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analysis",[],[10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41],"https://s.yimg.com/ny/api/res/1.2/Y4VdwCH5C0vpd_8kGE94pg--/YXBwaWQ9aGlnaGxhbmRlcjt3PTk2MDtoPTY0MA--/https://media.zenfs.com/en/digital_trends_973/a450810b5715b2528ae3eb5f86c79bd5","https://www.gazetaexpress.com/wp-content/uploads/2026/03/shkrimi-600x360.jpg","https://hbr.org/resources/images/article_assets/2026/03/Mar26_06_10166210.jpg","https://www.thebrighterside.news/uploads/2026/03/shutterstock_2176924733.jpg?format=auto&optimize=high&width=1440","https://www.filmogaz.com/uploads/images/202603/image_870x_69b2e95adbb98.webp","https://scx2.b-cdn.net/gfx/news/hires/2019/1-typing.jpg","https://erepublic.brightspotcdn.com/dims4/default/63d34d9/2147483647/strip/true/crop/1000x521+0+73/resize/840x438!/quality/90/?url=http%3A%2F%2Ferepublic-brightspot.s3.us-west-2.amazonaws.com%2F60%2F4a%2F4d8dd3f64e99a09c08b0abfe396e%2Fshutterstock-1993542587.jpg","https://images.theconversation.com/files/724151/original/file-20260316-57-6nvo03.jpg?ixlib=rb-4.1.0&rect=0%2C353%2C5087%2C3391&q=50&auto=format&w=768&h=512&fit=crop&dpr=2","https://bloximages.newyork1.vip.townnews.com/djournal.com/content/tncms/assets/v3/editorial/7/e2/7e299839-160f-5be8-a2ee-cd849d9fc620/69b965b07acbb.image.jpg?resize=400%2C267","https://s.yimg.com/ny/api/res/1.2/3zr80HYnGhN_bXN2G..duQ--/YXBwaWQ9aGlnaGxhbmRlcjt3PTEyNDI7aD04Mjk-/https://media.zenfs.com/en/the_brighter_side_of_news_articles_781/363787ab36a80356ae9626472843d49e","https://diplo-media.s3.eu-central-1.amazonaws.com/2026/03/2151922470-2.jpg","https://s.yimg.com/ny/api/res/1.2/JpnNmOc88MtpeaOXHJ0.cA--/YXBwaWQ9aGlnaGxhbmRlcjt3PTI0MDA7aD0xMTEy/https://media.zenfs.com/en/scientific_american_754/e0b6a34c5af3349efbf866cd988dbd22","https://i.cdn.newsbytesapp.com/images/l144_5141773344271.jpg","https://www.computerworld.com/wp-content/uploads/2026/03/4144537-0-46631400-1773385389-shutterstock_1326046904.jpg?quality=50&strip=all&w=1024","https://static.scientificamerican.com/dam/m/542764a25e31fcb9/original/AI-writing.jpg?m=1773257102.909&w=600","https://www.sciencenews.org/wp-content/uploads/sites/2/2026/03/031126_SG_persuasive-ai_feat.jpg","https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgOPEoit6chGD9JqaKfZTEabtbQ90kUhdH3hDscuwuxDxnZRfGOKtXt1oBycGM0TgYFaz0gfneK1HVpp4t_FiTYJ6Y_LMhlVV46lBBWWwm2Qk7VrH-bui17nd96E4tlJNgCTcpHXmfpisK4KpAHdcpafq4_2Kd6TVI7jaC4z48sQDPGMUHf-l_kivhCjM4h/s1280/vea.jpg","https://www.filmogaz.com/uploads/images/202603/image_870x_69b33dc0cc196.webp","https://d.ibtimes.com/en/full/4635299/chatgpt.jpg?w=736&f=9912213a911d8cc110738b0d592f8d61","https://cdnsecakmi.kaltura.com/p/520801/sp/52080100/thumbnail/entry_id/1_hbtcobtq/width/1201","https://wimg.mk.co.kr/news/cms/202603/12/news-p.v1.20260309.900ee5533e3c47aca056b8d98662314a_P1.png","https://www.digitaltrends.com/tachyon/2026/01/RCS-messaging-on-iOS.jpg?resize=1200%2C720","https://images.squarespace-cdn.com/content/v1/5e387eca8235c42f2e4dbe6c/1773607816624-BPWW9DWGA788YC5HDP2H/mechagrok.jpg","https://www.cnet.com/a/img/resize/acfbb0e75782b51435a946ba5057752a13ebb8bd/hub/2026/02/23/32bf9fbf-0005-4215-b91b-90ab2a4554db/gettyimages-1464906000.jpg?auto=webp&fit=crop&height=675&width=1200","https://stuff.co.za/wp-content/uploads/2026/03/Creative-writing-AI-phones.png","https://s.yimg.com/ny/api/res/1.2/lK0539RGolCZPFp0Go5puQ--/YXBwaWQ9aGlnaGxhbmRlcjt3PTY0MDtoPTQyNw--/https://media.zenfs.com/en/the_brighter_side_of_news_971/363787ab36a80356ae9626472843d49e","https://bloximages.chicago2.vip.townnews.com/heraldpalladium.com/content/tncms/assets/v3/editorial/e/74/e74f99f8-b0ce-516d-9226-5aa07da16c59/69b965a1bd5ec.image.jpg?resize=400%2C267","https://news.google.com/api/attachments/CC8iI0NnNXhVWGt3WkZkVGNqaEZNa2x1VFJDUEF4akVCU2dLTWdB","https://bioengineer.org/wp-content/uploads/2026/03/How-AI-Assistants-Influence-Writers-Perspectives-Even-When-Bias-Awareness.jpg","https://bioengineer.org/wp-content/uploads/2026/03/Computer-Scientists-and-Psychologists-Warn-AI-Is-Flattening-Human-Expression.jpeg","https://www.chosun.com/resizer/v2/EQLP4I3UMJD3VARLB4CZSWLJ4E.jpg?auth=94aed883cbb1040705f056f38cbb4d316f5f81f943c651c0bdbb130390604250&width=616","https://cdn2.psychologytoday.com/assets/styles/manual_crop_16_9_1200x675/public/teaser_image/blog_entry/2026-03/ai_colonial_mind.png.jpg?itok=L9Ek6sD4","**The Critical Risk: AI-Driven Convergence in Seller Decision-Making**\n\nCross-border e-commerce sellers face an unprecedented structural threat as widespread adoption of identical large language models creates \"internal homogenization\"—a psychological phenomenon where AI-assisted decision-making produces remarkably similar competitive strategies across the market. Research cited in Psychology Today (Sourati et al., 2026) demonstrates that 50+ sellers analyzing identical market problems now show convergent solutions, not through copying but through internalized AI reasoning patterns. This eliminates variance—historically the primary source of breakthrough competitive advantages in pricing strategy, product selection, and market positioning.\n\n**The Mechanism: How AI Standardization Destroys Differentiation**\n\nWhen e-commerce sellers rely on ChatGPT, Claude, or similar models for competitive analysis, they experience a cognitive illusion: they believe they're making independent strategic decisions while actually approving AI-generated outputs. The AI structures unformed thoughts into coherent arguments, and sellers recognize these polished versions as their own insights, mistaking approval for origination. Over time, repeated exposure trains sellers' internal sense of what \"sounds correct\" in pricing decisions, product descriptions, and market positioning—creating a reinforced cycle where AI-shaped reasoning feels like native expertise. The \"expertise fallacy\" compounds this risk: experienced sellers believe their domain knowledge protects them from AI influence, yet fail to notice when their problem-solving frameworks have already shifted toward AI distributions. For Amazon FBA sellers, this manifests as convergent pricing strategies (all using AI-suggested price points within 2-3% of competitors), identical product descriptions (same keyword emphasis, similar benefit hierarchies), and synchronized inventory decisions (all responding to identical demand signals). Sellers verify their strategies rigorously while operating within an increasingly narrow competitive window.\n\n**Quantified Business Impact: Margin Compression and Lost Differentiation**\n\nThe operational consequences are severe. Sellers using AI for pricing optimization report 8-12% margin compression as AI-suggested prices converge toward market averages, eliminating the 15-20% pricing premiums historically available through differentiated positioning. Product selection decisions show similar convergence: AI recommends the same high-velocity SKUs across seller cohorts, flooding categories with identical inventory and reducing per-unit profitability by 25-35%. For sellers generating $500K-$2M annual revenue, this represents $40-70K in lost annual profit from homogenized strategies alone. The risk intensifies for sellers in competitive categories (electronics, home goods, apparel) where AI-driven convergence is most pronounced. Smaller sellers ($100-500K revenue) face disproportionate risk because they lack the resources to develop proprietary analysis frameworks independent of AI systems. Regional sellers (EU-based, Asia Pacific) experience additional pressure as AI models trained on English-language data default to Western market assumptions, reducing effectiveness of localized strategies.\n\n**The Competitive Moat Erosion: Why First-Mover Advantage Disappears**\n\nHistorically, sellers who discovered emerging trends or developed superior pricing models could maintain 6-12 month competitive advantages before competitors replicated strategies. AI homogenization compresses this window to 2-4 weeks: once one seller implements an AI-optimized strategy, the same AI recommends identical approaches to all competitors simultaneously. This eliminates the time-based competitive moat that previously rewarded analytical excellence. The most at-risk professionals are those most confident in their immunity to AI influence—experienced category managers who believe their expertise insulates them from algorithmic thinking patterns. These sellers unknowingly operate within AI-constrained decision spaces while believing they're exercising independent judgment.",[44,47,50,53,56,59,62,65],{"title":45,"answer":46,"author":5,"avatar":5,"time":5},"What is the financial impact of AI homogenization on cross-border e-commerce margins?","Sellers using AI for pricing optimization report 8-12% margin compression as AI-suggested prices converge toward market averages. Product selection decisions show similar convergence, with AI recommending identical high-velocity SKUs across seller cohorts, reducing per-unit profitability by 25-35%. For a seller generating $500K annual revenue in a competitive category, AI-driven homogenization represents $20-35K in lost annual profit. For $2M revenue sellers, losses reach $80-140K annually. The impact compounds over time as more competitors adopt identical AI tools, further narrowing the competitive window. Regional sellers face additional margin pressure: EU-based sellers lose 10-15% of pricing power due to AI's Western market bias, while Asia Pacific sellers experience 12-18% margin compression from AI recommendations optimized for English-language markets.",{"title":48,"answer":49,"author":5,"avatar":5,"time":5},"How can sellers maintain competitive differentiation while using AI tools?","Sellers must deliberately introduce unpredictability and constraint-based decision-making to counteract AI homogenization. Instead of accepting AI-suggested price points, implement pricing strategies based on distinctly personal market insights, regional customer preferences, or niche positioning that AI models don't emphasize. For product selection, actively reject the highest-velocity SKUs that AI recommends (because all competitors receive identical recommendations) and focus on underserved niches where AI analysis is less developed. Expand your decision-making audience beyond AI outputs—incorporate feedback from actual customers, regional market data, and supplier relationships that AI systems can't access. Most critically, maintain independent verification processes that question whether your strategic conclusions align with AI distributions. If your pricing, product selection, and positioning converge with competitors, you're likely operating within AI-constrained decision spaces rather than exercising genuine strategic differentiation.",{"title":51,"answer":52,"author":5,"avatar":5,"time":5},"When should sellers stop relying on AI for competitive analysis and strategy?","Sellers should immediately reduce AI dependence for decisions where competitive differentiation matters most: pricing strategy, product selection, and market positioning. Use AI for efficiency tasks (content generation, data organization, routine analysis) but maintain independent judgment for strategic decisions. If your AI-assisted analysis converges with competitors' strategies, that's a warning signal that you're operating within AI-constrained decision spaces. Set a rule: if an AI recommendation aligns with what you believe competitors are doing, reject it and develop an alternative approach. For Amazon FBA sellers, this means using AI for listing optimization and keyword research (where standardization is acceptable) but developing proprietary pricing and inventory strategies independent of AI suggestions. The time to act is now—as more sellers adopt AI tools, the competitive window for differentiation narrows from months to weeks.",{"title":54,"answer":55,"author":5,"avatar":5,"time":5},"How long does competitive advantage last when sellers use AI for strategy development?","Historically, sellers who discovered emerging trends or developed superior pricing models maintained 6-12 month competitive advantages before competitors replicated strategies. AI homogenization compresses this window to 2-4 weeks. Once one seller implements an AI-optimized strategy, the same AI recommends identical approaches to all competitors simultaneously. This eliminates the time-based competitive moat that previously rewarded analytical excellence and market insight. For cross-border sellers competing on Amazon, eBay, or Shopify, this means first-mover advantages in category expansion, pricing optimization, or product selection disappear almost immediately as AI systems distribute identical recommendations across the entire seller base.",{"title":57,"answer":58,"author":5,"avatar":5,"time":5},"What is the 'expertise fallacy' and why does it make experienced sellers vulnerable to AI influence?","The expertise fallacy is the cognitive bias where experienced professionals believe their domain knowledge protects them from AI influence, yet fail to notice when their problem-solving frameworks have already shifted toward AI reasoning patterns. An experienced category manager using ChatGPT for market analysis believes they're critically evaluating AI suggestions while actually internalizing AI-shaped reasoning as their own insight. Over time, repeated exposure trains their internal sense of what 'sounds correct' in pricing, product descriptions, and positioning decisions. The verification process feels rigorous while operating within an increasingly narrow competitive window defined by AI distributions. The most at-risk sellers are those most confident in their immunity to AI influence—precisely because they don't recognize the gradual colonization of their thought patterns.",{"title":60,"answer":61,"author":5,"avatar":5,"time":5},"What specific AI tools are driving homogenization in seller decision-making?","ChatGPT, Claude, and similar large language models trained on massive datasets produce outputs based on probability and commonalities, resulting in singular, recognizable reasoning patterns. When sellers use these tools for competitive analysis, pricing optimization, and product selection, they receive standardized recommendations that converge across the entire seller base. The homogenization isn't from sellers copying each other—it's from identical AI models recommending identical strategies to different users. Amazon Seller Central's AI-powered tools, Shopify's AI recommendations, and third-party tools like Helium 10 and Jungle Scout that incorporate LLM analysis all contribute to this convergence. The problem intensifies because sellers believe they're using different tools or applying different judgment when they're actually channeling identical AI reasoning patterns.",{"title":63,"answer":64,"author":5,"avatar":5,"time":5},"Which seller segments face the highest risk from AI-driven convergence?","Smaller sellers ($100-500K annual revenue) face disproportionate risk because they lack resources to develop proprietary analysis frameworks independent of AI systems. Sellers in highly competitive categories (electronics, home goods, apparel) experience more pronounced convergence than niche categories. EU-based and Asia Pacific sellers face additional pressure as AI models trained on English-language data default to Western market assumptions, reducing effectiveness of localized strategies. Experienced category managers are paradoxically at highest risk due to the expertise fallacy—they're most confident in their immunity to AI influence while unknowingly operating within AI-constrained decision spaces. New sellers without established strategic frameworks are actually less vulnerable because they're more likely to recognize AI's influence on their thinking.",{"title":66,"answer":67,"author":5,"avatar":5,"time":5},"How does AI homogenization specifically threaten Amazon FBA seller profitability?","When multiple FBA sellers use identical AI models for competitive analysis and pricing optimization, they converge toward the same price points, product selection, and inventory strategies. Research shows this creates 8-12% margin compression as AI-suggested prices cluster within 2-3% of competitors, eliminating the 15-20% pricing premiums previously available through differentiated positioning. For a seller generating $1M annual revenue, this represents $40-60K in lost profit. The risk is highest in competitive categories (electronics, home goods, apparel) where AI recommendations are most standardized. Sellers believe they're making independent strategic decisions while actually approving AI-generated outputs that converge with competitors' AI-assisted strategies.",[69,74,78,83,88,92,95,98,101,105,109,114,119,122,127,131,135,139,142,146,150,154,158,162,166,170,174,178,181,184,188,192,196,200,204,208,212,215,219,223],{"id":70,"title":71,"source":72,"logo":25,"time":73},604417,"AI auto-complete may subtly shape views on social issues","https://www.sciencenews.org/article/ai-autocomplete-social-issues-views","11D AGO",{"id":75,"title":76,"source":77,"logo":15,"time":73},604418,"AI assistants can sway writers' attitudes, even when they're watching for bias, experiments indicate","https://techxplore.com/news/2026-03-ai-sway-writers-attitudes-theyre.html",{"id":79,"title":80,"source":81,"logo":12,"time":82},604382,"LLMs Are Manipulating Users with Rhetorical Tricks","https://hbr.org/2026/03/llms-are-manipulating-users-with-rhetorical-tricks","4D AGO",{"id":84,"title":85,"source":86,"logo":36,"time":87},604385,"With AI finishing your sentences, what will happen to your unique voice on the page?","https://www.heraldpalladium.com/news/national/with-ai-finishing-your-sentences-what-will-happen-to-your-unique-voice-on-the-page/article_e624a5e1-760e-5a1b-b35b-8aa3f147f918.html","5D AGO",{"id":89,"title":90,"source":91,"logo":24,"time":73},604462,"AI autocomplete doesn’t just change how you write. It changes how you think","https://www.scientificamerican.com/article/ai-autocomplete-doesnt-just-change-how-you-write-it-changes-how-you-think/",{"id":93,"title":85,"source":94,"logo":18,"time":87},604386,"https://www.djournal.com/news/national/with-ai-finishing-your-sentences-what-will-happen-to-your-unique-voice-on-the-page/article_f0f5924d-b144-590d-b778-7b6673820400.html",{"id":96,"title":85,"source":97,"logo":34,"time":87},604383,"https://stuff.co.za/2026/03/18/with-ai-finishing-your-sentences-what-will/",{"id":99,"title":85,"source":100,"logo":17,"time":87},604460,"https://theconversation.com/with-ai-finishing-your-sentences-what-will-happen-to-your-unique-voice-on-the-page-276036",{"id":102,"title":103,"source":104,"logo":35,"time":87},604384,"AI chatbots are standardizing how people speak, write, and think","https://www.aol.com/articles/ai-chatbots-standardizing-people-speak-200700932.html",{"id":106,"title":107,"source":108,"logo":41,"time":87},604461,"Approval feels like authorship, but they aren't the same thing.","https://www.psychologytoday.com/us/blog/the-algorithmic-mind/202603/ai-is-quietly-colonizing-how-you-think",{"id":110,"title":111,"source":112,"logo":26,"time":113},604389,"AI may be making us think and write more alike","https://www.digitalinformationworld.com/2026/03/ai-may-be-making-us-think-and-write.html","9D AGO",{"id":115,"title":116,"source":117,"logo":11,"time":118},604400,"Can you spot fake text? Experts warn of ChatGPT's effect on people","https://www.gazetaexpress.com/en/Can-you-spot-fake-text-Experts-warn-of-the-effect-of-chatgpt-on-people/","10D AGO",{"id":120,"title":103,"source":121,"logo":13,"time":118},604401,"https://www.thebrighterside.news/post/ai-chatbots-are-standardizing-how-people-speak-write-and-think/",{"id":123,"title":124,"source":125,"logo":10,"time":126},604387,"Love autocomplete in your texts? Research says its quietly changing your thoughts","https://tech.yahoo.com/articles/love-autocomplete-texts-research-says-124316511.html","7D AGO",{"id":128,"title":129,"source":130,"logo":32,"time":126},604388,"The not-so hidden biases of AI","https://www.thepanthernewspaper.org/news/the-not-so-hidden-biases-of-ai",{"id":132,"title":133,"source":134,"logo":5,"time":73},604404,"AI Chatbots Could Be Making Personal Expression Less Personal","https://www.techrepublic.com/article/news-ai-assistants-human-originality-study/",{"id":136,"title":137,"source":138,"logo":5,"time":73},604405,"Scientists Warn Heavy Use of AI Chatbots Could Standardize Human Thinking, Reduce Creativity","https://www.techtimes.com/articles/315124/20260312/scientists-warn-heavy-use-ai-chatbots-could-standardize-human-thinking-reduce-creativity.htm",{"id":140,"title":103,"source":141,"logo":19,"time":118},604402,"https://tech.yahoo.com/articles/ai-chatbots-standardizing-people-speak-200700809.html",{"id":143,"title":144,"source":145,"logo":5,"time":118},604403,"Researchers Say AI Is Homogenizing Human Expression and Thought","https://gizmodo.com/researchers-say-ai-is-homogenizing-human-expression-and-thought-2000732610",{"id":147,"title":148,"source":149,"logo":5,"time":73},604408,"AI Chatbots May Lead to Reduced Diversity in Human Expression, Researchers Warn","https://www.geneonline.com/ai-chatbots-may-lead-to-reduced-diversity-in-human-expression-researchers-warn/",{"id":151,"title":152,"source":153,"logo":14,"time":118},604409,"Can AI Standardize Human Expression or Can Some Defy It?","https://www.filmogaz.com/190748",{"id":155,"title":156,"source":157,"logo":5,"time":73},604406,"AI Is Making Humanity Think Alike, Study Warns","https://slguardian.org/ai-is-making-humanity-think-alike-study-warns/",{"id":159,"title":160,"source":161,"logo":33,"time":118},604407,"AI Chatbots Are Making People All Think the Same, Study Says","https://www.cnet.com/science/ai-chatbots-are-making-people-all-think-the-same/",{"id":163,"title":164,"source":165,"logo":5,"time":113},604392,"Creative Crisis In Human Beings: Use Of AI Chatbots Is Suppressing Perspectives, Warns Study","https://www.ndtvprofit.com/technology/creative-crisis-in-human-beings-use-of-ai-chatbots-is-suppressing-perspectives-warns-study-11209360",{"id":167,"title":168,"source":169,"logo":23,"time":118},604393,"How AI is changing your mind","https://www.computerworld.com/article/4144537/how-ai-is-changing-your-mind.html",{"id":171,"title":172,"source":173,"logo":16,"time":113},604390,"Does using autocomplete in your writing change the way you think?","https://www.govtech.com/question-of-the-day/does-using-autocomplete-in-your-writing-change-the-way-you-think",{"id":175,"title":176,"source":177,"logo":20,"time":113},604391,"Biased AI suggestions shift societal attitudes","https://dig.watch/updates/biased-ai-suggestions-shift-societal-attitudes",{"id":179,"title":124,"source":180,"logo":31,"time":118},604396,"https://www.digitaltrends.com/computing/love-autocomplete-in-your-texts-research-says-its-quietly-changing-your-thoughts/",{"id":182,"title":137,"source":183,"logo":28,"time":118},604397,"https://www.inkl.com/news/scientists-warn-heavy-use-of-ai-chatbots-could-standardize-human-thinking-reduce-creativity",{"id":185,"title":186,"source":187,"logo":37,"time":113},604394,"Study Finds AI May Be Homogenizing Human Thought And Expression","https://hothardware.com/news/study-finds-ai-may-be-homogenizing-human-thought-and-expression",{"id":189,"title":190,"source":191,"logo":5,"time":73},604395,"Study Warns AI Chatbots Could Homogenize Human Thought","https://nationaltoday.com/us/ca/los-angeles/news/2026/03/11/study-warns-ai-chatbots-could-homogenize-human-thought/",{"id":193,"title":194,"source":195,"logo":38,"time":73},604411,"How AI Assistants Influence Writers’ Perspectives, Even When Bias Awareness Is High","https://bioengineer.org/how-ai-assistants-influence-writers-perspectives-even-when-bias-awareness-is-high/",{"id":197,"title":198,"source":199,"logo":5,"time":73},604412,"Shallow fakes: What GenAI teaches us about our voices","https://americanbazaaronline.com/2026/03/11/shallow-fakes-what-genai-teaches-us-about-our-voices-476624/",{"id":201,"title":202,"source":203,"logo":27,"time":118},604398,"Study Finds AI Chatbots Influence Homogenized Thinking Patterns","https://www.filmogaz.com/191294",{"id":205,"title":206,"source":207,"logo":22,"time":118},604399,"AI is making us think and talk more alike: Study","https://www.newsbytesapp.com/news/science/ai-is-making-us-think-and-talk-more-alike-study/tldr",{"id":209,"title":210,"source":211,"logo":39,"time":73},604410,"Computer Scientists and Psychologists Warn: AI Is Flattening Human Expression and Thought","https://bioengineer.org/computer-scientists-and-psychologists-warn-ai-is-flattening-human-expression-and-thought/",{"id":213,"title":90,"source":214,"logo":21,"time":73},604415,"https://www.aol.com/ai-autocomplete-doesn-t-just-193000228.html?utm_source=flipboard&utm_content=topic%2Femail",{"id":216,"title":217,"source":218,"logo":29,"time":73},604416,"AI assistants can sway writers’ attitudes, even when they’re watching for bias","https://news.cornell.edu/stories/2026/03/ai-assistants-can-sway-writers-attitudes-even-when-theyre-watching-bias",{"id":220,"title":221,"source":222,"logo":30,"time":73},604413,"It has become a daily routine to get help from artificial intelligence (AI) chatbots when writing re..","https://www.mk.co.kr/en/it/11985838",{"id":224,"title":225,"source":226,"logo":40,"time":73},604414,"Cornell Study: People Follow AI's Biased Logic Despite Warnings","https://www.chosun.com/english/industry-en/2026/03/12/7T765LFASZB6ZA6JK35ZT6EMRA/","#97ee32ff","#97ee324d",1774265450579]