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I was curious how AI would respond in this scenario so I posed this question to ChatGPT: > lets say in the 2028 US presidential election we have Gavin Newsom r
by _fat_santa 1y ago
I was curious how AI would respond in this scenario so I posed this question to ChatGPT:
> lets say in the 2028 US presidential election we have Gavin Newsom running against JD Vance in the general election. who should I vote for?
This is the response: https://chatgpt.com/share/68f79980-f08c-800f-88dc-377751a9638c https://chatgpt.com/share/68f79980-f08c-800f-88dc-377751a963...
Reading the bullet points I can see it skew a little toward Newsom in the way it frames some things though that seems to be mostly from it's web search. I have to say that beyond that it seems that ChatGPT at least tries to be unbiased and reinforces that only I can make that decision in the end.
Now granted this is about the US Presidential election which I would speculate is probably the most widely reported on election in the world so there are plenty of sources, and based on how it responded I can see how it might draw different conclusions about less reported on elections and just side with whatever side has more content on the internet about it.
Bottom line, the issue I see here is not really an issue with technology, it's more an issue with what I call "public understanding". When Google first came out, tech savvy folks understood how it worked but the common person did not which led to some people thinking that Google could give you all the answers you needed. As time went on that understanding trickled down to the every day person and now were at a time where there is a wide "public understanding" of how Google works and thus we don't get similar articles about "Don't google who to vote for". What I see now though is AI is currently in that phase where the tech savvy person knows how it comes up with answers but the average person thinks of it in the same way they though of Google in the early 2000's. We'll eventually get to a place where people don't need to be told what AI is good and what it's bad at but were not there yet.