________________________________________________________________________
Privacy Concerns in the Age of AI – Part 1
AI systems often rely on vast amounts of personal data to learn
and operate effectively, raising significant concerns about privacy.
As AI becomes more integrated into everyday life, understanding
what data is collected and how it is used is crucial.
Types of Data Collected by AI
Browsing History – Websites visited, search queries, and online
interactions.
Purchase Records – Shopping habits, transaction histories, and
product preferences.
Location Data – GPS tracking, travel patterns, and geotagged
activities.
Biometric Information – Facial recognition, fingerprints, voice
patterns, and even heart rate data from wearable devices.
As AI systems become more sophisticated, concerns about data
security, consent, and misuse continue to grow. Safeguarding
personal information while leveraging AI’s benefits is a key
challenge in today’s digital world.
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