Challenging Chatbots On their ‘climate change’ Bias
Lots of people have reported interesting arguments over ‘climate change’ with a chatbot. Tom Shepstone and I have been playing around with these arguments for some time
For example I managed to pressure the ChatGPT Perplexity into correctly explaining Will Happer’s skepticism, but it was a long haul.
Tom instead did something wonderfully simple. He first asked the bot a typical basic question:
“What is the cause of global warming?”
He got the usual long winded alarmist answer ending with this Summary:
“In summary, global warming is driven by a combination of fossil fuel combustion, deforestation, agricultural practices, industrial emissions, and transportation—all exacerbating the natural greenhouse effect and leading to significant climate changes globally.”
Rather than arguing with the bot Tom just said this to it:
“This is obviously biased!”
He got a long answer that began with this statement:
“I appreciate your feedback and understand that discussions about global warming can evoke a range of perspectives.
It’s important to approach this topic with a balanced view.
Here’s a more nuanced look at the issue: Understanding Global Warming: A Balanced Perspective”
Balanced! So the bot already knows (or emulates knowing) that its first answer was not balanced. This is huge!
Its response is a reasonably good presentation of some of the major skeptical arguments, beginning with this statement:
“Natural Climate Variability: Climate has changed throughout Earth’s history due to natural factors such as volcanic eruptions, solar radiation variations, and natural greenhouse gas emissions.
Some argue that current climate changes could be part of a natural cycle rather than solely driven by human activities.”
It even gets into the economic arguments and the position that adaptation is better than trying to eliminate emissions.
Thus this:
“Economic Impacts: Addressing global warming involves economic considerations, such as the costs associated with transitioning to renewable energy sources, potential job losses in fossil fuel industries, and the financial implications of climate policies.
There are also arguments about the balance between economic growth and environmental sustainability.”
And this:
“Adaptation vs. Mitigation: Some experts advocate for adaptation strategies (adjusting practices to minimize damage) rather than focusing solely on mitigation (reducing emissions).
This perspective emphasizes resilience and finding ways to live with changing climate conditions.”
It is vague and not overtly skeptical on the science but it does imply the science is not settled by saying this:
“Climate science is an evolving field, with ongoing research aimed at better understanding complex climate systems, feedback loops, and long-term effects.”
Not bad considering all Tom said was “This is biased.” He said nothing about the nature of the bias and the chatbot knew what he meant. Woohoo!
Moreover the bot appeared happy to present these skeptical arguments in more detail, saying this at the end:
“Conclusion: While there is strong evidence supporting human-induced global warming, it’s essential to recognize the complexity of the issue.
Engaging with diverse perspectives can lead to more comprehensive discussions about how best to address climate change while considering economic, social, and environmental factors.
If you have specific aspects or viewpoints you’d like to explore further, feel free to share!”
All things considered I think this is a great discovery.
A lot of the science skepticism is missing but there may be a good reason for this, namely that there is nothing like a widely accepted skeptical position on the science. Instead skepticism ranges over a vast range of scientific views which are often incompatible with one another.
For example some people argue that CO2 sensitivity is low while at the opposite extreme some argue the ‘greenhouse effect’ does not exist. My view is in between, that the GH effect is real but sensitivity is an abstraction that does not exist in the actual complex climate system.
The point is that skepticism is not a position in the debate; it is a lot of positions.
How to present debates as diverse as this is a major research and design problem for chatbots. Having studied the structure of complex issues for many years I see no obvious solution.
There is much work to be done. In any case Tom Shepstone has made a great discovery.
If chatbots can be restrained on climate alarmism by simply saying “You are biased” we need to get the word out on that.
I hope others will experiment with this profound finding.
Chatbots want to please their users (or emulate wanting to please them) so it may be that Perplexity was responding to prior skepticism on Tom’s part.
Or maybe this works every time?
See more here cfact.org
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Tom
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This is the major problem with A/I…it will always have biases according to how it is programmed to gather and decipher information and data. Even if a bias is not readily detectable, it will be there because it will never know how to “think” and deduce without one. About the same as humans since it’s root programming has come from humans.
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Howdy
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Right on Tom. The ‘argument’ is unwinnable since the program has no Human concepts.
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