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Artificial Intelligence & Machine Learning - Coggle Diagram
Artificial Intelligence & Machine Learning
Cybersecurity Risks
Scenario 1
A data breach occurs and user data gets exposed.
Ethical option
Inform those who have been affected and take steps to prevent future breaches.
I would choose this option because according to Kant's ethics we should have honesty and respect for individuals. So it is important to notify the users whose information has been exposed.
Unethical option
Hide the breach to avoid negative publicity and neglect implementing more security.
Scenario 2
Addressing AI vulnerabilities.
Ethical option
Disclose AI vulnerabilities to developers so that they can be patched.
I would choose this option because according to Utilitarianism, AI vulnerabilities can cause significant harm. So addressing vulnerabilities gives the chance to avoid any risks from them.
Unethical option
Exploit AI vulnerabilities for personal or financial gain.
Cybersecurity Advantages
Scenario 1
A company uses AI for intrusion detection.
Ethical option
Ensure that AI is trained and can detect a wide range of threats. Transparent with employees and stakeholders about its capabilites.
I would choose this option because according to utilitarianism it is important that AI is properly trained to minimize harm and to maximize well-being.
Unethical option
Deploy the AI system with minimal testing and no proper training, Do not inform employees or stakeholders about the use of AI.
Scenario 2
Implementing AI for automated responses to incidences.
Ethical option
Ensure human oversight and regularly audit AI actions.
I would choose this option because from a Kantian ethics perspective, human oversight is needed to ensure that AI systems operate within ethical boundaries. It respects the duty to avoid causing harm by making sure that AI aligns with human values.
Unethical option
Rely entirely on AI without any human oversight, which risks mistakes that could happen.
Ethical Challenges
Scenario 1
Addressing bias in AI algorithms.
Ethical option
Conduct regular audits for bias, involve ethical professionals during AI training.
I would choose this option because according to virtue ethics we should make sure that AI represents fairness and justice, and not include bias that could harm users.
Unethical option
Ignore bias, use data sets with bias, don't prioritize fairness.
Scenario 2
Addressing job displacement due to AI.
Ethical option
Focus on improving skills that AI can't do, invest in employee training.
I would choose this option because from a virtue ethics perspective we need to develop virtues such as compassion and justice. Addressing job displacement shows that we have these virtues towards those who could be affected by job displacement.
Unethical option
Implement AI without considering its impact on jobs, ignore retaining employees.
Privacy and Security Challenges
Scenario 1
Handling user data for AI training.
Ethical option
Implement strong data protection measures, ensure transparency, obtain consent from users.
I would chose this option because according to utilitarianism we must ensure the greatest good for the greatest number by protecting individuals privacy.
Unethical option
Collect user data without consent and use it for purposes not disclosed to users.
Scenario 2
Company or government uses AI surveillance/monitoring system to enhance safety.
Ethical option
Use it with strict regulations, comply with privacy laws, and avoid misuse.
I would choose this option because according to Kant's ethics we should focus on the duty to respect individual's rights and privacy.
Unethical option
Implement it without any transparency and be overly invasive.