Making Artificial Intelligence More Sustainable: Three Points of Entry into an Ethical Black Box (notice n° 506511)
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| fixed length control field | 01847cam a2200277 4500500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250121084821.0 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | fre |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | dc |
| 100 10 - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Bazin, Yoann |
| Relator term | author |
| 245 00 - TITLE STATEMENT | |
| Title | Making Artificial Intelligence More Sustainable: Three Points of Entry into an Ethical Black Box |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Date of publication, distribution, etc. | 2024.<br/> |
| 500 ## - GENERAL NOTE | |
| General note | 15 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | The technological leaps in artificial intelligence (AI) over the past twenty years have profoundly renewed its ability to support, if not replace, humans in many settings, further intensifying rising concerns about decisions made, actions taken, and their potential consequences. A robust conceptual framework to engage with AI ethics is thus more necessary than ever in order to make it more sustainable. To this purpose, this essay advances an approach to AI ethics ‘from within’, defining it as the style of its algorithm(s) in practice. To demonstrate its practical value, I explore three points of entry: (1) value-laden patterns embedded in datasets used in machine learning, (2) the importance of value functions in the training and operating of AI, and (3) the possibility of adjusting some ‘ethics settings’. The example of algorithmic Human Resource Management (HRM) is examined to see how it can be brought closer to sustainable HRM. JEL Codes: O310 |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | Algorithmic HRM |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | Sustainable HRM |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | AI Ethics |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | Artificial Intelligence |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | Ethics Settings |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | Algorithmic HRM |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | Sustainable HRM |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | AI Ethics |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | Artificial Intelligence |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | Ethics Settings |
| 786 0# - DATA SOURCE ENTRY | |
| Note | Journal of Innovation Economics & Management | o 44 | 2 | 2024-05-17 | p. 119-136 |
| 856 41 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://shs.cairn.info/journal-of-innovation-economics-2024-2-page-119?lang=en&redirect-ssocas=7080">https://shs.cairn.info/journal-of-innovation-economics-2024-2-page-119?lang=en&redirect-ssocas=7080</a> |
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