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AI and ML - Coggle Diagram
AI and ML
Ethical Challenges
Bias in AI Algorithms: Risks of perpetuating discrimination.
Autonomy in Decision-Making: Allowing AI to make life-altering decisions without human oversight.
Accountability: Who is responsible for AI errors?
Scenario 1: Hiring Algorithms
Ethical Option: Auditing AI for bias and ensuring fairness.
Unethical Option: Ignoring biases as “unintended consequences.”
Choice: Ethical option; Aristotle’s virtue ethics emphasizes fairness and justice.
Scenario 2: Autonomous Weapons
Ethical Option: Ensuring human oversight for all critical decisions.
Unethical Option: Allowing fully autonomous systems to engage in lethal actions.
Choice: Ethical option; aligns with the ethical principle of proportionality and minimizing harm.
Cybersecurity Advantages
Threat Detection: AI's ability to identify and mitigate risks quickly.
Automated Responses: Faster reactions to cyberattacks.
Behavioral Analysis: Monitoring unusual activity to prevent breaches.
Scenario 1: Monitoring Employee Activity
Ethical Option: Using AI responsibly, with employees’ consent and clear boundaries.
Unethical Option: Using AI to invade employees' privacy under the guise of cybersecurity.
Choice: Ethical option; utilitarianism supports balancing privacy with overall security benefits.
Scenario 2: Sharing Threat Data
Ethical Option: Sharing anonymized data with industry partners to strengthen defenses.
Unethical Option: Sharing detailed user data without anonymization.
Choice: Ethical option; it reduces risks while protecting user privacy, aligning with deontological ethics.
Cybersecurity Risks
Over-reliance: Dependence on AI leading to vulnerabilities if it fails.
Scenario 1: False Positives in Fraud Detection
Ethical Option: Providing an appeals process for flagged users.
Unethical Option: Denying users the ability to contest decisions.
Choice: Ethical option; it ensures fairness and respects user rights under social contract theory.
False Positives: Incorrectly flagging legitimate actions as threats.
AI Exploitation: Cybercriminals using AI for advanced attacks.
Scenario 2: Developing Offensive AI Tools
Ethical Option: Using AI defensively only.
Unethical Option: Creating AI tools for offensive cyberwarfare.
Choice: Ethical option; aligns with the principle of minimizing harm (non-maleficence).
Privacy and Security Challenges
Data Collection: How AI collects personal information.
Scenario 1: Data Collection Transparency
Ethical Option: Informing users about what data is collected and obtaining consent.
Unethical Option: Collecting data secretly or using vague terms of service.
Choice: Ethical option; it aligns with the ethical principle of autonomy and respects individuals' rights to control their personal information.
Data Storage: Risks of storing large volumes of sensitive data.
Data Misuse: Potential for misuse of collected data, such as selling it without user consent.
Scenario 2: Data Breaches
Ethical Option: Disclosing breaches promptly and assisting affected users.
Unethical Option: Concealing breaches to avoid reputational damage.
Choice: Ethical option; Kantian ethics supports honesty and transparency as moral imperatives.