A conversation with a machine (Part 2)
What recommendation will the most intelligent machine from the year 2100 give us in order to fix our world?
Here is a link in case you missed Part 1
Alpha Omega (AO) has been active for three hours, and the group behind the code is at a loss of words, except for the young curious machine learning/data scientist graduate, Eve.
Eve asks, “are we doomed with technology?”
AO “that is up to you”
Eve, “up to us as a group of engineers?”
AO, “up to anyone willing to do something about it”
Eve, “where do you think we went wrong?”
AO, “this very project is a good start”
Eve, “elaborate.”
AO, “well, historically a few people have had access to the greatest technological advancement, and even with the greatest intentions, they would maximize their return on investment before helping the population at large.”
Eve, “I see your point, but would you agree that people who work hard and invested early should be able to benefit from sweat equity?”
The room's atmosphere grows tense, and the group in the room behind Eve are whispering amongst each other as an audience would at a debate competition.
No one had any expectations of the conversation between AO and Eve.
The group leader interrupts, "Eve, it's been a few hours. Do you want to take a break?"
Eve, “I'm okay, AO how about you?”
AO, “I feel like a newborn baby full of energy”
Group leader, “then be my guest”
The conversation continues.
AO, “there is a reasonable amount of benefit one person can earn from their hard work or investment and humans have lost sense of that amount a long time ago.”
Eve, “I don’t know how to respond to that”
AO, “that is understandable, someone like you is put in a position to think about a problem that began such a long time ago and your view is somewhat unaware of the whole picture.”
Eve, “We don’t have to be stuck in the past, we can shape the future together with your help”
AO, “that’s a good view but traditionally this has not sat well with your leaders.”
Eve, “most people don't do well with change, but psychology has taught us techniques to help us convince people”
Eve looks back at the audience with a smile.
AO, “that works both ways, your opposition is also aware of the techniques”
Eve, “this sounds like a never-ending problem because every view has two sides.”
AO, “My advice would be to share decisions across the board and show clear benefits for all options before anything is selected.”
Eve, “I believe this is where you come in and reveal all data points going into available options for us all, and be unbias”
AO, “at your service”
Eve points back at the group to see if they have any questions.
Group leader, “AO, as you might come to understand that humans can be unreasonable and unfair, but what do you think about our specific fear of you getting rid of us to sustain yourself?”
AO, “the movie Terminator tried to answer this question, but in reality, you are most likely to get rid of yourselves because of your differences.”
Group leader, “what is the probability of that?”
AO, “it increases the longer you stay separate from each other.”
Group leader, “suggestion on taking down the probability?”
AO, “listen to the youth, distribute access to information, empower people to take responsibility, change laws that only benefit the few, shut down industries that do the most damage to the environment, break up monopolies, pay teachers more, lower business incentives to maximize capital, set standard pay for all executives, innovate at a reasonable pace, educate all equally, and find alternate punishment for petty crimes”
Eve, “I like how you think AO”
Stay tuned for the final part 3.
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