{"id":1131,"date":"2025-12-26T17:34:27","date_gmt":"2025-12-26T17:34:27","guid":{"rendered":"https:\/\/biconnect.psicologia.unimib.it\/?p=1131"},"modified":"2025-12-29T11:19:57","modified_gmt":"2025-12-29T11:19:57","slug":"teaching-auditing-and-regulating-ai-biconnect-at-aamas-2026","status":"publish","type":"post","link":"https:\/\/biconnect.psicologia.unimib.it\/index.php\/teaching-auditing-and-regulating-ai-biconnect-at-aamas-2026\/","title":{"rendered":"Auditing, Regulating and Interactively Teaching AI: 3 BiConnect Contributions at AAMAS 2026"},"content":{"rendered":"\n

We are pleased to announce that three papers from the BiConnect Lab<\/strong> have been accepted at AAMAS 2026<\/strong>, the International Conference on Autonomous Agents and Multi-Agent Systems\u2014one of the leading international venues shaping research on AI interaction, coordination, and decision-making in complex socio-technical environments.<\/p>\n\n\n\n

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As AI algorithms and models become increasingly powerful and embedded in everyday life, the interaction between humans and AI systems is no longer peripheral\u2014it is central<\/strong>. At BiConnect, we study how humans connect, perceive, and collaborate across Human\u2013AI ecosystems<\/strong>, and how these interactions can be taught, audited, and regulated<\/strong> to support well-being, autonomy, and responsible innovation.<\/p>\n\n\n\n

AAMAS 2026<\/strong>,<\/a> the International Conference on Autonomous Agents and Multi-Agent Systems, is one of the leading international venues shaping research on autonomous agents, multi-agent interaction, learning, and decision-making in complex human\u2013AI and socio-technical systems<\/strong>. The conference will be held in Cyprus<\/strong>, and our contributions span interactive learning for large language models, transparency in social media recommender systems, and the mitigation of problematic online behavior.<\/p>\n<\/div>\n<\/div>\n\n\n\n

Accepted papers<\/h2>\n\n\n\n
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Teaching LLMs Naturally: Pedagogical Strategies for Interactive Knowledge Acquisition<\/strong> (Full Paper)<\/em>
Sabrina Patania, Luca Annese, Cansu Koyuturk, Dimitri Ognibene<\/em><\/p>\n\n\n\n

This work advances the study of\u00a0interactive learning for large language models<\/strong>, showing that explanation-driven, mixed-initiative dialogue enables more natural and adaptable knowledge acquisition. By framing learning as a pedagogical interaction rather than passive data exposure, the study contributes to the development of\u00a0human-aligned, post-training learning paradigms<\/strong>\u00a0for AI systems with wide applications outside labs and tech companies.
\u2192\u00a0Link to OpenReview<\/a><\/em><\/p>\n\n\n\n

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Toward Recognizing Social Media Recommenders under Absent Recommendations<\/strong> (Extended Abstract)<\/em>
Sabrina Guidotti, Dimitri Ognibene, Giuseppe Vizzari, Udo Kruschwitz, Gregor Donabauer, Davide Taibi<\/em><\/p>\n\n\n\n

Social media recommender systems strongly shape collective attention while remaining largely opaque. This work formalizes the challenge of\u00a0recommender identification under missing recommendations<\/strong>\u00a0and introduces\u00a0SM-ARR-G<\/strong>, a first approach based on graph neural network and simulated infospheres. The contribution advances\u00a0algorithm auditing and transparency<\/strong>, supporting evidence-based assessment of AI influence in online social environments.
\u2192\u00a0Link to OpenReview<\/a><\/em><\/p>\n\n\n\n

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Mitigating Problematic Social Media Use through Paired Recommender Systems with Contrasting Objectives<\/strong>(Extended Abstract)<\/em>
Stefano Livella, Luca Bolis, Sabrina Patania, Matteo Papini, Dimitri Ognibene<\/em><\/p>\n\n\n\n

This study explores how recommender systems can be designed to\u00a0regulate engagement<\/strong>\u00a0rather than maximize it indiscriminately. Through simulation, we show that pairing engagement-driven and regulation-oriented modules can reduce addiction-like behaviors\u00a0while maintaining a sustainable engagement<\/strong>, pointing toward more responsible and value-aligned recommender architectures.
\u2192\u00a0Link to OpenReview<\/a><\/em><\/p>\n\n\n\n

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Across these papers, we engage with Human\u2013AI interaction not just as a societal challenge, but as a source of new algorithmic questions, models, and experimental setups. From implementing interactive learners<\/strong> to simulating recommender dynamics<\/strong>, multi-agent simulations, graph neural networks, and dual-objective formulations give us a playground where understanding AI behavior is as important as building systems\u2014and often more fun.<\/p>\n\n\n\n

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We are pleased to announce that three papers from the BiConnect Lab have been accepted at AAMAS 2026, the International Conference on Autonomous Agents and Multi-Agent Systems\u2014one of the leading international venues shaping research on AI interaction, coordination, and decision-making in complex socio-technical environments. As AI algorithms and models become increasingly powerful and embedded in everyday life, the interaction … Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":1189,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[38,39],"tags":[48,51,45,50,47,49],"class_list":["post-1131","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-events","category-publications","tag-ai","tag-ai-pedagogy","tag-auditing","tag-human-ai-interaction","tag-regulating","tag-teaching"],"acf":[],"_links":{"self":[{"href":"https:\/\/biconnect.psicologia.unimib.it\/index.php\/wp-json\/wp\/v2\/posts\/1131","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/biconnect.psicologia.unimib.it\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/biconnect.psicologia.unimib.it\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/biconnect.psicologia.unimib.it\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/biconnect.psicologia.unimib.it\/index.php\/wp-json\/wp\/v2\/comments?post=1131"}],"version-history":[{"count":30,"href":"https:\/\/biconnect.psicologia.unimib.it\/index.php\/wp-json\/wp\/v2\/posts\/1131\/revisions"}],"predecessor-version":[{"id":1202,"href":"https:\/\/biconnect.psicologia.unimib.it\/index.php\/wp-json\/wp\/v2\/posts\/1131\/revisions\/1202"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/biconnect.psicologia.unimib.it\/index.php\/wp-json\/wp\/v2\/media\/1189"}],"wp:attachment":[{"href":"https:\/\/biconnect.psicologia.unimib.it\/index.php\/wp-json\/wp\/v2\/media?parent=1131"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/biconnect.psicologia.unimib.it\/index.php\/wp-json\/wp\/v2\/categories?post=1131"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/biconnect.psicologia.unimib.it\/index.php\/wp-json\/wp\/v2\/tags?post=1131"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}