Page 65 - AI & Machine Learning for Beginners: A Guided Workbook
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Summary & Moving Forward Responsibly
AI presents incredible opportunities, but it also comes with ethical
challenges that must be carefully addressed.
Key Risks & Ethical Considerations
Bias – AI systems can inherit biases from their training data,
leading to unfair outcomes in hiring, healthcare, finance, and other
areas.
Privacy – AI relies on vast amounts of personal data, raising
concerns about data protection and surveillance.
Misinformation – AI-generated content can spread false
information, making digital literacy more critical than ever.
Job Transformation – Automation impacts employment,
shifting workforce demands, and requiring new skills for
adaptation.
Ensuring AI Benefits Society
Proactive measures, such as fair data practices, transparency,
regulation, and ongoing public dialogue, help ensure that AI
development aligns with human values and ethical principles.
Next Steps: Empowering Your AI Literacy Plan
Finally, let's focus on building your own AI literacy plan and
continuing your learning journey.
Next Steps: Empowering Your AI Literacy Plan
Finally, let's focus on building your own AI literacy plan and
continuing your learning journey.
Building Your AI Literacy Plan
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