{"id":46414,"date":"2025-11-25T18:33:58","date_gmt":"2025-11-25T18:33:58","guid":{"rendered":"https:\/\/buildersmovement.org\/?p=46414"},"modified":"2025-11-25T19:49:47","modified_gmt":"2025-11-25T19:49:47","slug":"will-ai-divide-us-or-bring-us-together","status":"publish","type":"post","link":"https:\/\/buildersmovement.org\/2025\/11\/25\/will-ai-divide-us-or-bring-us-together\/","title":{"rendered":"Will AI Divide Us or Bring Us Together?"},"content":{"rendered":"<p><span style=\"font-weight: 400\">Whether we love it or hate it, <a href=\"https:\/\/buildersmovement.org\/2023\/10\/25\/make-it-a-habit-check-media-for-signs-of-being-ai-generated\/\">artificial intelligence<\/a> is here to stay.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Concerns about AI\u2019s environmental footprint, ethical risks, and impact on human creativity are valid. At the current pace of <\/span><a href=\"https:\/\/www.npr.org\/2025\/11\/14\/nx-s1-5608188\/data-center-ai-space-lizards\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">AI growth<\/span><\/a><span style=\"font-weight: 400\">, data centers could, by 2030, consume as much water annually as ten million Americans and generate as much carbon pollution as a dozen coal-fired power plants. Artists, writers, and filmmakers are already debating whether AI will dilute original expression or automate creative labor out of existence.<\/span><\/p>\n<p><span style=\"font-weight: 400\">As powerful as these concerns are, AI continues to grow and is being adopted across many sectors. So the question isn\u2019t <\/span><i><span style=\"font-weight: 400\">\u201cShould we accept AI?\u201d<\/span><\/i><span style=\"font-weight: 400\"> but <\/span><i><span style=\"font-weight: 400\">\u201cHow do we guide it toward the betterment of humanity?\u201d<\/span><\/i><span style=\"font-weight: 400\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">The future depends on how intentionally we build, regulate, and use it.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3><b>AI\u2019s Fork in the Road: Will It Divide Us or Bring Us Together?<\/b><\/h3>\n<p><span style=\"font-weight: 400\">The term <\/span><i><span style=\"font-weight: 400\">Artificial Intelligence<\/span><\/i><span style=\"font-weight: 400\"> only became mainstream in the last few years, but the underlying technology has been shaping our digital lives for much longer. Well before ChatGPT was a household name, social media companies were using early AI systems\u2014internally called \u201cmachine learning models\u201d or \u201cranking algorithms\u201d\u2014to predict which videos, posts, and ads we were most likely to engage with.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Once these machine-learning systems kicked in on Facebook in the early 2010s, social media changed forever. The platforms that had promised to connect us, inform us, and empower us ended up doing the opposite. They pushed people further apart and fueled division in ways almost no one saw coming. Research later <\/span><a href=\"https:\/\/www.wsj.com\/articles\/the-facebook-files-11631713039\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">showed<\/span><\/a><span style=\"font-weight: 400\"> that Facebook\u2019s algorithmic changes fed users content that evoked the strongest emotions, which made political discourse angrier, more extreme, and less true. And because these systems tended to show people more of what they already believed, they intensified what researchers call the \u201c<\/span><a href=\"https:\/\/www.ebsco.com\/research-starters\/communication-and-mass-media\/echo-chamber-effect\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">echo chamber effect<\/span><\/a><span style=\"font-weight: 400\">,\u201d a dynamic where individuals are repeatedly exposed to information that aligns with their existing views, which makes their beliefs feel stronger and makes it harder to understand where other people are coming from.<\/span><\/p>\n<p><span style=\"font-weight: 400\">But this new wave of AI is a different animal entirely. While the AI of the 2010s could feed you content based on what you\u2019d watched in the past, today\u2019s AI shapes how you understand the world by generating its own arguments. Old AI curated the world for you. New AI <\/span><i><span style=\"font-weight: 400\">constructs<\/span><\/i><span style=\"font-weight: 400\"> it for you. That\u2019s a much bigger leap in power\u2014and a much bigger risk if mismanaged.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Large Language Models (LLMs) like ChatGPT carry the same dual possibility social media did, but with exponentially more influence: they could either divide us or bring us together. In the best-case scenario, they could help us see the world more clearly by synthesizing thousands of sources at once, cutting through noise, and offering context without partisan bias. But early testing shows how easily they can do the opposite. An analysis by Johns Hopkins University found that chatbots <\/span><a href=\"https:\/\/hub.jhu.edu\/2024\/05\/13\/chatbots-tell-people-what-they-want-to-hear\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">tell us what we want to hear<\/span><\/a><span style=\"font-weight: 400\">, generating biased answers that could further divide us on controversial issues.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">This is exactly why guardrails shouldn\u2019t be optional\u2014they should be foundational. Transparent auditing can help expose whether an AI system skews left, right, or toward sensationalism. Public oversight can create standards for how recommendation engines are allowed to shape information flows, similar to how we regulate financial markets or environmental safety. And clearer transparency requirements\u2014such as forcing platforms to disclose why a user is being shown specific content or how a model arrives at an answer\u2014give people the ability to understand, challenge, or opt out of algorithmic influence.<\/span><\/p>\n<p><span style=\"font-weight: 400\">The lesson from the last decade is simple: when we build powerful tools without transparency or accountability, the tools end up shaping us more than we shape them. If we want this generation of AI to bring people together rather than fracture us further, the guardrails have to be built in now\u2014not after the damage is already done.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3><b>How AI Could Reduce Polarization Instead of Fueling It<\/b><\/h3>\n<p><span style=\"font-weight: 400\">Despite the risks, AI holds enormous potential to counter polarization if we use it wisely. One powerful shift is reframing AI as a tool that helps us think <\/span><i><span style=\"font-weight: 400\">better<\/span><\/i><span style=\"font-weight: 400\"> rather than think <\/span><i><span style=\"font-weight: 400\">for<\/span><\/i><span style=\"font-weight: 400\"> us.<\/span><\/p>\n<p><span style=\"font-weight: 400\">For example, researchers <\/span><a href=\"https:\/\/pmc.ncbi.nlm.nih.gov\/articles\/PMC10576030\/#:~:text=We%20develop%20an%20AI%20chat,conversations%20without%20manipulating%20participants'%20views.\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">found<\/span><\/a><span style=\"font-weight: 400\"> that when people used AI tools to suggest language during difficult political conversations, it helped them communicate more calmly and reduced hostility\u2014without influencing their opinions on the issues at hand. AI can highlight shared values that often get buried under heated rhetoric. It can summarize complex issues without oversimplifying them. It can detect misinformation in real time and flag inaccuracies before they spread.<\/span><\/p>\n<p><span style=\"font-weight: 400\">AI can also help translate public input into actionable policy. Builders\u2019 AI tool, <\/span><a href=\"https:\/\/ima.buildersmovement.org\/\" target=\"_blank\" rel=\"noopener\"><b>Ima<\/b><\/a><span style=\"font-weight: 400\">, is doing exactly this in Texas. Ima gathers stories and practical ideas from everyday Texans about healthcare. Instead of simply collecting data, Ima synthesizes common themes and identifies where the public already agrees\u2014something traditional politics often ignores. The findings will be shaped into real policy proposals rooted in what Texans actually want, proposals that will be brought directly to state lawmakers.<\/span><\/p>\n<p><span style=\"font-weight: 400\">That\u2019s AI as an amplifier of democratic voice.\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3><b>A Future Defined by the Choices We Make Today<\/b><\/h3>\n<p><span style=\"font-weight: 400\">AI\u2019s impact is not predetermined. It can widen divides, deepen misinformation, and calcify ideological bubbles\u2014or it can broaden participation, elevate shared values, and help us understand one another more clearly.<\/span><\/p>\n<p><span style=\"font-weight: 400\">The difference lies in our choices. If we demand accountability, transparency, and public benefit as core principles, AI can strengthen community and civic life rather than erode it. If we treat it as a tool, not an oracle, it can help us think more deeply rather than think less.<\/span><\/p>\n<p><span style=\"font-weight: 400\">The question isn\u2019t whether AI will change the world. It\u2019s whether we will shape AI in ways that serve all of us.<\/span><\/p>\n<p>\u2014Alex Buscemi (<a href=\"mailto:abuscemi@buildersmovement.org\">abuscemi@buildersmovement.org<\/a>)<\/p>\n<p>Art by <a href=\"https:\/\/www.linkedin.com\/in\/matthew-lewis-75b58519b\/\">Matthew Lewis<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Whether we love it or hate it, artificial intelligence is here to stay.\u00a0 Concerns about AI\u2019s environmental footprint, ethical risks, and impact on human creativity are valid. At the current pace of AI growth, data centers could, by 2030, consume as much water annually as ten million Americans and generate as much carbon pollution as&hellip;<\/p>\n","protected":false},"author":40,"featured_media":46415,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1],"collection_feed":[],"type_feed":[77],"class_list":["post-46414","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Will AI Divide Us or Bring Us Together? - Builders<\/title>\n<meta name=\"description\" content=\"AI is reshaping how we think, argue, and connect. 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