Part 1. AI Ethics - Designing AI for Ethical Decisions: A New Perspective

If we assume that both humans and artificial use "The best you can do under the circumstances" approach to ethical decision-making we need to have a deeper level of understanding of the humans and AI decision-making protocols. Humans make decisions using a snapshot approach to a problem, while artificial intelligence uses a continuum-flowing process approach. The difference in perspectives between AI and humans can significantly impact the process of making ethical decisions. Humans, with their 'snapshot' view, make decisions based on a combination of their immediate perception, past experiences, and emotional responses. This can lead to decisions that are more contextually nuanced and sensitive to the unique aspects of a situation. Let’s design an AI application that allows the user both a continuum-flowing process and a snapshot view of a problem.

AI, on the other hand, has a 'flowing process' view, continuously integrating new data and learning from it. This allows AI to make decisions based on a vast amount of information and more consistent criteria. Imagine an AI existing across a vast network of computers, constantly bombarded with information streams. It wouldn't perceive the world in snapshots like us, but rather as a continuously flowing process. It could perceive the complex interplay of cause and effect across vast timescales, understanding the ripple effects of events in ways our linear perception simply can't.

Let's say you see a friend, Alex, pushing another kid, Ben, on the playground (that's the snapshot). A human might quickly decide that Alex is being mean and should be punished. But, if we watch the whole "video" (flowing process), we might see that Ben was actually teasing Alex first, and Alex was just reacting. AI might consider this bigger picture and suggest a more fair solution, like talking to both kids about kindness and resolving conflicts peacefully.

When designing an AI application that provides both a continuous flowing process view and a snapshot view, there are several steps to consider. Here are some key steps:

1. Define the user requirements: Understand the specific needs and preferences of your target users.
2. Determine the data sources: Identify the data sources needed to generate the continuous flowing process view and the snapshot view.
3. Design the user interface: Create an intuitive and visually appealing interface that allows users to seamlessly switch between the continuous flowing process view and the snapshot view.
4. Develop AI algorithms: Select or develop AI algorithms that can analyze the data and generate insights for both the continuous flowing process view and the snapshot view.
5. Implement real-time updates: Establish a mechanism to update the continuous flowing process view in real-time as new data becomes available. This may involve integrating with real-time data streams, databases, or APIs. Ensure that the application can handle data updates efficiently and display the updated information to users in a timely manner.
6. Capture and display snapshot views: Design a method to capture and present snapshot views of the problem at specific moments. This could involve allowing users to manually trigger the snapshot view or automatically generating snapshots based on predefined criteria. Ensure that the snapshot view provides a comprehensive and concise representation of the problem at a given time.
7. Enable user interactions: Provide users with the ability to interact with both the continuous flowing process view and the snapshot view. Allow users to zoom in, zoom out, filter, or analyze specific aspects of the problem in each view. Provide interactive features that enable users to explore the data and gain deeper insights.
8. Test and iterate: Conduct user testing and gather feedback to identify any usability issues or areas for improvement. Continuously iterate and refine the design based on user feedback to enhance the usability and effectiveness of the application.

By following these steps, you can design an AI application that provides the different perspectives of humans and AI, with humans having a snapshot view and AI having a continuously flowing process view, can have an impact on ethical decision-making.

Humans, with their snapshot view, tend to make decisions based on their immediate understanding of a situation. They rely on their intuition, emotions, and personal values to make ethical judgments. However, this can sometimes lead to biases, limited perspectives, and subjective interpretations of the situation. Humans may also be influenced by external factors or personal experiences that could cloud their judgment.