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AI and ML mind map - Coggle Diagram
AI and ML mind map
Privacy and Security challenges
AI's collecting personal data in public spaces without knowledge and consent
Option A: Anonymize data and make it public knowledge
Kantian ethics states that people should be an end and not means
Option B: Continue collecting data to improve the system
Companies sharing sensitive data to 3rd parties
Option A: focus on profit and follow through
Option B: Keep the data confidential
This option is better because it aligns with Kantian principles, respecting people. They are also seen as ends not means
Cybersecurity Risks
People online make deepfake videos of others to manipulate the publics opinion
Option A: Allow freedom of expression per the 1st amendment
Option B: allow certain deepfakes to be taken down
This option is better because it adheres to Utilitarianism (Prioritizes the greater good)
A virus that uses machine learning to predict can counter cybersecurity defenses
Option A: Develop an AI to counter it using pre-existing, known cyberattacks
Utilitarianism is being applied here by thinking about the great good of society by taking an opportunity to develop better countermeasures.
Option B: Rely on people to find, identify, and counter these attacks
Cybersecurity advantages
An AI tool used to flag people as threats based on their internet activity
Option A: Treat the flags as evidences enough for a police investigation
Option B: Have an analyst verify these findings
This option utilizes virtue ethics (Balancing caution with fairness to avoid punishments that are unjust)
Ethical Challenges
Have an AI hire people using bias data
Option A: Continue to use this model
Option B: Look for unbiased data and revise the programing to ensure everything is just
Virtue ethics supports moral character in correcting bias