{"id":92482,"date":"2025-06-09T16:54:02","date_gmt":"2025-06-09T20:54:02","guid":{"rendered":"https:\/\/aaai.org\/?post_type=conference&#038;p=92482"},"modified":"2025-07-18T10:14:28","modified_gmt":"2025-07-18T14:14:28","slug":"aisi-call","status":"publish","type":"conference","link":"https:\/\/aaai.org\/conference\/aaai\/aaai-26\/aisi-call\/","title":{"rendered":"Call for the Special Track on AI for Social Impact"},"content":{"rendered":"\n<div class=\"wp-block-genesis-blocks-gb-columns gb-slate-section-hero-title gpb-slate-section-hero-title gb-layout-columns-1 one-column gb-has-background-dim gb-has-background-dim-20 has-brand-color-2-background-color gb-has-custom-text-color alignfull\" style=\"color:#f5f5f5;background-position:48% 72%\"><div class=\"gb-layout-column-wrap gb-block-layout-column-gap-1 gb-is-responsive-column\">\n<div class=\"wp-block-genesis-blocks-gb-column gb-block-layout-column\"><div class=\"gb-block-layout-column-inner\">\n<div class=\"wp-block-genesis-blocks-gb-columns gb-layout-columns-2 gb-2-col-wideleft\"><div class=\"gb-layout-column-wrap gb-block-layout-column-gap-0 gb-is-responsive-column\">\n<div class=\"wp-block-genesis-blocks-gb-column gb-block-layout-column gb-is-vertically-aligned-top\"><div class=\"gb-block-layout-column-inner\">\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-genesis-blocks-gb-columns gb-layout-columns-2 gb-2-col-wideright\" style=\"padding-right:1em;padding-left:1em\"><div class=\"gb-layout-column-wrap gb-block-layout-column-gap-1 gb-is-responsive-column\">\n<div class=\"wp-block-genesis-blocks-gb-column gb-block-layout-column\"><div class=\"gb-block-layout-column-inner\"><div class=\"wp-block-image hide-on-mobile\">\n<figure class=\"alignright size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1930\" height=\"1200\" src=\"https:\/\/aaai.org\/wp-content\/uploads\/2025\/01\/AAAI-26_Mark-Inverse.png\" alt=\"\" class=\"wp-image-91338\" style=\"object-fit:cover;width:137px;height:auto\" srcset=\"https:\/\/aaai.org\/wp-content\/uploads\/2025\/01\/AAAI-26_Mark-Inverse.png 1930w, https:\/\/aaai.org\/wp-content\/uploads\/2025\/01\/AAAI-26_Mark-Inverse-300x187.png 300w, https:\/\/aaai.org\/wp-content\/uploads\/2025\/01\/AAAI-26_Mark-Inverse-1024x637.png 1024w, https:\/\/aaai.org\/wp-content\/uploads\/2025\/01\/AAAI-26_Mark-Inverse-768x478.png 768w, https:\/\/aaai.org\/wp-content\/uploads\/2025\/01\/AAAI-26_Mark-Inverse-1536x955.png 1536w\" sizes=\"auto, (max-width: 1930px) 100vw, 1930px\" \/><\/figure><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-genesis-blocks-gb-column gb-block-layout-column\"><div class=\"gb-block-layout-column-inner\">\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h1 class=\"wp-block-heading no-rule has-brand-color-7-color has-text-color\">The 40th Annual AAAI Conference on Artificial Intelligence<\/h1>\n\n\n\n<p class=\"date-time has-brand-color-7-color has-text-color\">January 20 <em>&#8211; <\/em>January 27, 2026 | Singapore <\/p>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-genesis-blocks-gb-column gb-block-layout-column\"><div class=\"gb-block-layout-column-inner\">\n<div class=\"wp-block-cover alignfull\" style=\"min-height:300px;aspect-ratio:unset;\"><img loading=\"lazy\" decoding=\"async\" width=\"2373\" height=\"1988\" class=\"wp-block-cover__image-background wp-image-91452\" alt=\"\" src=\"https:\/\/aaai.org\/wp-content\/uploads\/2025\/01\/iStock-491056644-60dpi.jpg\" style=\"object-position:69% 35%\" data-object-fit=\"cover\" data-object-position=\"69% 35%\" srcset=\"https:\/\/aaai.org\/wp-content\/uploads\/2025\/01\/iStock-491056644-60dpi.jpg 2373w, https:\/\/aaai.org\/wp-content\/uploads\/2025\/01\/iStock-491056644-60dpi-300x251.jpg 300w, https:\/\/aaai.org\/wp-content\/uploads\/2025\/01\/iStock-491056644-60dpi-1024x858.jpg 1024w, https:\/\/aaai.org\/wp-content\/uploads\/2025\/01\/iStock-491056644-60dpi-768x643.jpg 768w, https:\/\/aaai.org\/wp-content\/uploads\/2025\/01\/iStock-491056644-60dpi-1536x1287.jpg 1536w, https:\/\/aaai.org\/wp-content\/uploads\/2025\/01\/iStock-491056644-60dpi-2048x1716.jpg 2048w\" sizes=\"auto, (max-width: 2373px) 100vw, 2373px\" \/><span aria-hidden=\"true\" class=\"wp-block-cover__background has-background-dim-100 has-background-dim wp-block-cover__gradient-background has-background-gradient\" style=\"background:linear-gradient(90deg,rgb(0,57,115) 2%,rgba(155,81,224,0) 67%)\"><\/span><div class=\"wp-block-cover__inner-container is-layout-flow wp-block-cover-is-layout-flow\">\n<div class=\"wp-block-columns alignwide is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:55%\"><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><\/div>\n<\/div>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n<div class=\"menu-conference-aaai-26-container\"><ul id=\"menu-conference-aaai-26\" class=\"conference-menu\"><li id=\"menu-item-91342\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-91342\"><a href=\"https:\/\/aaai.org\/conference\/aaai\/aaai-26\/\">AAAI-26<\/a><\/li>\n<li id=\"menu-item-92782\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-item-92782\"><a href=\"#\">Attend<\/a>\n<ul class=\"sub-menu\">\n\t<li id=\"menu-item-92783\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-92783\"><a href=\"https:\/\/aaai.org\/conference\/aaai\/aaai-26\/registration\/\">Registration Information<\/a><\/li>\n\t<li id=\"menu-item-92789\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-92789\"><a href=\"https:\/\/aaai.org\/conference\/aaai\/aaai-26\/program-overview\/\">Program Overview<\/a><\/li>\n\t<li id=\"menu-item-92804\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-92804\"><a href=\"https:\/\/aaai.org\/wp-content\/uploads\/2025\/07\/AAAI-Proceedings-Submission-Chart.pdf\">Ways to Participate in AAAI-26<\/a><\/li>\n<\/ul>\n<\/li>\n<li id=\"menu-item-92540\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-item-92540\"><a href=\"#\">Calls<\/a>\n<ul class=\"sub-menu\">\n\t<li id=\"menu-item-92701\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-92701\"><a href=\"https:\/\/aaai.org\/conference\/aaai\/aaai-26\/main-technical-track-call\/\">Main Technical Track<\/a><\/li>\n\t<li id=\"menu-item-92732\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-92732\"><a href=\"https:\/\/aaai.org\/conference\/aaai\/aaai-26\/aia-call\/\">Special Track on AI Alignment<\/a><\/li>\n\t<li id=\"menu-item-92702\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-92702\"><a href=\"https:\/\/aaai.org\/conference\/aaai\/aaai-26\/aisi-call\/\">Special Track on AI for Social Impact<\/a><\/li>\n\t<li id=\"menu-item-92817\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-92817\"><a href=\"https:\/\/aaai.org\/conference\/aaai\/aaai-26\/bridge-program-call\/\">Bridge Program<\/a><\/li>\n\t<li id=\"menu-item-92864\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-92864\"><a href=\"https:\/\/aaai.org\/conference\/aaai\/aaai-26\/community-activities-call\/\">Community Activities<\/a><\/li>\n\t<li id=\"menu-item-92598\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-92598\"><a href=\"https:\/\/aaai.org\/conference\/aaai\/aaai-26\/demonstration-call\/\">Demonstration Program<\/a><\/li>\n\t<li id=\"menu-item-92541\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-92541\"><a href=\"https:\/\/aaai.org\/conference\/aaai\/aaai-26\/eaai-26-call\/\">EAAI-26<\/a><\/li>\n\t<li id=\"menu-item-92838\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-92838\"><a href=\"https:\/\/aaai.org\/conference\/aaai\/aaai-26\/eta-call\/\">Emerging Trends in AI Track<\/a><\/li>\n\t<li id=\"menu-item-92592\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-92592\"><a href=\"https:\/\/aaai.org\/conference\/aaai\/aaai-26\/iaai-26-call\/\">IAAI-26<\/a><\/li>\n\t<li id=\"menu-item-92819\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-92819\"><a href=\"https:\/\/aaai.org\/conference\/aaai\/aaai-26\/journal-track-call\/\">Journal Track<\/a><\/li>\n\t<li id=\"menu-item-92731\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-92731\"><a href=\"https:\/\/aaai.org\/conference\/aaai\/aaai-26\/nfh-call\/\">New Faculty Highlights<\/a><\/li>\n\t<li id=\"menu-item-92711\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-92711\"><a href=\"https:\/\/aaai.org\/conference\/aaai\/aaai-26\/senior-member-call\/\">Senior Member Presentation Track<\/a><\/li>\n\t<li id=\"menu-item-92820\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-92820\"><a href=\"https:\/\/aaai.org\/conference\/aaai\/aaai-26\/student-abstract-and-poster-program-call\/\">Student Abstract and Poster Program<\/a><\/li>\n\t<li id=\"menu-item-92631\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-92631\"><a href=\"https:\/\/aaai.org\/conference\/aaai\/aaai-26\/tutorial-and-lab-forum-call\/\">Tutorial and Lab Forum<\/a><\/li>\n\t<li id=\"menu-item-92798\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-92798\"><a href=\"https:\/\/aaai.org\/conference\/aaai\/aaai-26\/uc-call\/\">Undergraduate Consortium<\/a><\/li>\n\t<li id=\"menu-item-92584\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-92584\"><a href=\"https:\/\/aaai.org\/conference\/aaai\/aaai-26\/workshops-call\/\">Workshops<\/a><\/li>\n<\/ul>\n<\/li>\n<li id=\"menu-item-92616\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-item-92616\"><a href=\"#\">Sponsors<\/a>\n<ul class=\"sub-menu\">\n\t<li id=\"menu-item-92719\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-92719\"><a href=\"https:\/\/aaai.org\/conference\/aaai\/aaai-26\/sponsors\/\">AAAI-26 Sponsors<\/a><\/li>\n\t<li id=\"menu-item-92617\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-92617\"><a href=\"https:\/\/aaai.org\/conference\/aaai\/aaai-26\/become-a-sponsor\/\">Become a Sponsor<\/a><\/li>\n<\/ul>\n<\/li>\n<li id=\"menu-item-92845\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-item-92845\"><a href=\"#\">Policies and Guidelines<\/a>\n<ul class=\"sub-menu\">\n\t<li id=\"menu-item-92846\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-92846\"><a href=\"https:\/\/aaai.org\/aaai-conferences-and-symposia\/aaai-code-of-conduct-for-conferences-and-events\/\">AAAI Code of Conduct for Conferences and Events<\/a><\/li>\n\t<li id=\"menu-item-92849\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-92849\"><a href=\"https:\/\/aaai.org\/conference\/aaai\/aaai-26\/ethical-guidelines-for-aaai-26-reviewers\/\">Ethical Guidelines for AAAI-26 Reviewers<\/a><\/li>\n\t<li id=\"menu-item-92850\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-92850\"><a href=\"https:\/\/aaai.org\/conference\/aaai\/aaai-26\/policies-for-aaai-26-authors\/\">Policies for AAAI-26 Authors<\/a><\/li>\n\t<li id=\"menu-item-92848\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-92848\"><a href=\"https:\/\/aaai.org\/publications_ethics_and_malpractice_statement-july-2024\/\">Publication Ethics and and Malpractice Statement<\/a><\/li>\n<\/ul>\n<\/li>\n<li id=\"menu-item-92468\" class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-92468\"><a href=\"https:\/\/aaai.org\/conference\/aaai\/aaai-26\/conference-organizers\/\">Conference Organizers<\/a><\/li>\n<\/ul><\/div>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-genesis-blocks-gb-columns gb-layout-columns-2 gb-2-col-wideright has-brand-color-7-background-color has-brand-color-6-color alignwide\" style=\"padding-top:2em;padding-bottom:4em\"><div class=\"gb-layout-column-wrap gb-block-layout-column-gap-5 gb-is-responsive-column\" style=\"max-width:1280px\">\n<div class=\"wp-block-genesis-blocks-gb-column gb-block-layout-column\"><div class=\"gb-block-layout-column-inner\">\n<div class=\"wp-block-buttons alignfull is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-16018d1d wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button has-custom-width wp-block-button__width-100 is-style-outline is-style-outline--1\"><a class=\"wp-block-button__link has-brand-color-7-color has-brand-color-2-background-color has-text-color has-background has-normal-font-size has-custom-font-size wp-element-button\" href=\"https:\/\/aaai.org\/authorkit26-1\/\" style=\"border-radius:100px\">AAAI-26 Author Kit<\/a><\/div>\n<\/div>\n\n\n\n<div style=\"height:15px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><strong>Main Conference Timetable for Authors<\/strong><\/p>\n\n\n\n<p><em>Note: all deadlines are \u201canywhere on earth\u201d (UTC-12)<\/em><\/p>\n\n\n\n<p><strong>June 16, 2025<\/strong><br>Open Review submission site opens for author registration<\/p>\n\n\n\n<p><strong>June 25, 2025<\/strong><br>Open Review submission site opens for paper submission<\/p>\n\n\n\n<p><strong>July 25, 2025<br><\/strong>Abstracts due at 11:59 PM UTC-12<\/p>\n\n\n\n<p><strong>August 1, 2025<\/strong><br>Full papers due at 11:59 PM UTC-12<\/p>\n\n\n\n<p><strong>August 4, 2025<br><\/strong>Supplementary material and code due by 11:59 PM UTC-12<\/p>\n\n\n\n<p><strong>September 8, 2025<br><\/strong>Notification of Phase 1 rejections<\/p>\n\n\n\n<p><strong>October 2-8, 2025<br><\/strong>Author feedback window<\/p>\n\n\n\n<p><strong>November 3, 2025<br><\/strong>Notification of final acceptance or rejection (Main Technical Track)<\/p>\n\n\n\n<p><strong>November 13, 2025<br><\/strong>Submission of camera-ready files (Main Technical Track)<\/p>\n\n\n\n<p><strong>January 20-27, 2026<br><\/strong>AAAI-26 Conference<\/p>\n\n\n\n<p><em>Note: Deadlines are track-specific and may differ from those listed&nbsp;above. Track-specific deadlines are listed on their respective CFP.<\/em><\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-genesis-blocks-gb-column gb-block-layout-column\"><div class=\"gb-block-layout-column-inner\">\n<h1 class=\"wp-block-heading\">Call for the Special Track on AI for Social Impact<\/h1>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-16018d1d wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button has-custom-width wp-block-button__width-75\"><a class=\"wp-block-button__link has-brand-color-7-color has-brand-color-2-background-color has-text-color has-background has-normal-font-size has-custom-font-size wp-element-button\" href=\"https:\/\/aaai.org\/conference\/aaai\/aaai-26\/submission-instructions\/\" style=\"border-radius:62px\" target=\"_blank\" rel=\"noreferrer noopener\">Submission Instructions and Submission Site<\/a><\/div>\n<\/div>\n\n\n\n<div style=\"height:15px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>AAAI-26 is pleased to continue a special track focused on Artificial Intelligence for Social Impact (AISI). This track recognizes that high quality research conducted in social impact domains often leads to papers that differ from traditional AAAI submissions in multiple dimensions. We invite authors to submit papers that prioritize and delve deeper into one or more of the following key aspects:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Data collection: Addressing the challenges associated with gathering data in social impact domains, such as innovative methods, validation techniques, and strategies to mitigate biases and ensure fairness.<\/li>\n\n\n\n<li>Problem modeling: Recognizing the intricate nature of problem formulation in social impact contexts, which requires close collaborations with domain experts and balancing various trade-offs&nbsp; in decision-making.<\/li>\n\n\n\n<li>Field tests and evaluation: Highlighting the significance of rigorous experimentation in real-world settings to assess social impact, encompassing well-designed experimental designs, complex evaluation methodologies, and comprehensive analysis.<\/li>\n<\/ul>\n\n\n\n<p>The aim of this track at AAAI-26 is to emphasize these technical challenges and opportunities, and to showcase the social benefits of artificial intelligence.&nbsp;<\/p>\n\n\n\n<p>This page outlines the specific track focus of the Special Track on AI for Social Impact (AISI), as well as review criteria unique to this track. For complete information about the following topics pertaining to all technical tracks and focus areas, including AISI, especially with regard to submission and deadline information, please refer to the main&nbsp;<a href=\"https:\/\/aaai.org\/conference\/aaai\/aaai-26\/\">AAAI-26 website<\/a>.<\/p>\n\n\n\n<p>Submissions to this special track will follow the regular AAAI technical paper submission procedure but the authors need to select the AISI special track. There will be no transfer of papers between the AAAI-26 main track and the AISI special track; therefore, authors will need to decide to which track they want to submit their paper (note that only this special track offers a set of AISI keywords). Papers submitted to this track will be evaluated using the following criteria which are different from the criteria for the main track. For acceptance into this track, typically we would expect papers to have a high score on some (but not necessarily all) of these criteria. As a reference, papers accepted for AAAI-22 AISI special track can be found&nbsp;<a href=\"https:\/\/aaai.org\/proceeding\/11-iaai-22-eaai-22-aaai-22-special-programs-student-papers-demonstrations\/\">here<\/a>.<\/p>\n\n\n\n<p><strong>Significance of the problem<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Excellent: The social impact problem considered by this paper is significant and has not been adequately addressed by the AI community.<\/li>\n\n\n\n<li>Good: This paper represents a new take on a significant social impact problem that has been considered in the AI community before.<\/li>\n\n\n\n<li>Fair: The social impact problem considered by this paper has some significance and this paper represents a new take on the problem.<\/li>\n\n\n\n<li>Poor: This paper\u2019s contribution was elsewhere: it follows up on an existing problem formulation or introduces a new problem with limited immediate potential for social impact.<\/li>\n<\/ul>\n\n\n\n<p><strong>Engagement with literature<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Excellent: Shows an excellent understanding of other literature on the problem, including that outside computer science.<\/li>\n\n\n\n<li>Good: Shows a strong understanding of other literature on the problem, perhaps focusing on various subtopics or on the CS literature.<\/li>\n\n\n\n<li>Fair: shows a moderate understanding of other literature on the topic, but does not engage in depth.<\/li>\n\n\n\n<li>Poor: Does not engage sufficiently with other literature on the topic.<\/li>\n<\/ul>\n\n\n\n<p><strong>Novelty of approach<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Excellent: Introduces a new model, data gathering technique, algorithm, and\/or data analysis technique.<\/li>\n\n\n\n<li>Good: Substantially improves upon an existing model, data gathering technique, algorithm, and\/or data analysis technique.<\/li>\n\n\n\n<li>Fair: Makes a moderate improvement to an existing model, data gathering technique, algorithm, and\/or data analysis technique.<\/li>\n\n\n\n<li>Poor: This paper\u2019s contribution was elsewhere: it employs existing models, data gathering techniques, algorithms, and\/or data analysis techniques (e.g., the paper presents a new experimental design and evaluation procedure).<\/li>\n<\/ul>\n\n\n\n<p><strong>Justification of approach<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Excellent: Thoroughly and convincingly justifies the approach taken, explaining strengths and weaknesses as compared to other alternatives.<\/li>\n\n\n\n<li>Good: The justification of the approach is convincing overall, but could have been more thorough and\/or alternatives could have been considered in more detail.<\/li>\n\n\n\n<li>Fair: The justification of the approach is relatively convincing, but has weaknesses.<\/li>\n\n\n\n<li>Poor: The justification of the approach is flawed and\/or not convincing.<\/li>\n<\/ul>\n\n\n\n<p><strong>Quality of evaluation<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Excellent: Evaluation was exemplary: data described the real world and was analyzed thoroughly.<\/li>\n\n\n\n<li>Good: Evaluation was convincing: datasets were realistic; analysis was solid.<\/li>\n\n\n\n<li>Fair: Evaluation was adequate, but had significant flaws: datasets were unrealistic and\/or analysis was insufficient.<\/li>\n\n\n\n<li>Poor: Evaluation was unconvincing.<\/li>\n<\/ul>\n\n\n\n<p><strong>Facilitation of follow-up work<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Excellent: Excellent facilitation of follow-up work: open-source code; public datasets; and a very clear description of how to use these elements in practice.<\/li>\n\n\n\n<li>Good: Strong facilitation of follow-up work: some elements are shared publicly (data, code, or a running system) and little effort would be required to replicate the results or apply them to a new domain.<\/li>\n\n\n\n<li>Fair: Adequate facilitation of follow-up work: moderate effort would be required to replicate the results or apply them to a new domain.<\/li>\n\n\n\n<li>Poor: Weak facilitation of follow-up work: considerable effort would be required to replicate the results or apply them to a new domain.<\/li>\n<\/ul>\n\n\n\n<p><strong>Scope and promise for social impact<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Excellent: Likelihood of social impact is extremely high: the paper\u2019s ideas are already being used in practice or could be immediately.<\/li>\n\n\n\n<li>Good: Likelihood of social impact is high: relatively little effort would be required to put this paper\u2019s ideas into practice, at least for a pilot study.<\/li>\n\n\n\n<li>Fair: Likelihood of social impact is moderate: this paper gets us closer to its goal, but considerably more work would be required before the paper\u2019s ideas could be implemented in practice.<\/li>\n\n\n\n<li>Poor: Likelihood of social impact is low: the ideas proposed in this paper are unlikely to make a significant impact on the proposed problem.<\/li>\n<\/ul>\n\n\n\n<p>Please refer to&nbsp;AAAI-26 Author policies&nbsp;for additional information.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Questions and Suggestions<\/h2>\n\n\n\n<p>Concerning author instructions, OpenReview issues and conference registration, write to <a href=\"mailto:aaai26@aaai.org\">aaai26@aaai.org<\/a>. &nbsp;<\/p>\n\n\n\n<p>Concerning suggestions for the program and other inquiries, write to the AAAI-26 AISI Program Cochairs:&nbsp;<a href=\"mailto:aaai26aisi@aaai.org\">aaai26aisi@aaai.org<\/a><\/p>\n\n\n\n<p>Andrew Perrault (The Ohio State University, USA)<\/p>\n\n\n\n<p>Daniel Sheldon (University of Massachusetts Amherst, USA)<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">AI for Social Impact Keywords<\/h2>\n\n\n\n<p>AISI: Other Social Impact<\/p>\n\n\n\n<p>AISI: Agriculture and Food<\/p>\n\n\n\n<p>AISI: Climate<\/p>\n\n\n\n<p>AISI: Computational Social Science and Humanities<\/p>\n\n\n\n<p>AISI: Disaster Mitigation and Response<\/p>\n\n\n\n<p>AISI: Education<\/p>\n\n\n\n<p>AISI: Energy<\/p>\n\n\n\n<p>AISI: Environmental Sustainability<\/p>\n\n\n\n<p>AISI: Low and Middle-Income Countries \/ Underserved Communities<\/p>\n\n\n\n<p>AISI: Mobility \/ Transportation<\/p>\n\n\n\n<p>AISI: Natural Sciences<\/p>\n\n\n\n<p>AISI: Philosophical and Ethical Issues<\/p>\n\n\n\n<p>AISI: Policy and Social Development<\/p>\n\n\n\n<p>AISI: Public Health&nbsp;<\/p>\n\n\n\n<p>AISI: Security and Privacy<\/p>\n\n\n\n<p>AISI: Social Networks and Social Media<\/p>\n\n\n\n<p>AISI: Social Welfare, Justice, Fairness and Equality<\/p>\n\n\n\n<p>AISI: Urban Planning<\/p>\n<\/div><\/div>\n<\/div><\/div>\n","protected":false},"featured_media":91339,"parent":91336,"menu_order":0,"template":"","meta":{"_acf_changed":false,"_eb_attr":"","ub_ctt_via":"","_genesis_hide_title":true,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"full-width-content"},"categories":[6079],"class_list":{"0":"post-92482","1":"conference","2":"type-conference","3":"status-publish","4":"has-post-thumbnail","6":"category-aaai-conference","7":"entry"},"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Call for the Special Track on AI for Social Impact - AAAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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