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Artificial Intelligence (AI) & Machine Learning (ML) Mind Map, Privacy…
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Cybersecurity Advantages
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Scenario #2: A recent breach from a massive data warehouse just got leaked. The company has an opportunity train it's AI on this data in order to better refine outputs and reduce cybersecurity instances on our end
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Scenario #1: A company's AI algorithm can establish normal user behavior patterns and detect anomalies, which enhance security. Privacy advocates are imploring companies reduce their overlooking of customers using their algorithms
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Option #2: Give into the advocates wishes. Stop monitoring user behavior in order to grant privacy to those who use the algorithm
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Cybersecurity Risks
Scenario #1: Our security provider just had a data breach that includes some of our customers data. It was entirely not our fault.
Option #1: Take some accountability for the breach and mitigate disaster response as best as possible
This is the best course of action. We have a responsibility to protect our customers data, even if it wasn't our fault. Based on the concept of Universalism; this act would treat all persons with respect and dignity. All people would choose this option, because if not, then nobody would trust companies with their data
Option #2: Place the blame entirely on the provider and make no efforts to help consumers with loss. It was not our fault anyway
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Scenario #2: Recently, we have uncovered our AI and ML algorithms have been training on bad data that was implemented by a bad actor. It's causing bad outputs and bypassing security measures
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Option #2: Update security measures, secure data handling procesures and audit the new data. Omit the bad data.
This is the best course of action. This will actually address the underlying issue and prevent this from happening in the future. Based on the concept of Utilitarianism, more specifically the consequentialist principle, this action will be morally right since it produces the greatest good for the greatest number of people, net benefits over costs are greater, and each individual benefits are increased
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Ethical Challenges
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Scenario #2: A company's AI and ML algorithms does not have a disclaimer on how outputs are delivered and where that data is coming from
Option #1: Have a clear and precise disclaimer of data acquisition methods, data filtering, and how data is used to output the desired response.
This is the best course of action. The customers have a right to know how their algorithms are being trained, what data they are using, and how it is used to produce the desired output. This is ethical based on the Rights moral approach. Specifically, the negative rights idea, which states that we have a duty to not interfere with action's related to a person's rights
Option #2: Vaguely state how the data is acquired, filtered and used to output the commands.
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Scenario #1: A company gets more and more aggregated data fed into their AI and ML algorithms. In the beginning they were free, but now they are considering charging for their AI software
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