{"id":24328617,"url":"https://github.com/ukuhl/aaai_cf_tutorial","last_synced_at":"2026-04-21T15:03:52.037Z","repository":{"id":272261642,"uuid":"916003790","full_name":"ukuhl/AAAI_CF_Tutorial","owner":"ukuhl","description":"AAAI'25 Tutorial on \"(Really) Using Counterfactuals to Explain AI Systems\": https://sites.google.com/view/cfe-tutorial-aaai-25/startseite","archived":false,"fork":false,"pushed_at":"2025-02-25T21:48:30.000Z","size":352,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-02-25T22:29:39.828Z","etag":null,"topics":["explainable-ai","tutorial","user-study","xai"],"latest_commit_sha":null,"homepage":"https://sites.google.com/view/cfe-tutorial-aaai-25/startseite","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ukuhl.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-01-13T09:18:20.000Z","updated_at":"2025-02-25T21:48:33.000Z","dependencies_parsed_at":"2025-01-13T10:33:48.367Z","dependency_job_id":"7be46f5e-d1ed-45b0-a011-e8e08372f95c","html_url":"https://github.com/ukuhl/AAAI_CF_Tutorial","commit_stats":null,"previous_names":["ukuhl/aaai_cf_tutorial"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ukuhl%2FAAAI_CF_Tutorial","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ukuhl%2FAAAI_CF_Tutorial/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ukuhl%2FAAAI_CF_Tutorial/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ukuhl%2FAAAI_CF_Tutorial/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ukuhl","download_url":"https://codeload.github.com/ukuhl/AAAI_CF_Tutorial/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243004070,"owners_count":20220237,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["explainable-ai","tutorial","user-study","xai"],"created_at":"2025-01-17T23:29:50.673Z","updated_at":"2026-04-21T15:03:52.000Z","avatar_url":"https://github.com/ukuhl.png","language":"Jupyter Notebook","readme":"## (Really) Using Counterfactuals to Explain AI Systems: Fundamentals, Methods, \u0026 User Studies for XAI\n\nHalf Day Tutorial presented at AAAI'25, Pennsylvania Convention Centre, Philadelphia, US\n\n[Homepage](https://sites.google.com/view/cfe-tutorial-aaai-25/startseite)\n\n[Slides](slides/)\n\n### Hands-On Sessions\n\nThis tutorial features two hands-on sessions: 1) A session on computing counterfactual explanations in Python 2) A session on evaluating a user-study.\n\n#### Computing Counterfactuals in Python\n\n[Jupyter notebook](0-cf_in_python.ipynb) \u003ca target=\"_blank\" href=\"https://colab.research.google.com/github/ukuhl/AAAI_CF_Tutorial/blob/main/0-cf_in_python.ipynb\"\u003e\u003cimg src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/\u003e\u003c/a\u003e\n\n#### Analyzing a Simple Two-Group User Study\n\n[Jupyter notebook](1-user_study_evaluation_AAAI.ipynb) \u003ca target=\"_blank\" href=\"https://colab.research.google.com/github/ukuhl/AAAI_CF_Tutorial/blob/main/1-user_study_evaluation_AAAI.ipynb\"\u003e\u003cimg src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/\u003e\u003c/a\u003e\n\n### How to cite\n\nIf you are using / referring to these materials in your own work, please cite \n\nKuhl, U., Artelt, A., Keane, M.T. (2025). (Really) Using Counterfactuals to Explain AI Systems: Fundamentals, Methods, \u0026 User Studies for XAI (Tutorial).\n*39th AAAI Conference on Artificial Intelligence (AAAI'25)*, Philadelphia, US (February).\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fukuhl%2Faaai_cf_tutorial","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fukuhl%2Faaai_cf_tutorial","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fukuhl%2Faaai_cf_tutorial/lists"}