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| 4 | "author": "Mayra Russo", | 4 | "author": "Mayra Russo", | ||
| 5 | "author_email": "yashrajsinh.chudasama@tib.eu", | 5 | "author_email": "yashrajsinh.chudasama@tib.eu", | ||
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| 11 | "doi_date_published": "2024-07-16", | 11 | "doi_date_published": "2024-07-16", | ||
| 12 | "doi_publisher": "TIB", | 12 | "doi_publisher": "TIB", | ||
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| 16 | "extra_authors": [ | 16 | "extra_authors": [ | ||
| 17 | { | 17 | { | ||
| 18 | "extra_author": "Yashrajsinh Chudasama", | 18 | "extra_author": "Yashrajsinh Chudasama", | ||
| 19 | "orcid": "0000-0003-3422-366X" | 19 | "orcid": "0000-0003-3422-366X" | ||
| 20 | }, | 20 | }, | ||
| 21 | { | 21 | { | ||
| 22 | "extra_author": "Disha Purohit", | 22 | "extra_author": "Disha Purohit", | ||
| 23 | "orcid": "0000-0002-1442-335X" | 23 | "orcid": "0000-0002-1442-335X" | ||
| 24 | }, | 24 | }, | ||
| 25 | { | 25 | { | ||
| 26 | "extra_author": "Sammy Sawischa", | 26 | "extra_author": "Sammy Sawischa", | ||
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| 28 | }, | 28 | }, | ||
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| 49 | "language": "English", | 49 | "language": "English", | ||
| 50 | "license_id": "cc-by", | 50 | "license_id": "cc-by", | ||
| 51 | "license_title": "Creative Commons Attribution", | 51 | "license_title": "Creative Commons Attribution", | ||
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| 53 | "link_orkg": "https://www.orkg.org/orkg/paper/R705632", | 53 | "link_orkg": "https://www.orkg.org/orkg/paper/R705632", | ||
| 54 | "maintainer": "Yashrajsinh Chudasama", | 54 | "maintainer": "Yashrajsinh Chudasama", | ||
| 55 | "maintainer_email": "yashrajsinh.chudasama@tib.eu", | 55 | "maintainer_email": "yashrajsinh.chudasama@tib.eu", | ||
| 56 | "metadata_created": "2024-07-16T11:43:50.389008", | 56 | "metadata_created": "2024-07-16T11:43:50.389008", | ||
| 57 | "metadata_modified": "2024-07-16T11:53:40.215090", | 57 | "metadata_modified": "2024-07-16T11:53:40.215090", | ||
| 58 | "name": | 58 | "name": | ||
| 59 | ploying-hybrid-ai-systems-to-trace-and-document-bias-in-ml-pipelines", | 59 | ploying-hybrid-ai-systems-to-trace-and-document-bias-in-ml-pipelines", | ||
| 60 | "notes": "A hybrid AI system capable of identifying bias patterns in | 60 | "notes": "A hybrid AI system capable of identifying bias patterns in | ||
| 61 | datasets used by predictive AI models. The proposed system captures | 61 | datasets used by predictive AI models. The proposed system captures | ||
| 62 | knowledge about dataset characteristics and represents it as factual | 62 | knowledge about dataset characteristics and represents it as factual | ||
| 63 | statements in a knowledge graph.", | 63 | statements in a knowledge graph.", | ||
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| 66 | "orcid": "0000-0001-7080-6331", | 66 | "orcid": "0000-0001-7080-6331", | ||
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| 68 | "approval_status": "approved", | 68 | "approval_status": "approved", | ||
| 69 | "created": "2017-11-23T17:30:37.757128", | 69 | "created": "2017-11-23T17:30:37.757128", | ||
| 70 | "description": "The German National Library of Science and | 70 | "description": "The German National Library of Science and | ||
| 71 | Technology, abbreviated TIB, is the national library of the Federal | 71 | Technology, abbreviated TIB, is the national library of the Federal | ||
| 72 | Republic of Germany for all fields of engineering, technology, and the | 72 | Republic of Germany for all fields of engineering, technology, and the | ||
| 73 | natural sciences.", | 73 | natural sciences.", | ||
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| 80 | "title": "TIB", | 80 | "title": "TIB", | ||
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| 106 | "name": "BuzzFeed Dataset", | 106 | "name": "BuzzFeed Dataset", | ||
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| 134 | "name": "PolitiFact Dataset", | 134 | "name": "PolitiFact Dataset", | ||
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| 150 | "state": "active", | 150 | "state": "active", | ||
| 151 | "tags": [ | 151 | "tags": [ | ||
| 152 | { | 152 | { | ||
| 153 | "display_name": "Bias", | 153 | "display_name": "Bias", | ||
| 154 | "id": "2dae510d-16c2-4435-8af9-05771787347f", | 154 | "id": "2dae510d-16c2-4435-8af9-05771787347f", | ||
| 155 | "name": "Bias", | 155 | "name": "Bias", | ||
| 156 | "state": "active", | 156 | "state": "active", | ||
| 157 | "vocabulary_id": null | 157 | "vocabulary_id": null | ||
| 158 | }, | 158 | }, | ||
| 159 | { | 159 | { | ||
| 160 | "display_name": "knowledge graphs", | 160 | "display_name": "knowledge graphs", | ||
| 161 | "id": "6a8020fc-d07a-4f67-9d12-74c252ba1c81", | 161 | "id": "6a8020fc-d07a-4f67-9d12-74c252ba1c81", | ||
| 162 | "name": "knowledge graphs", | 162 | "name": "knowledge graphs", | ||
| 163 | "state": "active", | 163 | "state": "active", | ||
| 164 | "vocabulary_id": null | 164 | "vocabulary_id": null | ||
| 165 | }, | 165 | }, | ||
| 166 | { | 166 | { | ||
| 167 | "display_name": "machine learning", | 167 | "display_name": "machine learning", | ||
| 168 | "id": "9e42784b-6ee7-47e8-a69a-28b8c510212b", | 168 | "id": "9e42784b-6ee7-47e8-a69a-28b8c510212b", | ||
| 169 | "name": "machine learning", | 169 | "name": "machine learning", | ||
| 170 | "state": "active", | 170 | "state": "active", | ||
| 171 | "vocabulary_id": null | 171 | "vocabulary_id": null | ||
| 172 | } | 172 | } | ||
| 173 | ], | 173 | ], | ||
| 174 | "temporal_resolution": "", | 174 | "temporal_resolution": "", | ||
| 175 | "title": "Employing Hybrid AI Systems to Trace and Document Bias in | 175 | "title": "Employing Hybrid AI Systems to Trace and Document Bias in | ||
| 176 | ML Pipelines", | 176 | ML Pipelines", | ||
| 177 | "type": "dataset", | 177 | "type": "dataset", | ||
| 178 | "url": | 178 | "url": | ||
| 179 | ps://github.com/SDM-TIB/DocBiasKG/tree/main/DocBias_over_InterpretME", | 179 | ps://github.com/SDM-TIB/DocBiasKG/tree/main/DocBias_over_InterpretME", | ||
| 180 | "version": "", | 180 | "version": "", | ||
| 181 | "version_note": "" | 181 | "version_note": "" | ||
| 182 | } | 182 | } |