{"id":32421,"date":"2024-07-29T11:12:59","date_gmt":"2024-07-29T09:12:59","guid":{"rendered":"https:\/\/nr.no\/en\/?post_type=bc_event&p=32421"},"modified":"2024-09-11T10:51:12","modified_gmt":"2024-09-11T08:51:12","slug":"1st-oslo-invitational-workshop-on-model-agnostic-xai","status":"publish","type":"bc_event","link":"https:\/\/nr.no\/en\/events\/1st-oslo-invitational-workshop-on-model-agnostic-xai\/","title":{"rendered":"1st Oslo Invitational Workshop on Model-Agnostic Explainable AI"},"content":{"rendered":"\n
\n
\n

Time and place: September 12, 2024 08:45 AM \u2013 3:30 PM.<\/h3>\n\n\n\n

Please note: Due to high interest, the event has been moved to Auditorium<\/a> 2 (U218)<\/a> in Kristine Bonnevies hus at the University of Oslo.<\/strong><\/h3>\n\n\n\n

Welcome to the 1st Oslo Invitational Workshop on Model-Agnostic Explainable AI (XAI)!<\/p>\n\n\n\n

The workshop is co-organised and funded by Integreat and BigInsight.<\/p>\n\n\n\n

Join us and our esteemed group of speakers as we discuss core XAI methodology and explore its practical applications.<\/p>\n\n\n\n

The workshop is open to everyone, though background knowledge of XAI and interpretable machine learning is advisable. The first session is specifically aimed at researchers in relevant fields, while the second session is designed for data scientists and practitioners interested in practical applications of XAI.<\/p>\n\n\n\n

The workshop will consist of two sessions and you may attend either one or both. <\/p>\n\n\n\n

Registration is now closed. If you wish to register after the deadline, please contact jullum@nr.no<\/a>. <\/p>\n\n\n\n

<\/p>\n\n\n\n

<\/div>\n\n\n\n

Programme<\/h3>\n\n\n\n
 <\/strong><\/td>From 08.45<\/td>Registration, coffee and welcome<\/td> <\/td><\/tr>
 <\/strong>METHODOLOGY (09.00-12.20)<\/strong><\/td>09.00<\/td>Setting the stage and XAI-research at NR<\/td>Martin Jullum, Norwegian Computing Center<\/a><\/td><\/tr>
09.15<\/td>Global interpretation methods: Overview and recent developments<\/td>Giuseppe Casalicchio, LMU Munich, Munich Center for Machine Learning (MCML)<\/a><\/td><\/tr>
9.55<\/td>Pitfalls of global interpretation methods<\/td>Julia Herbinger, Leibniz Institute for Agricultural Engineering and Bioeconomy<\/a><\/td><\/tr>
10.35<\/td>Coffee break<\/strong><\/strong><\/td> <\/td><\/tr>
10.50<\/td>Methods for estimating conditional Shapley values, and when to use them<\/td>Lars Henry Berge Olsen, University of Oslo<\/a><\/td><\/tr>
11.20<\/td>MCCE: Monte Carlo sampling of realistic counterfactual explanations<\/td>Kjersti Aas, Norwegian Computing Center<\/a><\/td><\/tr>
11.50<\/td>XAI for misalignment detection: Comparison of local and global methods<\/td>Inga Str\u00fcmke, NTNU<\/a><\/td><\/tr>
 <\/strong><\/td>12.20<\/td>LUNCH (free of charge)<\/strong><\/td> <\/td><\/tr>
 <\/strong>APPLICATION (13.05 \u2013 15.30)<\/strong><\/td>13.05<\/td>Shapley values and their uncertainties in complex regression models for epidemiological applications<\/td>Mark van De Wiel, Amsterdam UMC<\/a><\/td><\/tr>
13.45<\/td>Explego: An XAI-method selection tool<\/td>Martin Jullum, Norwegian Computing Center<\/a><\/td><\/tr>
14.00<\/td>Transparent modelling in the insurance industry<\/td>Tatiana <\/a>Polushina<\/a>,<\/a> Gjensidige<\/a><\/td><\/tr>
14.15<\/td>Transparency and explainability for credit risk modelling in the crowdfunding business<\/td>Mirko Drazic, FundingPartner<\/a><\/td><\/tr>
14.30<\/td>Coffee break<\/strong><\/td> <\/td><\/tr>
14.45<\/td>Panel and joint discussion: Experiences on practical usage of XAI<\/strong><\/td>Mirko <\/a>Drazic<\/a>, FundingPartner<\/a>, Jon <\/a>Vegar<\/a> Sparre, NAV<\/a>\u00a0and Martin Lerudjordet, Gjensidige<\/a>

Lead by\u00a0Anders L\u00f8land, Norwegian Computing Center<\/a><\/td><\/tr>
15.20<\/td>Brief summary and closing remarks<\/td> <\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div>\n\n\n\n
\n

For more information, please contact:<\/h3>\n\n\n\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\n\t\t\t\t\t
\n\t\t\t\t\"\"\n\t\t\t<\/figure>\n\t\t\t\t
\n\t\t\t

Martin Jullum<\/p>\n\t\t\t\t\t\t\t

Senior Research Scientist<\/p>\n\t\t\t\t\t\t<\/svg>\n\t\t<\/div>\n\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\n\n\n
\"BigInsight<\/figure>\n\n\n\n

\"Integreat<\/figure>\n<\/div>\n<\/div>\n","protected":false},"featured_media":32381,"template":"","meta":{"_acf_changed":false,"_trash_the_other_posts":false,"editor_notices":[],"footnotes":""},"event_category":[],"class_list":["post-32421","bc_event","type-bc_event","status-publish","has-post-thumbnail"],"acf":[],"_links":{"self":[{"href":"https:\/\/nr.no\/en\/wp-json\/wp\/v2\/bc_event\/32421","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nr.no\/en\/wp-json\/wp\/v2\/bc_event"}],"about":[{"href":"https:\/\/nr.no\/en\/wp-json\/wp\/v2\/types\/bc_event"}],"version-history":[{"count":5,"href":"https:\/\/nr.no\/en\/wp-json\/wp\/v2\/bc_event\/32421\/revisions"}],"predecessor-version":[{"id":32726,"href":"https:\/\/nr.no\/en\/wp-json\/wp\/v2\/bc_event\/32421\/revisions\/32726"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/nr.no\/en\/wp-json\/wp\/v2\/media\/32381"}],"wp:attachment":[{"href":"https:\/\/nr.no\/en\/wp-json\/wp\/v2\/media?parent=32421"}],"wp:term":[{"taxonomy":"event_category","embeddable":true,"href":"https:\/\/nr.no\/en\/wp-json\/wp\/v2\/event_category?post=32421"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}