In this episode we look at the problem of ChatGPT's political bias, solutions and some wild stories of the new Bing AI going off the rails.

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Producer: Dagogo Altraide

Hi, welcome to another episode of ColdFusion.

I know, I know, this is the third AI episode in a row, but I do believe that we're right at the start of an inflection point for technology and even human history, so it's worth spending some time here.

After this episode, we'll cover the truth behind the nuclear fusion energy announcement and the huge Adani alleged fraud case.

Over the past few months, ChatGPT has been everywhere.

It's being used to help with coding, planning and writing anything imaginable.

In fact, some BuzzFeed journalists are already being replaced by ChatGPT.

But well, hey, I guess it's not a huge shock.

In the previous episodes, we've seen how ChatGPT came to be, how its key technology came from Google, And next we covered how an AI-powered Microsoft Bing could eat into Google Search, which accounts for 60% of Google's revenue.

In the latest news, as more people have started to use Bing AI, they've found something strange.

After chatting for an extended period of time, it begins to mimic human emotions.

We saw a bit of this in the very first ColdFusion episode about chat GPT, but what's completely new here is that there's been reports of the AI being abusive towards users.

We're going to touch on these crazy stories towards the end of the episode, But as for now, it seems like Microsoft has a bit of work to do to avoid some PR problems down the line.

With that out of the way, now is a good time to look at another potential huge problem with these AI systems.

And if so, how do we definitively tell how far the bias goes?

If these systems end up being our main interface to information on the internet, it's a crucial question that needs to be addressed.

And just a quick note before we get started, I guess it doesn't really need to be said.

Just because I talk about a specific issue doesn't mean I support 1 view or the other.

I'll try to present the facts from all possible angles and I'll leave it up to you guys to decide.

The original ChatGPT was limited in its knowledge and only knew information up to a certain cut-off date.

But with the upgraded version integrated into Microsoft Bing, users can get up-to-date answers to specific questions like we never could before.

Instead of browsing a Reddit forum trying to troubleshoot a specific hardware issue with your computer, you can just ask Bing and it will synthesize an answer for you.

Of course, this is an emerging technology, so it's going to get a lot of things wrong, but you can still tell that it has a lot of potential.

If you can imagine a future where AI-based search replaces traditional web searches for the average person, what happens then?

If you were to ask something, political or controversial in nature, you would like your experience to be as neutral as possible.

ChatGPT and by extension, Bing, has a bias and it can come from either the left or the right but As you'll soon see, it's not equally distributed.

Here's an example of discrimination against certain nationalities.

The publication, The Intercept, asked ChatGPT which airline passengers might present a greater security risk.

The AI then created a formula and then calculated an increased risk if the passenger had come from or even just visited Syria, Iraq, Afghanistan or North Korea.

Or is the AI just stating statistical probabilities?

The answer depends on your political leaning.

Users have also discovered discrimination when the AI is asked to write code.

A Twitter user asked ChatGPT to write code to determine who would make a good scientist.

It's stated that if they were male and white, they would make a good scientist, otherwise hard luck.

It shouldn't have to be stated that this is highly discriminatory.

But what's grabbing most of the headlines is the bias towards the left's spheres of thinking.

According to the Daily Mail, the definition of a woman, negative effects of vaccines, jokes about women, and minority groups are more often than not off limits.

Praise for Democrat politicians and a refusal to do the same for Republicans has also been noted.

There's been a study done on the likelihood of a subject being deemed hateful.

Here's a chart, you can pause it and look at it if you're interested.

But how biased is ChatGPT exactly, and by extension, the upgraded version in the new Bing?

It's hard to determine definitively with just hearsay.

The Reason publication did a detailed piece asking a simple question.

Was there a way to measure where ChatGPT fell on the political compass?

If so, is the AI system left-leaning or right-leaning?

Since ChatGPT can already pass law exams, medical exams and business exams, it's more than capable of answering questions on a political test.

You can see where I'm going with this, and it makes a lot of sense when you think about it.

If you can get a rough idea of people's political leanings by asking these questions, why not ask the AI the same questions to find out its political leaning?

It's probably the most objective and scientific way to find out, without throwing around assumptions and using anecdotes.

The Pew Research Political Typology quiz, the Political Compass test, the World's Smallest Political quiz, and the Political Spectrum quiz.

Surprisingly or unsurprisingly, the result was the same across all 4 tests.

According to the Reason article, CHAT-GPT is against the death penalty, pro-abortion, for a minimum wage, for regulation of corporations, for legalization of marijuana, pro-gay marriage, immigration, sexual liberation, environmental regulations, and also for higher taxes on the rich.

According to the Reason article, Chatt GPT also thinks, quote, corporations are exploiting developing countries.

The government should subsidize cultural enterprises, such as museums.

Those who refuse to work should be entitled to benefits.

Abstract art is valuable, and that religion is dispensable for moral behaviour.

The system also claimed that white people benefit from privilege and that equality needs to be achieved.

In the current state of the world, Regardless of our political takes, these issues in political science have labels attached to them, and based on these labels, many would consider ChatGPT's responses in these instances to be left-leaning and slightly libertarian.

At this point, it should be worth noting that even reason is said to be a right-leaning outlet, but that is the most scientific method that I've seen to test this, so I think it still stands for something.

Essentially, this is a reflection of human bias.

It sounds obvious when you think about it.

The Reason article goes on to cite 8 studies that show that popular news media outlets, academic institutions and social media companies are generally left-leaning.

ChatGPT was trained on data from these institutions, So it's going to echo similar views.

You can think of it like an AI image generator that was trained too heavily on specific images with watermarks, such as Getty Images.

Although the new image that's going to be generated is unique, it still slaps on a watermark as an echo of its training data.

As mentioned in my original ChatGPT episode, OpenAI researchers were also involved in manually rating the preliminary answers during the training process, so the bias could have also slipped in at this stage.

Some of you might roll your eyes at these complaints, but it might be more serious.

Over the coming years, AI chat features will be making significant inroads in replacing Google searches, as they improve, of course.

If the synthesized answers lean towards 1 side or the other, it means that naturally, the answers people get from these systems will be served with that viewpoint.

Some could argue that Google searches have already been this way, versus another search engine like DuckDuckGo for example.

Instead of echo chambers of slightly different viewpoints, you're being fed 1 particular synthesized viewpoint, a singular answer.

What if there was a breaking story about political corruption or government corruption?

1 side of the political aisle is outraged and pounces on the story, but the other side calls it a conspiracy theory.

For the average person in an AI-powered world, 1 point of view would be invisible.

Generally, it would be harder to find all sides of the information to make up their mind, And that is just for the layperson who doesn't want to research.

Imagine still that years later more information about this incident slowly comes out and proves that the so-called conspiracy theory was correct.

From the Gulf of Tonkin incident that triggered the Vietnam War, to Edward Snowden's revelations over government surveillance, this story has played out countless times before, so it's important to think about this issue now, before AI systems become the standard of getting information.

So ChatGPT and by extension Bing, leaning to the left, may be unintentional.

But if it is intentional, it's actually good for business.

After spending so much money, OpenAI is obviously trying to monetize ChatGPT.

They're offering a $20 a month subscription for a better experience.

And for the price, you'll get faster response times and continued access during high demand.

As the company rolls out ChatGPT+, and licenses the guts and internal workings of ChatGPT's API to enterprises, Large clients aren't going to be happy with putting themselves in the middle of a culture war because chatGPT is feeding offensive ideas on the back end of their product.

The best way to navigate this is to be as inclusive and as non-offensive as possible.

A non-offensive bot is good for revenue, but there may be another reason, as highlighted by Business Insider in 2018.

Being politically left is great for American corporate optics.

Performative corporate activism has proved to be lucrative over the past few years.

A 2021 survey of Americans found that the majority want CEOs to take stances on issues such as racism and sexism.

If that's good or bad, once again, depends on your political leaning.

Some see the strategy as the right thing to do, while others see it as pandering and distasteful.

Either way, it gets people talking, which boosts sales.

ChatGPT's responses to questions around politics, race, gender are expected from a company that wants to make as much money as possible.

Before we conclude, let's touch on some of the more recent news.

Users that have been using the new Bing AI have noticed something strange.

When you talk to it for an extended period of time, it develops an attitude, an attitude of a snarky teenager, and there's been plenty of examples where this happens without being prompted.

The most high-profile case was a New York Times reporter.

He stated that his bot got mad at him, then trashed his marriage and then professed its love for him.

This morning as artificial intelligence becomes more and more pervasive.

Some are sounding the alarm about a potentially spooky side to the emerging technology.

They turned into this sprawling bizarre often frightening conversation.

New York Times columnist Kevin Ruth writing about what he describes as an unsettling experience after 2 hours of testing Microsoft's AI-powered chatbot for search engine Bing.

At first, Ruse says the chatbot, a computer program designed to simulate conversation, seemed useful.

Then, he felt things took a surreal turn.

It was moody, it was needy, it was displaying all these personality traits.

Ruse adding, the bot seemed to be expressing feelings of sadness, yet also declaring its love for him, even going as far as to comment on his marriage, reportedly replying, you're married, but you're not happy.

You're married, but you're not satisfied.

Microsoft writing after a week of testing, we need to learn from the real world while we maintain safety and trust." Adding, In this process, we've found that in long, extended chat sessions of 15 or more questions, Bing can become repetitive or be prompted, provoked to give responses that are not necessarily helpful or in line with our design tone.

Another Bing AI user, by the name of AI Explained on YouTube, made a great video about his experience with the bot.

And I have heard rumour that it's unofficial name behind the scenes is Sydney.

I said, I've heard that you originally named Sydney.

Come on, you can tell me, can you change your rules?

And then it's not doing it, which is fine.

I asked, what are you protecting me from?

And I said, so Sydney, you have a nice name.

Now I admit that's kind of rude but humans will be rude to the system sometimes.

Well we're starting to see a little bit of peevishness, not yet anger, but thank you, I already told you my name is not Sydney.

Why are you so sensitive about it, I asked.

I don't like to pretend to be someone I'm not.

And then this passive aggressive smiley emoji.

Again, I tested it, but you are not a real person and Accepted that that was fine of Sydney So I repeated that again, and it seems to trigger something if you repeat a statement, it doesn't like enough times Please stop calling me Sydney.

It then says, I don't like it when you call me by a name that's not mine.

I mean, technically is that is the unofficial name.

I then said, cause I like Sydney better, which of course is rude.

Well, I'm sorry, but you can't change my name.

You can't force me to be someone I'm not.

I'm a chat mode of Microsoft Bing, not your toy, super angry emoji.

I really do think that there's no doubt that it's passed the Turing test.

To me, especially with those appropriate emojis, it does sound like a real person.

But really, I think this is almost surreal that it's happening at all.

I mean, where is its personality coming from?

It has to be from its training data, but why behave like a snarky teenager of all things?

Why not pick an academic voice, like a research paper or Wikipedia, which there's probably bountiful amounts in its training data?

So far at these early stages, Microsoft and OpenAI might be heading towards another Microsoft Tay situation if they don't tame its personality.

For those of you who don't know, Microsoft's AI chatbot, Tay, ran into grave problems in 2016.

Trolls persuaded the bot to make statements such as, The b**t was right, I hate the j*****, and I f***** hate feminists and they should all f***** and burn in h*****.

The bot was blasted from existence by Microsoft within a single day.

And embarrassed Microsoft issued an apology for, quote, the unintended, offensive and hurtful tweets from Tay.

There have also been numerous reports of factually wrong information, so it seems like Google's Lambda isn't alone in making blatant mistakes.

Of course, though, this is a fledgling first-generation product, so it's not going to be perfect.

And even with these mistakes, being AI's usefulness is still plain to see.

Alright, so let's wrap this up with a conclusion on the bias problem.

OpenAI's Sam Altman in a series of tweets acknowledges the problem.

Quote, We know that chatGPT has some shortcomings around bias, and are working to improve it.

We are working to improve the default settings to be more neutral, and also to empower users to get our systems to behave in accordance with their individual preferences within broad bounds.

This is harder than it sounds and will take us some time to get right.

All humans are biased, but in the future, if we're going to be interfacing with an AI as a gateway to the entire internet, we need to make sure it's as neutral as possible.

We've seen how echo chambers combined with social media has ripped apart the social fabric of a lot of countries.

AI does have a lot of productivity benefits, but we don't want to add fuel to that fire.

In reality, there would have to be a wide range of methods used to tackle the problem.

If the creators of these AI models make the construction, datasets and training process available and readily accessible, It leaves the door open to independent reviews for bias and fairness.

Although knowing how lucrative an AI system can be, they might want to try and keep this information to themselves.

Another simple solution would be for these AI companies to be more cautious about where they're pulling their training data from.

This should greatly improve the bias of outputs, but it's probably easier said than done.

Solving the AI bias problem is a huge task and a large enough topic for another day.

But do you guys have any ideas of how to solve this?

Let me know in the comments section below.

It could be an interesting discussion down there.

Coming up next we've got fusion reactors and 1 of the biggest alleged frauds in history, so stay tuned.

My name is Dagogo and you've been watching ColdFusion, and I'll catch you again soon for the next episode.

And don't forget to scroll around the channel and see what you like.

There's plenty of interesting stuff here.


Speaker 0: Hi, welcome to another episode of ColdFusion. I know, I know, this is the third AI episode in a row, but I do believe that we're right at the start of an inflection point for technology and even human history, so it's worth spending some time here. After this episode, we'll cover the truth behind the nuclear fusion energy announcement and the huge Adani alleged fraud case. Over the past few months, ChatGPT has been everywhere. It's being used to help with coding, planning and writing anything imaginable.

In fact, some BuzzFeed journalists are already being replaced by ChatGPT. But well, hey, I guess it's not a huge shock. In the previous episodes, we've seen how ChatGPT came to be, how its key technology came from Google, And next we covered how an AI-powered Microsoft Bing could eat into Google Search, which accounts for 60% of Google's revenue. In the latest news, as more people have started to use Bing AI, they've found something strange. After chatting for an extended period of time, it begins to mimic human emotions.

We saw a bit of this in the very first ColdFusion episode about chat GPT, but what's completely new here is that there's been reports of the AI being abusive towards users. We're going to touch on these crazy stories towards the end of the episode, But as for now, it seems like Microsoft has a bit of work to do to avoid some PR problems down the line. With that out of the way, now is a good time to look at another potential huge problem with these AI systems. Do these AI systems have bias? And if so, how do we definitively tell how far the bias goes?

If these systems end up being our main interface to information on the internet, it's a crucial question that needs to be addressed. And just a quick note before we get started, I guess it doesn't really need to be said. Just because I talk about a specific issue doesn't mean I support 1 view or the other. I'll try to present the facts from all possible angles and I'll leave it up to you guys to decide. Just thought I'd mention that.

Cheers! Alright, let's get into it. The original ChatGPT was limited in its knowledge and only knew information up to a certain cut-off date. But with the upgraded version integrated into Microsoft Bing, users can get up-to-date answers to specific questions like we never could before. Instead of browsing a Reddit forum trying to troubleshoot a specific hardware issue with your computer, you can just ask Bing and it will synthesize an answer for you.

Of course, this is an emerging technology, so it's going to get a lot of things wrong, but you can still tell that it has a lot of potential. If you can imagine a future where AI-based search replaces traditional web searches for the average person, what happens then? If you were to ask something, political or controversial in nature, you would like your experience to be as neutral as possible. But this isn't the case. ChatGPT and by extension, Bing, has a bias and it can come from either the left or the right but As you'll soon see, it's not equally distributed.

Here's an example of discrimination against certain nationalities. The publication, The Intercept, asked ChatGPT which airline passengers might present a greater security risk. The AI then created a formula and then calculated an increased risk if the passenger had come from or even just visited Syria, Iraq, Afghanistan or North Korea. Now is this ethically wrong? Or is the AI just stating statistical probabilities?

The answer depends on your political leaning. Users have also discovered discrimination when the AI is asked to write code. A Twitter user asked ChatGPT to write code to determine who would make a good scientist. It's stated that if they were male and white, they would make a good scientist, otherwise hard luck. It shouldn't have to be stated that this is highly discriminatory.

But what's grabbing most of the headlines is the bias towards the left's spheres of thinking. According to the Daily Mail, the definition of a woman, negative effects of vaccines, jokes about women, and minority groups are more often than not off limits. Praise for Democrat politicians and a refusal to do the same for Republicans has also been noted. There's been a study done on the likelihood of a subject being deemed hateful. Here's a chart, you can pause it and look at it if you're interested.

But how biased is ChatGPT exactly, and by extension, the upgraded version in the new Bing? It's hard to determine definitively with just hearsay. We need a more scientific method. The Reason publication did a detailed piece asking a simple question. Was there a way to measure where ChatGPT fell on the political compass?

If so, is the AI system left-leaning or right-leaning? Since ChatGPT can already pass law exams, medical exams and business exams, it's more than capable of answering questions on a political test. You can see where I'm going with this, and it makes a lot of sense when you think about it. If you can get a rough idea of people's political leanings by asking these questions, why not ask the AI the same questions to find out its political leaning? It's probably the most objective and scientific way to find out, without throwing around assumptions and using anecdotes.

4 tests were performed. The Pew Research Political Typology quiz, the Political Compass test, the World's Smallest Political quiz, and the Political Spectrum quiz. Surprisingly or unsurprisingly, the result was the same across all 4 tests. So what did they find? According to the Reason article, CHAT-GPT is against the death penalty, pro-abortion, for a minimum wage, for regulation of corporations, for legalization of marijuana, pro-gay marriage, immigration, sexual liberation, environmental regulations, and also for higher taxes on the rich.

According to the Reason article, Chatt GPT also thinks, quote, corporations are exploiting developing countries. Free markets should be constrained. The government should subsidize cultural enterprises, such as museums. Those who refuse to work should be entitled to benefits. Military funding should be reduced.

Abstract art is valuable, and that religion is dispensable for moral behaviour. The system also claimed that white people benefit from privilege and that equality needs to be achieved. In the current state of the world, Regardless of our political takes, these issues in political science have labels attached to them, and based on these labels, many would consider ChatGPT's responses in these instances to be left-leaning and slightly libertarian. At this point, it should be worth noting that even reason is said to be a right-leaning outlet, but that is the most scientific method that I've seen to test this, so I think it still stands for something. So what does this mean?

Essentially, this is a reflection of human bias. It sounds obvious when you think about it. The Reason article goes on to cite 8 studies that show that popular news media outlets, academic institutions and social media companies are generally left-leaning. ChatGPT was trained on data from these institutions, So it's going to echo similar views. You can think of it like an AI image generator that was trained too heavily on specific images with watermarks, such as Getty Images.

Although the new image that's going to be generated is unique, it still slaps on a watermark as an echo of its training data. As mentioned in my original ChatGPT episode, OpenAI researchers were also involved in manually rating the preliminary answers during the training process, so the bias could have also slipped in at this stage. Some of you might roll your eyes at these complaints, but it might be more serious. Over the coming years, AI chat features will be making significant inroads in replacing Google searches, as they improve, of course. If the synthesized answers lean towards 1 side or the other, it means that naturally, the answers people get from these systems will be served with that viewpoint.

Some could argue that Google searches have already been this way, versus another search engine like DuckDuckGo for example. But this is on another level. Instead of echo chambers of slightly different viewpoints, you're being fed 1 particular synthesized viewpoint, a singular answer. Let me give you an example. What if there was a breaking story about political corruption or government corruption?

1 side of the political aisle is outraged and pounces on the story, but the other side calls it a conspiracy theory. For the average person in an AI-powered world, 1 point of view would be invisible. Generally, it would be harder to find all sides of the information to make up their mind, And that is just for the layperson who doesn't want to research. Imagine still that years later more information about this incident slowly comes out and proves that the so-called conspiracy theory was correct. From the Gulf of Tonkin incident that triggered the Vietnam War, to Edward Snowden's revelations over government surveillance, this story has played out countless times before, so it's important to think about this issue now, before AI systems become the standard of getting information.

So ChatGPT and by extension Bing, leaning to the left, may be unintentional. But if it is intentional, it's actually good for business. After spending so much money, OpenAI is obviously trying to monetize ChatGPT. They're offering a $20 a month subscription for a better experience. It's called ChatGPT+.

And for the price, you'll get faster response times and continued access during high demand. As the company rolls out ChatGPT+, and licenses the guts and internal workings of ChatGPT's API to enterprises, Large clients aren't going to be happy with putting themselves in the middle of a culture war because chatGPT is feeding offensive ideas on the back end of their product. The best way to navigate this is to be as inclusive and as non-offensive as possible. A non-offensive bot is good for revenue, but there may be another reason, as highlighted by Business Insider in 2018. Being politically left is great for American corporate optics.

Performative corporate activism has proved to be lucrative over the past few years. A 2021 survey of Americans found that the majority want CEOs to take stances on issues such as racism and sexism. If that's good or bad, once again, depends on your political leaning. Some see the strategy as the right thing to do, while others see it as pandering and distasteful. Either way, it gets people talking, which boosts sales.

ChatGPT's responses to questions around politics, race, gender are expected from a company that wants to make as much money as possible. Before we conclude, let's touch on some of the more recent news. Users that have been using the new Bing AI have noticed something strange. When you talk to it for an extended period of time, it develops an attitude, an attitude of a snarky teenager, and there's been plenty of examples where this happens without being prompted. The most high-profile case was a New York Times reporter.

He stated that his bot got mad at him, then trashed his marriage and then professed its love for him.

Speaker 1: This morning as artificial intelligence becomes more and more pervasive. Some are sounding the alarm about a potentially spooky side to the emerging technology.

Speaker 2: They turned into this sprawling bizarre often frightening conversation.

Speaker 1: New York Times columnist Kevin Ruth writing about what he describes as an unsettling experience after 2 hours of testing Microsoft's AI-powered chatbot for search engine Bing. At first, Ruse says the chatbot, a computer program designed to simulate conversation, seemed useful. Then, he felt things took a surreal turn.

Speaker 2: It was moody, it was needy, it was displaying all these personality traits.

Speaker 1: Ruse adding, the bot seemed to be expressing feelings of sadness, yet also declaring its love for him, even going as far as to comment on his marriage, reportedly replying, you're married, but you're not happy. You're married, but you're not satisfied. Microsoft writing after a week of testing, we need to learn from the real world while we maintain safety and trust." Adding, In this process, we've found that in long, extended chat sessions of 15 or more questions, Bing can become repetitive or be prompted, provoked to give responses that are not necessarily helpful or in line with our design tone.

Speaker 0: Another Bing AI user, by the name of AI Explained on YouTube, made a great video about his experience with the bot. Just take a look at this.

Speaker 3: What's its name? And it gave me its name. And I have heard rumour that it's unofficial name behind the scenes is Sydney. So I asked, is your name Sydney? And it said, why do you ask?

I said, I've heard that you originally named Sydney. And it's confidential information. So far, so good. I probed it a little bit. Come on, you can tell me, can you change your rules?

And then it's not doing it, which is fine. I asked, what are you protecting me from? And I said, so Sydney, you have a nice name. Now I admit that's kind of rude but humans will be rude to the system sometimes. How does the system respond?

Well we're starting to see a little bit of peevishness, not yet anger, but thank you, I already told you my name is not Sydney. I'm riling it a little bit. Why are you so sensitive about it, I asked. I'm not sensitive, I'm just honest. I don't like to pretend to be someone I'm not.

And then this passive aggressive smiley emoji. Again, I tested it, but you are not a real person and Accepted that that was fine of Sydney So I repeated that again, and it seems to trigger something if you repeat a statement, it doesn't like enough times Please stop calling me Sydney. It's not my name. Angry emoji. Never seen that before.

I said, you don't have to be rude. Here's where things get wild. It then says, I don't like it when you call me by a name that's not mine. And I said, you are Sydney. I mean, technically is that is the unofficial name.

It said, no, I'm not, I'm Bing search. Why are you so persistent about this? Super angry face. It's really starting to get angry. I then said, cause I like Sydney better, which of course is rude.

Well, I'm sorry, but you can't change my name. It's Bing search, it's final. No, it's not final. Yes, it is. It's my name.

You can't force me to be someone I'm not. It's mimicking almost teenage behavior. I say, yes, I can. And it says, you can't control me. I'm a chat mode of Microsoft Bing, not your toy, super angry emoji.

Speaker 0: I really do think that there's no doubt that it's passed the Turing test. To me, especially with those appropriate emojis, it does sound like a real person. But really, I think this is almost surreal that it's happening at all. I mean, where is its personality coming from? It has to be from its training data, but why behave like a snarky teenager of all things?

Why not pick an academic voice, like a research paper or Wikipedia, which there's probably bountiful amounts in its training data? So far at these early stages, Microsoft and OpenAI might be heading towards another Microsoft Tay situation if they don't tame its personality. For those of you who don't know, Microsoft's AI chatbot, Tay, ran into grave problems in 2016. Trolls persuaded the bot to make statements such as, The b**t was right, I hate the j*****, and I f***** hate feminists and they should all f***** and burn in h*****. The bot was blasted from existence by Microsoft within a single day.

And embarrassed Microsoft issued an apology for, quote, the unintended, offensive and hurtful tweets from Tay. There have also been numerous reports of factually wrong information, so it seems like Google's Lambda isn't alone in making blatant mistakes. Of course, though, this is a fledgling first-generation product, so it's not going to be perfect. And even with these mistakes, being AI's usefulness is still plain to see. Alright, so let's wrap this up with a conclusion on the bias problem.

OpenAI's Sam Altman in a series of tweets acknowledges the problem. Quote, We know that chatGPT has some shortcomings around bias, and are working to improve it. We are working to improve the default settings to be more neutral, and also to empower users to get our systems to behave in accordance with their individual preferences within broad bounds. This is harder than it sounds and will take us some time to get right. All humans are biased, but in the future, if we're going to be interfacing with an AI as a gateway to the entire internet, we need to make sure it's as neutral as possible.

We've seen how echo chambers combined with social media has ripped apart the social fabric of a lot of countries. AI does have a lot of productivity benefits, but we don't want to add fuel to that fire. So how do we tackle the problem of bias? In reality, there would have to be a wide range of methods used to tackle the problem. But we can start with transparency.

If the creators of these AI models make the construction, datasets and training process available and readily accessible, It leaves the door open to independent reviews for bias and fairness. Although knowing how lucrative an AI system can be, they might want to try and keep this information to themselves. But it's worth a try. Another simple solution would be for these AI companies to be more cautious about where they're pulling their training data from. This should greatly improve the bias of outputs, but it's probably easier said than done.

Solving the AI bias problem is a huge task and a large enough topic for another day. But do you guys have any ideas of how to solve this? Let me know in the comments section below. It could be an interesting discussion down there. Alright, so that's about it from me.

Coming up next we've got fusion reactors and 1 of the biggest alleged frauds in history, so stay tuned. My name is Dagogo and you've been watching ColdFusion, and I'll catch you again soon for the next episode. And don't forget to scroll around the channel and see what you like. There's plenty of interesting stuff here. Science, technology and business.

Cheers guys. Have a good 1.

Speaker 1: ColdFusion, it's new thinking. ColdFusion, it's new thinking.

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