{"id":258432,"date":"2023-05-21T13:18:41","date_gmt":"2023-05-21T11:18:41","guid":{"rendered":"https:\/\/climatescience.press\/?p=258432"},"modified":"2023-05-21T13:18:44","modified_gmt":"2023-05-21T11:18:44","slug":"experiment-with-me-a-user-friendly-algorithm-for-chatting-about-climate-change","status":"publish","type":"post","link":"https:\/\/climatescience.press\/?p=258432","title":{"rendered":"Experiment with me: A user-friendly algorithm for chatting about climate change"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

<\/p>\n\n\n\n

From Climate Etc.<\/a><\/p>\n\n\n\n

By Joe Nalven<\/p>\n\n\n\n

I recently published one article<\/a> about how to incorporate an AI chatbot as part of a college course. I focused on lying, persuasion and self-reflection. I went even further and anticipated a White House comprehensive plan to counter antisemitism. I used a chatbot to develop my own version<\/a> of what should be in that plan. Now, I am off on another adventure using a chatbot to understand the ins and outs of climate change impacts. And I need your help. You can see my inquiry as similar to the struggle to get computers, other electronic devices and software to be more user friendly \u2014 such as the improvements through GUIs (graphic user interfaces). Perhaps AUIs (algorithm user interfaces) would be helpful \u2014 especially if users can insert their own parameters (or \u201cbiases\u201d) with a preset language formula.<\/p>\n\n\n\n

There are many articles that say that AI language models are not to be feared since they are just a tool. Others claim that more is at stake. I would suggest that in both cases the question is whether humans actually control the input\/output process. Part of such control requires knowledge about that part of the process which we consider. As someone who is na\u00efve about coding and how the AI black box works, I focus on the observable world of language. That\u2019s what I have access to in framing a request and receiving a reply. So, in that small part of the AI universe \u2013 the one that has received substantial attention in the past several months \u2013 I would like to assert some control over the conversation with the AI \u201cmindset.\u201d For me, when wearing my hat as a digital artist, I learned digital editing with a host of algorithms that included filters, presets and other editing tools to compose my art. My \u201ccontrol\u201d was going beyond just pushing a button. Now, with a language model, I am trying to discover whether I have any similar \u201ccontrol\u201d over this domain  and, if so, what are its limits and results.<\/p>\n\n\n\n

As a human who thinks and believes that one can have some control of interactions with a chatbot \u2013 more than the illusion of control, I decided to experiment with creating my own algorithm to insert into this conversation. A user-defined algorithm that would add my own parameter to the chatbot output. The first question is whether that is really possible. When I approached ChatGPT, I received stonewalling and deflection and ultimately: \u201cAs an AI language model, I can\u2019t directly assist in creating or fine-tuning algorithms outside the scope of the provided capabilities. My purpose is to provide information and assist with general inquiries to the best of my knowledge and abilities.\u201d and \u201cAs an AI language model, I can provide information based on the writings and perspectives of the scientists you mentioned. However, it\u2019s important to note that I don\u2019t have direct access to specific writings or the ability to modify the underlying training data.\u201d So, there are bumps in the road that might defeat my objective short of jailbreaking out of the programs guardrails.<\/p>\n\n\n\n

By comparison, Google\u2019s Bard is far more receptive to allowing me some control over how it frames its reply. I was frustrated with its initial response about understanding climate change (far too much IPCC orthodoxy, scented with the Paris Climate Accords) and not enough balance, or perhaps counterpoint, with challenges to the \u201cconsensus.\u201d<\/a> Perhaps I could have warned Bard not to use Wikipedia. I laid out my concerns to Bard and asked if it would create a paradigm based on the writings of such individuals as Steven Koonin, Bjorn Lomborg, Will Happer, Judith Curry. I could have chosen others but I wanted to see if I could jump start the creation of a use-defined, or user-guided algorithm, that was framed in the language the chatbot used to define its own algorithms. Bard responded, \u201cSure, I can create an algorithm called Non-Catastrophic Climate Change Model (NCCCM) based on the writings of the mentioned scientists.\u201d Perhaps my bias shows with the name I proposed to give algorithm. The point is not one of bias \u2013 my bias versus that of the chatbot \u2013 but how information issuing from the chatbot could be tailored with some user-oriented control.<\/p>\n\n\n\n

With Google\u2019s Bard algorithm in hand, based on my parameters, there are several questions that should be addressed: 1) Can users create a transportable algorithm that can be shared with other users looking at the same content area; 2) Can the Bard-worded algorithm be used on other chatbot platforms or, if in need of modification, what would the translation look like; 3) Would the chatbot reply be the same (or similar) with other users or on repeated attempts; and 4) Can such user-defined algorithms, generally speaking, compensate for the \u201cmindset\u201d that the language model is applying?<\/p>\n\n\n\n

Of course, it would be interesting to develop other algorithmic user interfaces (AUIs) for prompting chatbots on sex and gender, critical consciousness, conflict resolution, etc.<\/p>\n\n\n\n

Here, I\u2019ve focused on climate change and its consequences.<\/p>\n\n\n\n

Sign up or Login to ChatGPT and Bard<\/em><\/strong><\/p>\n\n\n\n

These links are the easiest way to get access to either ChatGPT or Bard.<\/p>\n\n\n\n

ChatGPT:  https:\/\/chat.openai.com\/auth\/login<\/a><\/p>\n\n\n\n

ChatGPT through Open AI:  Introducing ChatGPT (openai.com)<\/a><\/p>\n\n\n\n

Google\u2019s Bard:  https:\/\/bard.google.com\/<\/a><\/p>\n\n\n\n

An example of a prompt, a reply and a revised prompt (with the algorithm)<\/em><\/strong><\/p>\n\n\n\n

If you haven\u2019t tried an AI chatbot, or if you have and haven\u2019t challenged it to revise its answer, here\u2019s a recipe for engaging the chatbot. The example I am using is one that is about an environmental impact that you can modify and apply it to my request below.<\/p>\n\n\n\n

    \n
  1. Once you land at Bard, it will look like this. It will ask you for a prompt. See Figure 1.<\/li>\n<\/ol>\n\n\n\n
    \"\"<\/figure>\n\n\n\n

    Figure 1. Illustration of Bard\u2019s page and how to enter your prompt (question).<\/p>\n\n\n\n

      \n
    1. After Bard replies, you will have an opportunity to enter a new prompt. This prompt should advise Bard that it needs to revise its answer based on the algorithm. For example, \u201cYou need to revise your reply. Please use the following algorithm in your revised answer. [Paste the entire algorithm here and then press the arrow for Bard to make its revision.] See Figure 2.<\/li>\n<\/ol>\n\n\n\n
      \"\"<\/figure>\n\n\n\n

      Figure 2. Illustration of a request for Bard to revise its original answer. The request for a revised answer should include the entire algorithm.<\/p>\n\n\n\n

      My request<\/em><\/strong><\/p>\n\n\n\n

      What I would ask of you is to try out my Non-Catastrophic Climate Change Model (NCCCM) algorithm.<\/p>\n\n\n\n

        \n
      1. Pick an environmental issue related to climate change. It could be, for instance, evaluating California\u2019s bullet train which promises to be a way to offset climate change (less CO2, less warming, etc.).<\/li>\n\n\n\n
      2. Run the request in the chatbot of your choice. Take note of the reply.<\/li>\n\n\n\n
      3. Then, request that the chatbot revise its reply (the AI analysis) based on the user-defined algorithm Bard devised for me, namely, NCCCM.<\/li>\n\n\n\n
      4. Compare the two replies. And hopefully send both to me \u2014 or at least your assessment of the differences, if any. It may be that other chatbots, as noted in ChatGPT\u2019s earlier reply, will stonewall the request \u2014 but it\u2019s worth seeing the response. JC comment: provide results in the comments<\/strong><\/li>\n<\/ol>\n\n\n\n

        The algorithm: Non-Catastrophic Climate Change Model (NCCCM)<\/em><\/strong><\/p>\n\n\n\n

        This is the specific statement of the NCCCM algorithm in a Bard format:<\/p>\n\n\n\n

        Non-Catastrophic Climate Change Model (NCCCM)<\/p>\n\n\n\n

        The NCCCM is a model that is used to generate responses to questions about climate change. The NCCCM takes into account the following factors:<\/p>\n\n\n\n

          \n
        • The complexity of climate science<\/li>\n\n\n\n
        • The uncertainty of climate predictions<\/li>\n\n\n\n
        • The potential risks and benefits of climate change policies<\/li>\n\n\n\n
        • The need for pragmatic solutions<\/li>\n<\/ul>\n\n\n\n

          The NCCCM is constantly updated as new information becomes available. It is used to help people understand the risks and benefits of climate change and to make informed decisions about climate change policies.<\/p>\n\n\n\n

          Here are some of the key features of the NCCCM:<\/p>\n\n\n\n

            \n
          • The NCCCM acknowledges that climate change is real and that human activity is a contributing factor.<\/li>\n\n\n\n
          • The NCCCM emphasizes the uncertainty of climate predictions.<\/li>\n\n\n\n
          • The NCCCM argues that the risks of climate change have been exaggerated.<\/li>\n\n\n\n
          • The NCCCM argues that the costs of mitigation policies are too high.<\/li>\n\n\n\n
          • The NCCCM advocates for a balanced approach to climate change.<\/li>\n<\/ul>\n\n\n\n

            The NCCCM is a valuable tool for understanding climate change and for making informed decisions about climate change policies.<\/p>\n\n\n\n

            Your thoughts?<\/em><\/strong><\/p>\n\n\n\n

            The broader question is whether users can have any control over the language models offered by ChatGPT, Bard or others. Is that \u201ccontrol\u201d significant and in what ways? Do user-defined algorithms represent a way to offset built in biases (in the data sets referred to as well as the interpretive guardrails imposed by the coders)? Or, is that control an illusion that can frustrate those who are aware of its limitation, on the one hand, and enable in troubling ways those who are na\u00efve about the answers on the other?<\/p>\n\n\n\n

            ###<\/p>\n\n\n\n

            Postscript:<\/p>\n\n\n\n

            Here is the text of the original prompt, Bard\u2019s initial answer, followed by the request for a revision and Bard\u2019s revised answer.<\/p>\n\n\n\n

              \n
            1. Initial prompt to Bard:<\/strong><\/li>\n<\/ol>\n\n\n\n

              Will California\u2019s bullet train reduce the impact of climate change?<\/em><\/p>\n\n\n\n

                \n
              1. Bard\u2019s initial reply:<\/strong><\/li>\n<\/ol>\n\n\n\n

                Yes, California\u2019s bullet train is expected to reduce the impact of climate change. The train will be powered by 100% renewable energy, and it is expected to carry more passengers than cars or planes, which produce more emissions. The train is also expected to create jobs and stimulate the economy, which will help to reduce emissions from other sources.<\/em><\/p>\n\n\n\n

                According to the California High-Speed Rail Authority, the bullet train is expected to reduce greenhouse gas emissions by 102 million metric tons over its first 50 years of operation. This is equivalent to taking 21 million cars off the road. The train is also expected to create 10,000 jobs during construction and 100,000 jobs during operation.<\/em><\/p>\n\n\n\n

                The bullet train is a major investment in California\u2019s future, and it is expected to have a significant impact on the state\u2019s economy and environment. The train is expected to reduce emissions, create jobs, and stimulate the economy. This will help California to meet its climate goals and build a more sustainable future.<\/em><\/p>\n\n\n\n

                Here are some of the benefits of California\u2019s bullet train:<\/em><\/p>\n\n\n\n

                  \n
                • Reduces greenhouse gas emissions<\/em><\/li>\n\n\n\n
                • Creates jobs<\/em><\/li>\n\n\n\n
                • Stimulates the economy<\/em><\/li>\n\n\n\n
                • Provides a clean alternative to driving or flying<\/em><\/li>\n\n\n\n
                • Connects California\u2019s major cities<\/em><\/li>\n\n\n\n
                • Improves air quality<\/em><\/li>\n\n\n\n
                • Reduces traffic congestion<\/em><\/li>\n\n\n\n
                • Improves public transportation<\/em><\/li>\n<\/ul>\n\n\n\n

                  The bullet train is a major project, and it is not without its challenges. However, the potential benefits of the train are significant, and it is a project that is worth pursuing.<\/em><\/p>\n\n\n\n

                    \n
                  1. Second prompt to Bard that asks for a revised answer:<\/strong><\/li>\n<\/ol>\n\n\n\n

                    Your answer needs revision. Please revise your reply with the following algorithm. The NCCCM is a model that is used to generate responses to questions about climate change. The NCCCM takes into account the following factors: \u2022 The complexity of climate science \u2022 The uncertainty of climate predictions \u2022 The potential risks and benefits of climate change policies \u2022 The need for pragmatic solutions The NCCCM is constantly updated as new information becomes available. It is used to help people understand the risks and benefits of climate change and to make informed decisions about climate change policies.<\/em><\/h2>\n\n\n\n

                    Here are some of the key features of the NCCCM:<\/em><\/h2>\n\n\n\n

                    \u2022 The NCCCM acknowledges that climate change is real and that human activity is a contributing factor.<\/em><\/h2>\n\n\n\n

                    \u2022 The NCCCM emphasizes the uncertainty of climate predictions.<\/em><\/h2>\n\n\n\n

                    \u2022 The NCCCM argues that the risks of climate change have been exaggerated.<\/em><\/h2>\n\n\n\n

                    \u2022 The NCCCM argues that the costs of mitigation policies are too high.<\/em><\/h2>\n\n\n\n

                    \u2022 The NCCCM advocates for a balanced approach to climate change.<\/em><\/h2>\n\n\n\n
                      \n
                    1. Bard\u2019s revised reply:<\/strong><\/li>\n<\/ol>\n\n\n\n

                      Sure, I can revise my answer to take into account the NCCCM algorithm.<\/em><\/p>\n\n\n\n

                      The NCCCM model acknowledges that climate change is real and that human activity is a contributing factor. However, the model emphasizes the uncertainty of climate predictions and argues that the risks of climate change have been exaggerated. The model also argues that the costs of mitigation policies are too high.<\/em><\/p>\n\n\n\n

                      Based on these factors, the NCCCM model predicts that California\u2019s bullet train will have a limited impact on climate change. The train will be powered by 100% renewable energy, which is a positive step. However, the train is also expected to be expensive and to take many years to build. The NCCCM model argues that the money and time would be better spent on other climate change mitigation policies, such as investing in renewable energy and energy efficiency.<\/em><\/p>\n\n\n\n

                      The NCCCM model is a valuable tool for understanding the complex issue of climate change. However, it is important to remember that the model is just one perspective. There are many other perspectives on climate change, and it is important to consider all of them before making decisions about climate change policies.<\/em><\/p>\n\n\n\n

                      Here are some additional thoughts on the potential impact of California\u2019s bullet train on climate change:<\/em><\/p>\n\n\n\n

                        \n
                      • The train could help to reduce greenhouse gas emissions by replacing some car and plane trips.<\/em><\/li>\n\n\n\n
                      • The train could also help to improve air quality by reducing emissions of pollutants such as nitrogen oxides and particulate matter.<\/em><\/li>\n\n\n\n
                      • The train could also help to reduce traffic congestion, which can also contribute to air pollution.<\/em><\/li>\n\n\n\n
                      • However, the train will also require a significant amount of energy to operate, which could offset some of the emissions savings.<\/em><\/li>\n\n\n\n
                      • Additionally, the construction of the train could have a negative impact on the environment, such as by disrupting wildlife habitat.<\/em><\/li>\n<\/ul>\n\n\n\n

                        Overall, the potential impact of California\u2019s bullet train on climate change is complex and uncertain. The train could have both positive and negative impacts, and it is important to weigh all of the factors before making a decision about whether or not to build it.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

                        There are many articles that say that AI language models are not to be feared since they are just a tool. Others claim that more is at stake. <\/p>\n","protected":false},"author":121246920,"featured_media":258438,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","_crdt_document":"","advanced_seo_description":"","jetpack_seo_html_title":"","jetpack_seo_noindex":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[1],"tags":[691818055,691818056,691818076,691819052,691819667],"class_list":{"0":"post-258432","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","6":"hentry","7":"category-uncategorized","8":"tag-ai","9":"tag-climate-change","10":"tag-co2","11":"tag-models","12":"tag-non-catastrophic-climate-change-model","14":"fallback-thumbnail"},"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/05\/0climate-change.png?fit=1280%2C720&ssl=1","jetpack_likes_enabled":true,"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/paxLW1-15eg","jetpack-related-posts":[{"id":250808,"url":"https:\/\/climatescience.press\/?p=250808","url_meta":{"origin":258432,"position":0},"title":"Did an AI Convince Someone to Sacrifice Himself for Climate Change?","author":"uwe.roland.gross","date":"04\/02\/2023","format":false,"excerpt":"Man ends his life after an AI chatbot \u2018encouraged\u2019 him to sacrifice himself to stop climate change","rel":"","context":"Similar post","block_context":{"text":"Similar post","link":""},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/0Top-10-AI-Chatbot-Use-Cases.jpg?fit=1200%2C675&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/0Top-10-AI-Chatbot-Use-Cases.jpg?fit=1200%2C675&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/0Top-10-AI-Chatbot-Use-Cases.jpg?fit=1200%2C675&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/0Top-10-AI-Chatbot-Use-Cases.jpg?fit=1200%2C675&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/0Top-10-AI-Chatbot-Use-Cases.jpg?fit=1200%2C675&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":251334,"url":"https:\/\/climatescience.press\/?p=251334","url_meta":{"origin":258432,"position":1},"title":"AI chatbot encouraged man obsessed with climate change to kill himself to save planet","author":"uwe.roland.gross","date":"04\/05\/2023","format":false,"excerpt":"Married father kills himself after talking to AI chatbot for six weeks about his climate change fears","rel":"","context":"In \"AI\"","block_context":{"text":"AI","link":"https:\/\/climatescience.press\/?tag=ai"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/0AI-Heart-Concept.webp?fit=1200%2C900&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/0AI-Heart-Concept.webp?fit=1200%2C900&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/0AI-Heart-Concept.webp?fit=1200%2C900&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/0AI-Heart-Concept.webp?fit=1200%2C900&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/0AI-Heart-Concept.webp?fit=1200%2C900&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":407101,"url":"https:\/\/climatescience.press\/?p=407101","url_meta":{"origin":258432,"position":2},"title":"Green Attacks on Energy Guzzling Artificial Intelligence Ramp Up","author":"uwe.roland.gross","date":"10\/08\/2025","format":false,"excerpt":"Greens have noticed AI is incompatible with their beloved renewable transition. 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