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AI and ML (Artificial Intelligence and Machine Learning) - Coggle Diagram
AI and ML (Artificial Intelligence and Machine Learning)
Privacy and Security Challenges
Sub-branches:
Data collection without consent
AI facial recognition tracking people’s movements
Misuse of personal data in machine learning models
Ethical scenarios:
Company uses AI to monitor employee activity
Option A: Use data for productivity improvement
Option B: Respect privacy and limit monitoring
I choose Option B (based on Kantian ethics — respect for autonomy and privacy).
AI system trained on medical data without patient consent
Option A: Proceed for faster medical breakthroughs
Option B: Get consent to respect privacy
I choose Option B (based on Rights-based ethics — individuals’ right to privacy).
Cybersecurity Advantages
Sub-branches:
AI improves threat detection speed
Predictive analysis prevents attacks before they occur
Ethical scenarios:
AI detects suspicious user behavior (could be false positive)
Option A: Automatically block user
Option B: Review manually to prevent harm
I choose Option B (based on Utilitarianism — minimize harm, maximize fairness).
Using AI to monitor public networks for threats
Option A: Monitor all users equally
Option B: Focus only on high-risk data
I choose Option A (based on Justice ethics — fairness and equality).
Cybersecurity Risks
Ethical scenarios:
Sub-branches:
AI tools can be hacked or misused
Deepfakes and social engineering threats
Data poisoning (bad data corrupting models)
AI developer discovers security flaw
Option A: Keep secret to protect company reputation
Option B: Report the flaw responsibly
I choose Option B (based on Virtue ethics — honesty and integrity).
AI-generated phishing emails used by criminals
Option A: Restrict access to generative AI tools
Option B: Provide them freely with ethical guidelines
I choose Option A (based on Consequentialism — prevent greater harm).
Ethical Challenges
Sub-branches:
Bias and fairness in AI decisions
Job loss due to automation
Accountability for AI actions
Ethical scenarios:
AI rejects job candidates due to biased training data
Option A: Keep system as is for efficiency
Option B: Redesign AI for fairness
I choose Option B (based on Deontological ethics — moral duty to be fair).
Company replaces humans with AI to save costs
Option A: Lay off workers
Option B: Retrain workers for AI-related roles
I choose Option B (based on Care ethics — empathy and community).