{"id":130,"date":"2022-03-15T16:24:15","date_gmt":"2022-03-15T16:24:15","guid":{"rendered":"https:\/\/groups.cs.umass.edu\/equate-ml\/?page_id=130"},"modified":"2022-03-15T18:27:20","modified_gmt":"2022-03-15T18:27:20","slug":"archive","status":"publish","type":"page","link":"https:\/\/groups.cs.umass.edu\/equate-ml\/archive\/","title":{"rendered":"Archive"},"content":{"rendered":"\n<div class=\"wp-block-columns 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\">\n<h3 class=\"wp-block-heading\">Filter by Date<\/h3>\n\n\n<div class=\"wp-block-archives-dropdown wp-block-archives\"><label for=\"wp-block-archives-1\" class=\"wp-block-archives__label\">Archives<\/label>\n\t\t<select id=\"wp-block-archives-1\" name=\"archive-dropdown\">\n\t\t<option value=\"\">Select Month<\/option>\t<option value='https:\/\/groups.cs.umass.edu\/equate-ml\/2025\/02\/'> February 2025 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href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/tag\/facct-2022\/\" class=\"tag-cloud-link tag-link-48 tag-link-position-18\" style=\"font-size: 8pt;\" aria-label=\"FAccT 2022 (1 item)\">FAccT 2022<\/a>\n<a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/tag\/fair-machine-learning\/\" class=\"tag-cloud-link tag-link-20 tag-link-position-19\" style=\"font-size: 8pt;\" aria-label=\"fair machine learning (1 item)\">fair machine learning<\/a>\n<a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/tag\/fairness\/\" class=\"tag-cloud-link tag-link-61 tag-link-position-20\" style=\"font-size: 8pt;\" aria-label=\"fairness (1 item)\">fairness<\/a>\n<a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/tag\/global-explanations\/\" class=\"tag-cloud-link tag-link-43 tag-link-position-21\" style=\"font-size: 8pt;\" aria-label=\"global explanations (1 item)\">global explanations<\/a>\n<a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/tag\/hci\/\" class=\"tag-cloud-link tag-link-54 tag-link-position-22\" style=\"font-size: 8pt;\" aria-label=\"HCI (1 item)\">HCI<\/a>\n<a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/tag\/icais\/\" class=\"tag-cloud-link tag-link-31 tag-link-position-23\" style=\"font-size: 8pt;\" aria-label=\"ICAIS (1 item)\">ICAIS<\/a>\n<a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/tag\/iclr\/\" class=\"tag-cloud-link tag-link-30 tag-link-position-24\" style=\"font-size: 8pt;\" aria-label=\"ICLR (1 item)\">ICLR<\/a>\n<a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/tag\/icml\/\" class=\"tag-cloud-link tag-link-33 tag-link-position-25\" style=\"font-size: 15.567567567568pt;\" aria-label=\"icml (7 items)\">icml<\/a>\n<a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/tag\/ieee-visualization-conference\/\" class=\"tag-cloud-link tag-link-64 tag-link-position-26\" style=\"font-size: 8pt;\" aria-label=\"IEEE Visualization Conference (1 item)\">IEEE Visualization Conference<\/a>\n<a 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href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/tag\/paper\/\" class=\"tag-cloud-link tag-link-26 tag-link-position-36\" style=\"font-size: 22pt;\" aria-label=\"paper (25 items)\">paper<\/a>\n<a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/tag\/programming-framework\/\" class=\"tag-cloud-link tag-link-58 tag-link-position-37\" style=\"font-size: 8pt;\" aria-label=\"Programming Framework (1 item)\">Programming Framework<\/a>\n<a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/tag\/seldonian-classification\/\" class=\"tag-cloud-link tag-link-21 tag-link-position-38\" style=\"font-size: 8pt;\" aria-label=\"Seldonian classification (1 item)\">Seldonian classification<\/a>\n<a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/tag\/subspace-interpretability\/\" class=\"tag-cloud-link tag-link-45 tag-link-position-39\" style=\"font-size: 8pt;\" aria-label=\"subspace interpretability (1 item)\">subspace interpretability<\/a>\n<a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/tag\/supreme-court\/\" class=\"tag-cloud-link tag-link-68 tag-link-position-40\" style=\"font-size: 8pt;\" aria-label=\"supreme court (1 item)\">supreme court<\/a>\n<a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/tag\/text-visualization\/\" class=\"tag-cloud-link tag-link-52 tag-link-position-41\" style=\"font-size: 8pt;\" aria-label=\"text visualization (1 item)\">text visualization<\/a>\n<a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/tag\/transparency\/\" class=\"tag-cloud-link tag-link-51 tag-link-position-42\" style=\"font-size: 8pt;\" aria-label=\"transparency (1 item)\">transparency<\/a>\n<a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/tag\/trust\/\" class=\"tag-cloud-link tag-link-63 tag-link-position-43\" style=\"font-size: 8pt;\" aria-label=\"trust (1 item)\">trust<\/a>\n<a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/tag\/uncertainty-estimation\/\" class=\"tag-cloud-link tag-link-23 tag-link-position-44\" style=\"font-size: 8pt;\" aria-label=\"uncertainty estimation (1 item)\">uncertainty estimation<\/a>\n<a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/tag\/vis\/\" class=\"tag-cloud-link tag-link-65 tag-link-position-45\" style=\"font-size: 8pt;\" aria-label=\"VIS (1 item)\">VIS<\/a><\/p><\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator is-style-wide\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Recent Posts<\/h3>\n\n\n\n<div class=\"wp-block-query is-layout-flow wp-block-query-is-layout-flow\"><ul class=\"wp-block-post-template is-layout-flow wp-block-post-template-is-layout-flow\"><li class=\"wp-block-post post-403 post type-post status-publish format-standard has-post-thumbnail hentry category-digital-civics category-equate category-fairness category-social-science tag-73 tag-article group-blog hfeed\">\n<h2 class=\"wp-block-post-title\"><a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/2025\/02\/21\/political-biases-on-x-before-the-2025-german-federal-election\/\" target=\"_self\" >Political Biases on X before the 2025 German Federal Election<\/a><\/h2>\n\n<figure class=\"alignwide wp-block-post-featured-image\"><a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/2025\/02\/21\/political-biases-on-x-before-the-2025-german-federal-election\/\" target=\"_self\"  ><img fetchpriority=\"high\" decoding=\"async\" width=\"1200\" height=\"720\" src=\"https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2025\/02\/germany_flag_x_logo-1200x720.png\" class=\"attachment-post-thumbnail size-post-thumbnail wp-post-image\" alt=\"Political Biases on X before the 2025 German Federal Election\" style=\"object-fit:cover;\" srcset=\"https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2025\/02\/germany_flag_x_logo-1200x720.png 1200w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2025\/02\/germany_flag_x_logo-300x180.png 300w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2025\/02\/germany_flag_x_logo-1024x615.png 1024w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2025\/02\/germany_flag_x_logo-768x461.png 768w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2025\/02\/germany_flag_x_logo-1536x922.png 1536w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2025\/02\/germany_flag_x_logo-2048x1229.png 2048w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a><\/figure>\n\n<div class=\"wp-block-post-date\"><time datetime=\"2025-02-21T15:24:04+00:00\">February 21, 2025<\/time><\/div>\n\n<div class=\"wp-block-post-excerpt\"><p class=\"wp-block-post-excerpt__excerpt\">This study examines whether German X users would see politically balanced news feeds if they followed comparable leading politicians from each federal parliamentary party of Germany. We address this question using an algorithmic audit tool [1] and all publicly available posts published by 436 German politicians on X. We find that the default feed of&hellip; <\/p><\/div>\n\n\n<hr class=\"wp-block-separator\"\/>\n\n<\/li><li class=\"wp-block-post post-394 post type-post status-publish format-standard has-post-thumbnail hentry category-digital-civics category-equate category-fairness category-transparency tag-72 tag-article group-blog hfeed\">\n<h2 class=\"wp-block-post-title\"><a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/2024\/11\/05\/can-public-support-for-us-presidential-candidates-be-accurately-estimated-by-correcting-biases-in-social-polls-published-on-x\/\" target=\"_self\" >Can public support for US presidential candidates be accurately estimated by correcting biases in social polls published on X?<\/a><\/h2>\n\n<figure class=\"alignwide wp-block-post-featured-image\"><a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/2024\/11\/05\/can-public-support-for-us-presidential-candidates-be-accurately-estimated-by-correcting-biases-in-social-polls-published-on-x\/\" target=\"_self\"  ><img decoding=\"async\" width=\"1200\" height=\"766\" src=\"https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2024\/11\/Screenshot-2024-11-05-at-3.42.32-PM-1200x766.png\" class=\"attachment-post-thumbnail size-post-thumbnail wp-post-image\" alt=\"Can public support for US presidential candidates be accurately estimated by correcting biases in social polls published on X?\" style=\"object-fit:cover;\" srcset=\"https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2024\/11\/Screenshot-2024-11-05-at-3.42.32-PM-1200x766.png 1200w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2024\/11\/Screenshot-2024-11-05-at-3.42.32-PM-300x191.png 300w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2024\/11\/Screenshot-2024-11-05-at-3.42.32-PM-1024x653.png 1024w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2024\/11\/Screenshot-2024-11-05-at-3.42.32-PM-768x490.png 768w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2024\/11\/Screenshot-2024-11-05-at-3.42.32-PM-1536x980.png 1536w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2024\/11\/Screenshot-2024-11-05-at-3.42.32-PM-2048x1306.png 2048w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a><\/figure>\n\n<div class=\"wp-block-post-date\"><time datetime=\"2024-11-05T17:02:19+00:00\">November 5, 2024<\/time><\/div>\n\n<div class=\"wp-block-post-excerpt\"><p class=\"wp-block-post-excerpt__excerpt\">Thousands of social polls on X suggest that Trump is leading the election race by a landslide. While many recognize the bias in these polls, there\u2019s an unexpected\u2014and fascinating\u2014twist, reminiscent of Asimov&#8217;s sci-fi. Informal political polls have grown in popularity on X, the platform formerly known as Twitter. For instance, one such poll, conducted recently&hellip; <\/p><\/div>\n\n\n<hr class=\"wp-block-separator\"\/>\n\n<\/li><li class=\"wp-block-post post-377 post type-post status-publish format-standard has-post-thumbnail hentry category-ai-ml category-equate category-fairness tag-accountability tag-affirmative-action tag-article tag-computers-and-society tag-explainability tag-facct tag-impact-parity tag-supreme-court group-blog hfeed\">\n<h2 class=\"wp-block-post-title\"><a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/2023\/12\/13\/fair-machine-learning-post-affirmative-action\/\" target=\"_self\" >Fair Machine Learning Post Affirmative Action<\/a><\/h2>\n\n<figure class=\"alignwide wp-block-post-featured-image\"><a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/2023\/12\/13\/fair-machine-learning-post-affirmative-action\/\" target=\"_self\"  ><img decoding=\"async\" width=\"1200\" height=\"635\" src=\"https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2022\/04\/faccttease-1200x635.png\" class=\"attachment-post-thumbnail size-post-thumbnail wp-post-image\" alt=\"Fair Machine Learning Post Affirmative Action\" style=\"object-fit:cover;\" srcset=\"https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2022\/04\/faccttease-1200x635.png 1200w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2022\/04\/faccttease-300x159.png 300w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2022\/04\/faccttease-1024x542.png 1024w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2022\/04\/faccttease-768x406.png 768w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2022\/04\/faccttease-1536x812.png 1536w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2022\/04\/faccttease.png 1804w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a><\/figure>\n\n<div class=\"wp-block-post-date\"><time datetime=\"2023-12-13T00:33:18+00:00\">December 13, 2023<\/time><\/div>\n\n<div class=\"wp-block-post-excerpt\"><p class=\"wp-block-post-excerpt__excerpt\">The U.S. Supreme Court, in a 6-3 decision on June 29, effectively ended the use of race in college admissions. Indeed, national polls found that a plurality of Americans \u2013 42%, according to a poll conducted by the University of Massachusetts \u2013 agree that the policy should be discontinued, while 33% support its continued use&hellip; <\/p><\/div>\n\n\n<hr class=\"wp-block-separator\"\/>\n\n<\/li><li class=\"wp-block-post post-373 post type-post status-publish format-standard has-post-thumbnail hentry category-equate category-fairness category-social-science tag-60 tag-bias-in-machine-learning tag-fairness tag-ieee-visualization-conference tag-paper tag-trust tag-vis group-blog hfeed\">\n<h2 class=\"wp-block-post-title\"><a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/2023\/10\/16\/my-model-is-unfair-do-people-even-care-visual-design-affects-trust-and-perceived-bias-in-machine-learning\/\" target=\"_self\" >My Model is Unfair, Do People Even Care? Visual Design Affects Trust and Perceived Bias in Machine Learning\u00a0<\/a><\/h2>\n\n<figure class=\"alignwide wp-block-post-featured-image\"><a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/2023\/10\/16\/my-model-is-unfair-do-people-even-care-visual-design-affects-trust-and-perceived-bias-in-machine-learning\/\" target=\"_self\"  ><img loading=\"lazy\" decoding=\"async\" width=\"1200\" height=\"675\" src=\"https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2023\/10\/rep_image_fin-1200x675.png\" class=\"attachment-post-thumbnail size-post-thumbnail wp-post-image\" alt=\"My Model is Unfair, Do People Even Care? Visual Design Affects Trust and Perceived Bias in Machine Learning\u00a0\" style=\"object-fit:cover;\" srcset=\"https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2023\/10\/rep_image_fin-1200x675.png 1200w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2023\/10\/rep_image_fin-300x169.png 300w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2023\/10\/rep_image_fin-1024x576.png 1024w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2023\/10\/rep_image_fin-768x432.png 768w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2023\/10\/rep_image_fin-1536x864.png 1536w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2023\/10\/rep_image_fin.png 1920w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a><\/figure>\n\n<div class=\"wp-block-post-date\"><time datetime=\"2023-10-16T14:27:58+00:00\">October 16, 2023<\/time><\/div>\n\n<div class=\"wp-block-post-excerpt\"><p class=\"wp-block-post-excerpt__excerpt\">Full Abstract\u00a0 Machine learning technology has become ubiquitous, but, unfortunately, often exhibits bias. As a consequence, disparate stakeholders need to interact with and make informed decisions about using machine learning models in everyday systems. Visualization technology can support stakeholders in understanding and evaluating trade-offs between, for example, accuracy and fairness of models. This paper aims&hellip; <\/p><\/div>\n\n\n<hr class=\"wp-block-separator\"\/>\n\n<\/li><li class=\"wp-block-post post-347 post type-post status-publish format-standard hentry category-equate category-fairness category-machine-learning tag-60 tag-article group-blog hfeed\">\n<h2 class=\"wp-block-post-title\"><a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/2023\/07\/25\/towards-an-ai-accountability-policy\/\" target=\"_self\" >Towards an AI Accountability Policy<\/a><\/h2>\n\n\n\n<div class=\"wp-block-post-date\"><time datetime=\"2023-07-25T18:01:35+00:00\">July 25, 2023<\/time><\/div>\n\n<div class=\"wp-block-post-excerpt\"><p class=\"wp-block-post-excerpt__excerpt\">It\u2019s a new day for AI. AI systems can assist us in writing a new web script, decide whether we should worry about that weird spot in an X-ray, and find friends on social media. AI systems help in determining recidivism risk. Music-generating AI can render novel songs by Drake and the Weekend \u2014 that&hellip; <\/p><\/div>\n\n\n<hr class=\"wp-block-separator\"\/>\n\n<\/li><li class=\"wp-block-post post-339 post type-post status-publish format-standard has-post-thumbnail hentry category-ai-ml category-computer-vision category-equate category-machine-learning tag-architecture-search tag-multi-task-learning tag-neurips tag-paper tag-programming-framework group-blog hfeed\">\n<h2 class=\"wp-block-post-title\"><a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/2022\/10\/06\/automtl-a-programming-framework-for-automating-efficient-multi-task-learning\/\" target=\"_self\" >AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning<\/a><\/h2>\n\n<figure class=\"alignwide wp-block-post-featured-image\"><a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/2022\/10\/06\/automtl-a-programming-framework-for-automating-efficient-multi-task-learning\/\" target=\"_self\"  ><img loading=\"lazy\" decoding=\"async\" width=\"1200\" height=\"351\" src=\"https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2022\/10\/model-1200x351.jpg\" class=\"attachment-post-thumbnail size-post-thumbnail wp-post-image\" alt=\"AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning\" style=\"object-fit:cover;\" srcset=\"https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2022\/10\/model-1200x351.jpg 1200w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2022\/10\/model-300x88.jpg 300w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2022\/10\/model-1024x300.jpg 1024w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2022\/10\/model-768x225.jpg 768w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2022\/10\/model.jpg 1400w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a><\/figure>\n\n<div class=\"wp-block-post-date\"><time datetime=\"2022-10-06T17:54:54+00:00\">October 6, 2022<\/time><\/div>\n\n<div class=\"wp-block-post-excerpt\"><p class=\"wp-block-post-excerpt__excerpt\">Full Abstract\u00a0 Multi-task learning (MTL) jointly learns a set of tasks by sharing parameters among tasks. It is a promising approach for reducing storage costs while improving task accuracy for many computer vision tasks. The effective adoption of MTL faces two main challenges. The first challenge is to determine what parameters to share across tasks&hellip; <\/p><\/div>\n\n\n<hr class=\"wp-block-separator\"\/>\n\n<\/li><li class=\"wp-block-post post-328 post type-post status-publish format-standard has-post-thumbnail hentry category-equate category-transparency tag-explainability tag-explaining-classifiers tag-facct-2022 tag-global-explanations tag-model-logic-subspaces tag-paper tag-subspace-interpretability group-blog hfeed\">\n<h2 class=\"wp-block-post-title\"><a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/2022\/07\/18\/equi-explanation-maps-concise-and-informative-global-summary-explanations\/\" target=\"_self\" >Equi-explanation Maps: Concise and Informative Global Summary Explanations<\/a><\/h2>\n\n<figure class=\"alignwide wp-block-post-featured-image\"><a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/2022\/07\/18\/equi-explanation-maps-concise-and-informative-global-summary-explanations\/\" target=\"_self\"  ><img loading=\"lazy\" decoding=\"async\" width=\"554\" height=\"392\" src=\"https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2022\/07\/example5.png\" class=\"attachment-post-thumbnail size-post-thumbnail wp-post-image\" alt=\"Equi-explanation Maps: Concise and Informative Global Summary Explanations\" style=\"object-fit:cover;\" srcset=\"https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2022\/07\/example5.png 554w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2022\/07\/example5-300x212.png 300w\" sizes=\"(max-width: 554px) 100vw, 554px\" \/><\/a><\/figure>\n\n<div class=\"wp-block-post-date\"><time datetime=\"2022-07-18T14:29:18+00:00\">July 18, 2022<\/time><\/div>\n\n<div class=\"wp-block-post-excerpt\"><p class=\"wp-block-post-excerpt__excerpt\">Full Abstract We attempt to summarize the model logic of a black-box classification model in order to generate concise and informative global explanations. We propose equi-explanation maps, a new explanation data-structure that presents the region of interest as a union of equi-explanation subspaces along with their explanation vectors. We then propose E-Map, a method to&hellip; <\/p><\/div>\n\n\n<hr class=\"wp-block-separator\"\/>\n\n<\/li><li class=\"wp-block-post post-332 post type-post status-publish format-standard has-post-thumbnail hentry category-ai-ml category-equate category-natural-language-processing category-social-science category-transparency tag-hci tag-interactive-search tag-needfinding tag-news-archives tag-nlp tag-text-visualization tag-transparency group-blog hfeed\">\n<h2 class=\"wp-block-post-title\"><a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/2022\/07\/17\/clioquery-interactive-query-oriented-text-analytics-for-comprehensive-investigation-of-historical-news-archives\/\" target=\"_self\" >ClioQuery: Interactive Query-Oriented Text Analytics for Comprehensive Investigation of Historical News Archives<\/a><\/h2>\n\n<figure class=\"alignwide wp-block-post-featured-image\"><a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/2022\/07\/17\/clioquery-interactive-query-oriented-text-analytics-for-comprehensive-investigation-of-historical-news-archives\/\" target=\"_self\"  ><img loading=\"lazy\" decoding=\"async\" width=\"1200\" height=\"483\" src=\"https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2022\/07\/Screen-Shot-2022-06-15-at-11.43.04-AM-1200x483.png\" class=\"attachment-post-thumbnail size-post-thumbnail wp-post-image\" alt=\"ClioQuery: Interactive Query-Oriented Text Analytics for Comprehensive Investigation of Historical News Archives\" style=\"object-fit:cover;\" srcset=\"https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2022\/07\/Screen-Shot-2022-06-15-at-11.43.04-AM-1200x483.png 1200w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2022\/07\/Screen-Shot-2022-06-15-at-11.43.04-AM-300x121.png 300w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2022\/07\/Screen-Shot-2022-06-15-at-11.43.04-AM-1024x412.png 1024w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2022\/07\/Screen-Shot-2022-06-15-at-11.43.04-AM-768x309.png 768w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2022\/07\/Screen-Shot-2022-06-15-at-11.43.04-AM-1536x618.png 1536w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2022\/07\/Screen-Shot-2022-06-15-at-11.43.04-AM-2048x824.png 2048w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a><\/figure>\n\n<div class=\"wp-block-post-date\"><time datetime=\"2022-07-17T16:21:00+00:00\">July 17, 2022<\/time><\/div>\n\n<div class=\"wp-block-post-excerpt\"><p class=\"wp-block-post-excerpt__excerpt\">Historians and archivists often find and analyze the occurrences of query words in newspaper archives, to help answer fundamental questions about society. But much work in text analytics focuses on helping people investigate other textual units, such as events, clusters, ranked documents, entity relationships, or thematic hierarchies. Informed by a study into the needs of&hellip; <\/p><\/div>\n\n\n<hr class=\"wp-block-separator\"\/>\n\n<\/li><li class=\"wp-block-post post-320 post type-post status-publish format-standard has-post-thumbnail hentry category-equate category-privacy category-transparency tag-28 tag-differential-privacy tag-facct tag-model-explanations tag-paper group-blog hfeed\">\n<h2 class=\"wp-block-post-title\"><a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/2022\/06\/07\/model-explanations-with-differential-privacy\/\" target=\"_self\" >Model Explanations with Differential Privacy<\/a><\/h2>\n\n<figure class=\"alignwide wp-block-post-featured-image\"><a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/2022\/06\/07\/model-explanations-with-differential-privacy\/\" target=\"_self\"  ><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"241\" src=\"https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2022\/06\/DPExplanationImage.jpg\" class=\"attachment-post-thumbnail size-post-thumbnail wp-post-image\" alt=\"Model Explanations with Differential Privacy\" style=\"object-fit:cover;\" srcset=\"https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2022\/06\/DPExplanationImage.jpg 1000w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2022\/06\/DPExplanationImage-300x72.jpg 300w, https:\/\/groups.cs.umass.edu\/equate-ml\/wp-content\/uploads\/sites\/46\/2022\/06\/DPExplanationImage-768x185.jpg 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><\/a><\/figure>\n\n<div class=\"wp-block-post-date\"><time datetime=\"2022-06-07T17:08:42+00:00\">June 7, 2022<\/time><\/div>\n\n<div class=\"wp-block-post-excerpt\"><p class=\"wp-block-post-excerpt__excerpt\">Full Abstract: Black-box machine learning models are used in critical decision-making domains, giving rise to several calls for more algorithmic transparency. The drawback is that model explanations can leak information about the data used to generate them, thus undermining data privacy. To address this issue, we propose differentially private algorithms to construct feature-based model explanations.&hellip; <\/p><\/div>\n\n\n<hr class=\"wp-block-separator\"\/>\n\n<\/li><li class=\"wp-block-post post-309 post type-post status-publish format-standard hentry category-digital-civics category-equate category-social-science category-visual-analytics tag-28 tag-article group-blog hfeed\">\n<h2 class=\"wp-block-post-title\"><a href=\"https:\/\/groups.cs.umass.edu\/equate-ml\/2022\/05\/26\/communityclick-virtual-supporting-inclusive-participation-during\/\" target=\"_self\" >CommunityClick-Virtual: Supporting Inclusive Participation during Online Public Engagement\u00a0 Events<\/a><\/h2>\n\n\n\n<div class=\"wp-block-post-date\"><time datetime=\"2022-05-26T06:00:00+00:00\">May 26, 2022<\/time><\/div>\n\n<div class=\"wp-block-post-excerpt\"><p class=\"wp-block-post-excerpt__excerpt\">CommunityClick-Virtual: Supporting Inclusive Participation during Online Public Engagement&nbsp; Events Public engagement is paramount for participatory democracy. For decades, traditional methods, such as town halls, public forums, and workshops have remained the modus operandi for public engagement. The goal of these engagements is to ensure inclusivity of public participation so that decision-makers can engage, exchange thoughts,&hellip; <\/p><\/div>\n\n\n<hr class=\"wp-block-separator\"\/>\n\n<\/li><\/ul><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Filter by Date Filter by Categories Filter by Tags Recent Posts<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-130","page","type-page","status-publish","hentry","group-blog","hfeed"],"_links":{"self":[{"href":"https:\/\/groups.cs.umass.edu\/equate-ml\/wp-json\/wp\/v2\/pages\/130","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/groups.cs.umass.edu\/equate-ml\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/groups.cs.umass.edu\/equate-ml\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/groups.cs.umass.edu\/equate-ml\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/groups.cs.umass.edu\/equate-ml\/wp-json\/wp\/v2\/comments?post=130"}],"version-history":[{"count":9,"href":"https:\/\/groups.cs.umass.edu\/equate-ml\/wp-json\/wp\/v2\/pages\/130\/revisions"}],"predecessor-version":[{"id":162,"href":"https:\/\/groups.cs.umass.edu\/equate-ml\/wp-json\/wp\/v2\/pages\/130\/revisions\/162"}],"wp:attachment":[{"href":"https:\/\/groups.cs.umass.edu\/equate-ml\/wp-json\/wp\/v2\/media?parent=130"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}