BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.3.5//EN BEGIN:VEVENT UID:156@charm-eu.eu DTSTART;TZID=Europe/Paris;VALUE=DATE:20270318 DTEND;TZID=Europe/Paris;VALUE=DATE:20270320 DTSTAMP:20261112T094747Z URL:https://charm-eu.eu/news-events/events/ai-persuasion-society-and-trust -2027-international-interdisciplinary-conference-on-generative-ai-credibil ity-markets-and-public-reasoning/ SUMMARY:AI Persuasion\, Society and Trust 2027: International Interdiscipli nary Conference on Generative AI\, Credibility\, Markets and Public Reason ing DESCRIPTION:When Artificial Intelligence Persuades: The Future of Credibili ty - Persuasion\, Society and Public Trust in the Age of Generative AI\n\n \n\nDate:\n18-19 March 2027\n\n\nVenue\nEötvös Loránd Tudományegyetem\ nTársadalomtudományi Kar\nKözgazdaságtudományi Intézet\n9700 Szombat hely\, Károlyi Gáspár tér 4.\n\n\n\nThe conference's central question is: when does AI-driven persuasion strengthen trust\, sustainable decisio ns\, and transparent markets - and when does it turn into manipulation\, g reenwashing\, or industrial-scale strategic distortion?\n\nWe welcome cont ributions from economics\, game theory\, argumentation theory\, philosophy \, marketing and PR\, communication studies\, environmental and sustainabi lity research\, law and governance\, computer science\, media studies\, so ciology\, political science\, management studies\, science and technology studies\, and related fields\, as well as practitioners working on AI\, tr ust\, sustainability communication\, responsible innovation\, public polic y\, or institutional accountability.\n\n\nApply here!\n\n\nYou can find mo re details here: MI meggyőzés\, társadalom és bizalom 2027 | Eötvös Loránd Tudományegyetem\n\nINTRODUCTIONFor a long time\, artificial intel ligence was understood as a technology that computes\, makes predictions\, and optimises processes. This picture has become inadequate. Today’s ge nerative systems no longer merely process information: they argue\, recomm end\, build narratives\, negotiate\, advertise\, and persuade. They write corporate sustainability reports and expose greenwashing in them\, they pe rsonalise political messages and consumer offers\, they simulate actors\, produce evidence\, and increasingly shape what the public believes and whe re markets move.\n\nThis marks a shift in what AI is for. As artificial in telligence becomes a persuasive and strategic actor\, the decisive questio n is no longer just what AI can do\, but whether we can trust what it says – and what becomes of credibility\, sustainability\, and public reasoni ng when persuasion itself can be produced in arbitrary quantities\, instan tly\, and at near-zero cost.\n\nThe stakes are sharpest precisely where th ese questions are least examined together. Economics analyses strategic co mmunication as “signalling” and “cheap talk” – supposedly morall y neutral. Ethics sees the same behaviour as “manipulation” – suppos edly morally loaded. Marketing and communication research study persuasion as a craft\, argumentation theory views it as the act of giving reasons\, sustainability research experiences it as the gap between green claims an d green action. Generative AI adds a reflexive twist that exists nowhere e lse: the same model can produce a persuasive sustainability claim and expo se it. No single discipline owns this problem. AI Persuasion\, Society and Trust 2027 aims to bring these conversations into one room – organised around a single tension\, not parallel tracks.\n\nThematic Axes1. AI as Pe rsuader\n\nLarge language models and the new science of machine persuasion : personalised and mass influence\, the persuasion-accuracy trade-off\, th e boundary between rational persuasion and manipulation\, and the fate of epistemic autonomy.\n\n2. AI\, Green Claims\, and Sustainability\n\nGreenw ashing and ESG communication in the generative age – where the same syst em can both produce and detect environmental claims. Green marketing\, con sumer trust\, and the credibility of sustainability signals.\n\n3. AI\, Ma rkets\, and Strategic Interaction\n\nGame-theoretic and economic perspecti ves: signalling theory and cheap talk\, AI agents in markets and on platfo rms\, incentives\, competition\, strategic communication\, and the risk of algorithmic collusion.\n\n4. AI\, Argumentation\, and Public Reasoning\n\ nComputational argumentation and argument mining\, AI as a reason-giver an d reason-evaluator\, the tension between probative force and rhetorical st yle\, what machine reasoning does to public discourse.\n\n5. AI Governance \, PR\, and Accountability\n\nThe EU AI Act and beyond\, corporate communi cation\, reputation\, and accountability\, transparency\, provenance\, and the institutional design of trustworthy AI communication.\n\n6. The Envir onmental Cost of AI\n\nGreen AI and the resource footprint of computation – energy\, water\, and carbon\, Jevons paradox and rebound effects\, whe ther efficiency can ever truly make AI sustainable.\n\n7. Open Interdiscip linary Forum\n\nWe also welcome presentations that approach AI persuasion\ , credibility\, sustainability\, trust\, or public reasoning from other di sciplinary\, methodological\, or practical perspectives. Contributions are not limited to the thematic axes above. The conference is designed as an open interdisciplinary forum for researchers and practitioners who can ill uminate how generative AI reshapes persuasion\, judgement\, institutional credibility\, markets\, democratic communication\, or sustainable action.\ n\nLanguagesThe working languages of the conference are English and Hungar ian. A parallel Hungarian-language track will also run. Abstracts may be s ubmitted in English or Hungarian.\n\nSubmissionPlease submit an anonymised abstract of 400-600 words\, indicating the relevant thematic axis or the Open Interdisciplinary Forum. All abstracts will undergo review by the in ternational programme committee. Submissions should be prepared for anonym ous review and should not include author names or institutional identifier s in the abstract document.\n\nImportant Dates\n\n\n\nEvent\nDate\n\n\n\n\ nAbstract submission deadline\n10 January 2027\n\n\nNotification of accept ance\n1 February 2027\n\n\nPresenter confirmation and registration\n15 Feb ruary 2027\n\n\nPreliminary programme\n22 February 2027\n\n\nFinal program me\n5 March 2027\n\n\nConference\n18-19 March 2027.\n\n\nFull paper submis sion for the conference volume\n31 May 2027\n\n\n\nOrganiserEötvös Lorá nd University (ELTE)\, Faculty of Social Sciences – Department of Busine ss Communication and Marketing – Dr. Zsolt Ziegler – ziegler.zsolt@se k.elte.hu\n\n\n\nDr. Zsolt Ziegler\nChair of the Conference Organizing Co mmittee\n\n\nProf. Dr. László Kovács\nCo-organizer of the Conference\n\ n\n\nFor a long time\, artificial intelligence was understood as a technol ogy that computes\, makes predictions\, and optimises processes. This pict ure has become inadequate. Today's generative systems no longer merely pro cess information: they argue\, recommend\, build narratives\, negotiate\, advertise\, and persuade. They write corporate sustainability reports and expose greenwashing in them\, they personalise political messages and cons umer offers\, they simulate actors\, produce evidence\, and increasingly s hape what the public believes and where markets move.\n\nThis marks a shif t in what AI is for. As artificial intelligence becomes a persuasive and s trategic actor\, the decisive question is no longer just what AI can do\, but whether we can trust what it says - and what becomes of credibility\, sustainability\, and public reasoning when persuasion itself can be produc ed in arbitrary quantities\, instantly\, and at near-zero cost.\n\nThe sta kes are sharpest precisely where these questions are least examined togeth er. Economics analyses strategic communication as "signalling" and "cheap talk" - supposedly morally neutral. Ethics sees the same behaviour as "man ipulation" - supposedly morally loaded. Marketing and communication resear ch study persuasion as a craft\, argumentation theory views it as the act of giving reasons\, sustainability research experiences it as the gap betw een green claims and green action. Generative AI adds a reflexive twist th at exists nowhere else: the same model can produce a persuasive sustainabi lity claim and expose it. No single discipline owns this problem. AI Persu asion\, Society and Trust 2027 aims to bring these conversations into one room - organised around a single tension\, not parallel tracks.\n\n1. AI a s Persuader\n\nLarge language models and the new science of machine persua sion: personalised and mass influence\, the persuasion-accuracy trade-off\ , the boundary between rational persuasion and manipulation\, and the fate of epistemic autonomy.\n\n2. AI\, Green Claims\, and Sustainability\n\nGr eenwashing and ESG communication in the generative age - where the same sy stem can both produce and detect environmental claims. Green marketing\, c onsumer trust\, and the credibility of sustainability signals.\n\n3. AI\, Markets\, and Strategic Interaction\n\nGame-theoretic and economic perspec tives: signalling theory and cheap talk\, AI agents in markets and on plat forms\, incentives\, competition\, strategic communication\, and the risk of algorithmic collusion.\n\n4. AI\, Argumentation\, and Public Reasoning\ n\nComputational argumentation and argument mining\, AI as a reason-giver and reason-evaluator\, the tension between probative force and rhetorical style\, what machine reasoning does to public discourse.\n\n5. AI Governan ce\, PR\, and Accountability\n\nThe EU AI Act and beyond\, corporate commu nication\, reputation\, and accountability\, transparency\, provenance\, a nd the institutional design of trustworthy AI communication.\n\n6. The Env ironmental Cost of AI\n\nGreen AI and the resource footprint of computatio n - energy\, water\, and carbon\, Jevons paradox and rebound effects\, whe ther efficiency can ever truly make AI sustainable.\n\n7. Open Interdiscip linary Forum\n\nWe also welcome presentations that approach AI persuasion\ , credibility\, sustainability\, trust\, or public reasoning from other di sciplinary\, methodological\, or practical perspectives. Contributions are not limited to the thematic axes above. The conference is designed as an open interdisciplinary forum for researchers and practitioners who can ill uminate how generative AI reshapes persuasion\, judgement\, institutional credibility\, markets\, democratic communication\, or sustainable action.\ n\nThe working languages of the conference are English and Hungarian. A pa rallel Hungarian-language track will also run. Abstracts may be submitted in English or Hungarian.\n\nPlease submit an anonymised abstract of 400-60 0 words\, indicating the relevant thematic axis or the Open Interdisciplin ary Forum. All abstracts will undergo review by the international program me committee. Submissions should be prepared for anonymous review and shou ld not include author names or institutional identifiers in the abstract d ocument.\n\n\n\nEvent\nDate\n\n\n\n\nAbstract submission deadline\n10 Janu ary 2027\n\n\nNotification of acceptance\n1 February 2027\n\n\nPresenter c onfirmation and registration\n15 February 2027\n\n\nPreliminary programme\ n22 February 2027\n\n\nFinal programme\n5 March 2027\n\n\nConference\n18-1 9 March 2027.\n\n\nFull paper submission for the conference volume\n31 May 2027\n\n\n\nEötvös Loránd University (ELTE)\, Faculty of Social Scienc es - Department of Business Communication and Marketing – Dr. Zsolt Zieg ler - ziegler.zsolt@sek.elte.hu\n\n\n\nDr. Zsolt Ziegler\nChair of the Co nference Organizing Committee\n\n\nProf. Dr. László Kovács\nCo-organiz er of the Conference\n\n\n CATEGORIES:Research END:VEVENT BEGIN:VTIMEZONE TZID:Europe/Paris X-LIC-LOCATION:Europe/Paris BEGIN:STANDARD DTSTART:20261025T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET END:STANDARD END:VTIMEZONE END:VCALENDAR