A pragmatic perspective on AI transparency at workplace
<p dir="ltr">Recently, artificial intelligence (AI) systems have been widely used in different contexts and professions. However, with these systems developing and becoming more complex, they have transformed into black boxes that are difficult to interpret and explain. Therefore, ur...
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2023
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| _version_ | 1864513530440450048 |
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| author | Ghanim Al-Sulaiti (17807360) |
| author2 | Mohammad Amin Sadeghi (8321631) Lokendra Chauhan (17807363) Ji Lucas (17807366) Sanjay Chawla (4254202) Ahmed Elmagarmid (17807369) |
| author2_role | author author author author author |
| author_facet | Ghanim Al-Sulaiti (17807360) Mohammad Amin Sadeghi (8321631) Lokendra Chauhan (17807363) Ji Lucas (17807366) Sanjay Chawla (4254202) Ahmed Elmagarmid (17807369) |
| author_role | author |
| dc.creator.none.fl_str_mv | Ghanim Al-Sulaiti (17807360) Mohammad Amin Sadeghi (8321631) Lokendra Chauhan (17807363) Ji Lucas (17807366) Sanjay Chawla (4254202) Ahmed Elmagarmid (17807369) |
| dc.date.none.fl_str_mv | 2023-01-30T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1007/s43681-023-00257-w |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/A_pragmatic_perspective_on_AI_transparency_at_workplace/25018004 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Information and computing sciences Artificial intelligence Human-centred computing Transparency Augmentation Pragmatic transparency Explainability AI errors |
| dc.title.none.fl_str_mv | A pragmatic perspective on AI transparency at workplace |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">Recently, artificial intelligence (AI) systems have been widely used in different contexts and professions. However, with these systems developing and becoming more complex, they have transformed into black boxes that are difficult to interpret and explain. Therefore, urged by the wide media coverage of negative incidents involving AI, many scholars and practitioners have called for AI systems to be transparent and explainable. In this study, we examine transparency in AI-augmented settings, such as in workplaces, and perform a novel analysis of the different jobs and tasks that can be augmented by AI. Using more than 1000 job descriptions and 20,000 tasks from the O*NET database, we analyze the level of transparency required to augment these tasks by AI. Our findings indicate that the transparency requirements differ depending on the augmentation score and perceived risk category of each task. Furthermore, they suggest that it is important to be pragmatic about transparency, and they support the growing viewpoint regarding the impracticality of the notion of full transparency.</p><h2>Other Information</h2><p dir="ltr">Published in: AI and Ethics<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1007/s43681-023-00257-w" target="_blank">https://dx.doi.org/10.1007/s43681-023-00257-w</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_b88756c4cd2706b4851914b4ae2b650e |
| identifier_str_mv | 10.1007/s43681-023-00257-w |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25018004 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | A pragmatic perspective on AI transparency at workplaceGhanim Al-Sulaiti (17807360)Mohammad Amin Sadeghi (8321631)Lokendra Chauhan (17807363)Ji Lucas (17807366)Sanjay Chawla (4254202)Ahmed Elmagarmid (17807369)Information and computing sciencesArtificial intelligenceHuman-centred computingTransparencyAugmentationPragmatic transparencyExplainabilityAI errors<p dir="ltr">Recently, artificial intelligence (AI) systems have been widely used in different contexts and professions. However, with these systems developing and becoming more complex, they have transformed into black boxes that are difficult to interpret and explain. Therefore, urged by the wide media coverage of negative incidents involving AI, many scholars and practitioners have called for AI systems to be transparent and explainable. In this study, we examine transparency in AI-augmented settings, such as in workplaces, and perform a novel analysis of the different jobs and tasks that can be augmented by AI. Using more than 1000 job descriptions and 20,000 tasks from the O*NET database, we analyze the level of transparency required to augment these tasks by AI. Our findings indicate that the transparency requirements differ depending on the augmentation score and perceived risk category of each task. Furthermore, they suggest that it is important to be pragmatic about transparency, and they support the growing viewpoint regarding the impracticality of the notion of full transparency.</p><h2>Other Information</h2><p dir="ltr">Published in: AI and Ethics<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1007/s43681-023-00257-w" target="_blank">https://dx.doi.org/10.1007/s43681-023-00257-w</a></p>2023-01-30T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1007/s43681-023-00257-whttps://figshare.com/articles/journal_contribution/A_pragmatic_perspective_on_AI_transparency_at_workplace/25018004CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/250180042023-01-30T03:00:00Z |
| spellingShingle | A pragmatic perspective on AI transparency at workplace Ghanim Al-Sulaiti (17807360) Information and computing sciences Artificial intelligence Human-centred computing Transparency Augmentation Pragmatic transparency Explainability AI errors |
| status_str | publishedVersion |
| title | A pragmatic perspective on AI transparency at workplace |
| title_full | A pragmatic perspective on AI transparency at workplace |
| title_fullStr | A pragmatic perspective on AI transparency at workplace |
| title_full_unstemmed | A pragmatic perspective on AI transparency at workplace |
| title_short | A pragmatic perspective on AI transparency at workplace |
| title_sort | A pragmatic perspective on AI transparency at workplace |
| topic | Information and computing sciences Artificial intelligence Human-centred computing Transparency Augmentation Pragmatic transparency Explainability AI errors |