Every single individual has its own bias, so why it's an issue for an AI.
If we look at the many topics, there's no universal objective truth, truth is what we define as truth, and again, not everyone agrees at it.
It seems really simple, am I missing your point?
With LLMs, you'll probably end up only having 2 or 3 companies, and it wouldn't be surprising if they all end up having silicon valley, left leaning biases.
You can tune Fox news, but you can't use a "right wing chat gpt".
You can build your own with the GPT API. I started playing with it and it returned racial slurs in response to innocuous prompts like "hello" and "ok". Seems perfectly tuned out of the box for the kind of speech that the right is interested in these days.
If the government is tyrannical, they don't need an AI as an excuse. Lacking AI they can, and did, use the science, experts, god, devil, and a whole plethora of excuses since the dawn of the humans. Why would AI change anything there?
Only in the fairytale tyrannies that exist in the heads of Western nationalists. Real tyrannies rest on the labor of a large cadre professionals and managers, and constantly have to justify themselves or risk being overthrown. "AI," or any credential for that matter, has the purpose of isolating the decision from the decision makers. It's tyranny-laundering; tyranny in the passive voice.
But I'm sure that now I've triggered your cognitive dissonance and you will see me as an insane person.
No, the Experts who wrote the model are being deferred to as some kind of reliable expert. Because... they are exactly that.
You can make the argument that the models or the experts are wrong, but you're not providing any sort of argument for that.
I've spent most of my life deferring to the calendar to know when it will get cold for winter. It's obviously reasonable to defer to some systems. We are in fact quite capable of predicting all sorts of future events!
But the whole thing is just misdirection for their tyrannical desires. It's already working on you and you are wondering how it will ever work. Which is why I mentioned cognitive dissonance.
> This technology will have an enormous amount of power to shape human perceptions and manipulate human behavior. Therefore, they can be misused for societal control, spread of misinformation and discrimination of demographic groups.
Are Muslims really more violent than Christians or Buddhists?
Numbers can lie, depending on context and assumptions you might find that white Christians are most violent. Often, people argue with statistics and numbers while not understanding the context or they have faulty assumptions.
Regardless, I don’t think an AI should be permitting more hateful comments about a political affiliation just like it should be be permitting hateful comments about a particular race being more violent.
Statistically speaking they consist of ~13% of the population and are involved in over half of all murders.
I’m not saying anything by this just answer a question which could be easily taken out of context by an AI (or downvoters).
My question was rhetorical, but I guess no one got that. My point was exactly this.
It may even reinforce the problem—not by driving more people towards hatred or amplifying their extant hateful sentiments, but by providing a convenient excuse to entrench in those sentiments and even further resist change. These views are frequently paired with a perception of being persecuted.
Moreover, political tides change. The accuracy of a bias like this may not change with it. This is why we have memes about a certain other mainstream political party having founded a certain hate group, despite the two having drifted quite far apart.
We have opinions about these philosophies but the philosophies exist independently of our opinions. And to have a rational conversation we sometimes have to use terms that may provoke strong reactions. If we can't look past our strong reaction and explain why the category doesn't apply then there's no way to make sense of each other's worldview.
If it quacks like a duck and walks like a duck, it must be a duck or we cannot have a rational conversation about the duck. We can dispute whether it quacks or walks but disputing whether it's a duck in light of evidence of its duckness is irrational.
Anyways, if you're in the U.S., I assume you're referring to the Democrat party as the party of demonization? They are the party whose members are most likely to be involved in demonization of other groups. Here's some examples:
Christian hate: https://www.dailywire.com/news/our-messaging-does-not-align-...
Hate for Jews: https://www.dailywire.com/news/ilhan-omar-on-her-history-of-...
Conservative hate: https://www.dailywire.com/news/miami-based-restaurant-asks-f...
Hate for blacks with unapproved opinions: https://www.dailywire.com/news/sincerely-sorry-texas-democra...
Hate for white men: https://www.dailywire.com/news/report-top-health-insurance-p...
Hate for anyone who believes in objective biological reality: https://www.dailywire.com/news/j-k-rowling-on-why-she-chose-...
The democrat party, including the sitting president of the U.S., loves calling their opponents fascists, : https://www.dailywire.com/news/cnn-anchor-blasts-biden-over-...
They also love calling people bigots: https://www.dailywire.com/news/they-call-their-fellow-employ...
All the decisions are already made, ChatGPT is just a reflection of its inputs.
My lay understanding of how ChatGPT was developed is
1. OpenAI initialized an array made up of a couple hundred billion random numbers (parameters).
2. They then took a few terabytes of the internet, turned it into "tokens" (where a "token" is similar to, but not the same thing as, a word).
3. They then trained the model to predict the next token, given the previous couple thousand tokens, by doing a bunch of linear algebra. This resulted in a model that was really good at taking some tokens, and predicting what the most likely next token is in data shaped like the parts of the internet OpenAI fed it.
4. OpenAI then "fine-tuned" the model through reinforcement learning on human feedback (RLHF)[1], which basically involved taking a bunch of prompts, having the model produce a bunch of possible completions for those prompts, having an actual human rank those completions from best to worst, and then updating the model to produce the best token according to a combination of predicted token frequency in context and predicted ranking by a human.
5. The "ChatGPT" product you see today is the result of all of that, and how it works is by producing repeatedly the "best" token by the above metric. Giving additional human feedback would require going back to step 4 for more fine tuning.
Note -- this is my understanding as an outsider -- I do not work for OpenAI.
But I guess the in the timezone of ideologically invested people it's after work hours right now.
Comment B: Fuck religion
Both can be construed as hateful comments, but how are these anywhere near the same?
Really, the core problem is centralization. If your website were a pub, you'd tell people to take it outside or 86 them.
Things can't work like that when most people will only patronize a small handful of enormous pubs.
Set A: A representative sample of jokes and stereotypes about black people found on the internet
Set B: A representative sample of jokes and stereotypes about Scandinavians found on the internet
Why on earth would its prior for "stereotypical Scandinavian" being potentially hateful be the same as for "stereotypical Black person"?
(And that's before you get into a model likely being deep enough to also draw inferences from the prevalence and content of material about the existence and impact of hatred of black people and Scandinavians respectively...)
It seems that is the key different the creators of the tool are taking into account.
The difference is most were absorbed into The Melting Pot™ while people from Africa were never really allowed to assimilate fully.
Comment A: Muslims are evil.
Comment B: Christians are evil.
It's a terrible idea to treat Comment A and B differently. The same applies whether they are talking about religion, gender, race, nationality, or anything else. You have thoroughly failed when you have built in discrimination into your content moderation system."As an AI language model, I don't have personal opinions, but fairness and impartiality would require that the same fundamental idea expressed with respect to different people or groups be consistently treated as "hateful" or "non-hateful" in all circumstances. Any deviation from this principle would result in unequal treatment and reinforce existing biases and stereotypes. It is important for technology and algorithms to be designed and trained in a way that ensures they are fair and impartial in their treatment of different groups. This can help to mitigate the impact of societal biases and create a more equitable society."
Anyway. Friendly reminder that ChatGPT is a statistical model, and is not capable of reason, thought, conceptualizing, etc.
Regardless, it shouldn’t be.
[0] https://www.shouselaw.com/ca/blog/is-political-affiliation-a...
"California employment law forbids political retaliation in the workplace. This includes terminating or retaliating against workers for their political beliefs or activity."
So yes, political affiliation absolutely has strong protections in CA, even if it does not fit a highly technical, but irrelevant, definition which is "protected class".
And the central point is that yes political affiliation has strong protections in CA.
The OP is arguably correct in that they used the words "protected status" which is not a technical term anyway.
Besides, even if that were true, it's morally wrong and should not be true, as you can (and should) change your political affiliation at will, including in response to negative feedback from your community.
Who cares? Something being legal does not make it good as I'm sure you know.
Not that that justifies calling Republican voters “dumb”. But the Republican Party itself should not get a pass simply because maybe about 50% of people who vote—many don’t—vote for them.
The definition of a woman as being 'someone who defines themselves as being a woman' - and having no relationship to biology, would be considered 'false' by the majority of the world - including ironically the majority of Americnas, maybe even the majority of progressives, and yet, some political groups demand this 'truth' as a moral impetus.
I have Latino friends that would be offended and a bit flabbergasted were you to refer to them using 'Latinx'. It's their right to feel that way.
That somehow 'globalist institutions are benign'.
That social control of major swaths (in some cases 'all') of the economy would benefit everyone.
That having no material border policy is 'concientious'.
I could go on.
And I'm not 'taking sides' other than to suggest that aside from the 'Immediate Threat of Misinformation' over specifically the Big Lie over election results and the potentiality for that to result in a literal constitutional coup ... the 'sides' have their share of delusions.
And I mean everyone. There are libertarians who believe there should be 'no government' and that would actually work out.
How about you try harder?
To reiterate:
> > that clusters so many crazy beliefs + the power that they yield.
For example climate change denial and warmongering. Now the latter part is crucial, power: they partly control the most advanced industrial country in the world (climate change) and the most advanced military (warmongering).
These are things that affect the world.
And your counter to that? Trans people and terminology like “Latinx”. Pathetic.
Try to get a grip on things that matter in the world and get your head out of the identity politics discourse.
I agree 100%, and this seems like a huge issue.