- PPF Points
- 2,888
I came to understand that technology is about people, not just code, when I began learning about artificial intelligence (AI) and how businesses are using it. Companies must adhere to ethical standards in order to prevent harm because the choices they make when developing AI have the potential to impact millions of people. One thing that truly stood out to me was how minor design decisions can have significant repercussions, particularly if the AI is applied to law enforcement, healthcare, or hiring.
Transparency is, in my opinion, the first ethical rule that businesses should adhere to. I once used a recommendation-making AI tool, but I had no idea how it came to its conclusions. That was awkward. People should be aware of when and how they are interacting with artificial intelligence. Users should be informed when a system makes a decision, such as rejecting a loan application or choosing a job applicant.
Fairness comes next. Biased data can infiltrate an AI model without anyone noticing, as I discovered the hard way. Because of this, businesses must actively detect and minimize bias, particularly in training data. Discrimination may result if a business creates a product that, even unintentionally, benefits one group over another.
Another important one is privacy. I ensured that user consent was explicit and that all data was encrypted when I worked on a project that collected user information. Businesses should protect their data as if it were their own, and they should never gather information without permission.
Accountability is also crucial. There must be a straightforward method to identify the issue and address it if an AI system causes harm. Businesses shouldn't solely attribute the problem to the algorithm. They must possess it since they made it.
I'm in favor of creating AI that helps people. Profit should not be the only objective; improving lives should also be a priority. Businesses can develop AI that not only functions well but also does good when they begin with empathy and accountability.
Transparency is, in my opinion, the first ethical rule that businesses should adhere to. I once used a recommendation-making AI tool, but I had no idea how it came to its conclusions. That was awkward. People should be aware of when and how they are interacting with artificial intelligence. Users should be informed when a system makes a decision, such as rejecting a loan application or choosing a job applicant.
Fairness comes next. Biased data can infiltrate an AI model without anyone noticing, as I discovered the hard way. Because of this, businesses must actively detect and minimize bias, particularly in training data. Discrimination may result if a business creates a product that, even unintentionally, benefits one group over another.
Another important one is privacy. I ensured that user consent was explicit and that all data was encrypted when I worked on a project that collected user information. Businesses should protect their data as if it were their own, and they should never gather information without permission.
Accountability is also crucial. There must be a straightforward method to identify the issue and address it if an AI system causes harm. Businesses shouldn't solely attribute the problem to the algorithm. They must possess it since they made it.
I'm in favor of creating AI that helps people. Profit should not be the only objective; improving lives should also be a priority. Businesses can develop AI that not only functions well but also does good when they begin with empathy and accountability.
