Trust Is Not Enough: Accuracy, Error, Randomness, and Accountability in an Algorithmic Society: Searching for improved algorithmic accountability.
The article discusses the need for accountability from those responsible for search algorithms, including software engineers, corporate officers, institutions, and licensing agencies. Challenges in developing a mechanism for accountability in algorithmic systems are presented, as is the need to addr...
| Publicado en: | Communications of the ACM Vol. 66; no. 6; pp. 42 - 45 |
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| Formato: | Artículo |
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Association for Computing Machinery
Jun2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | The article discusses the need for accountability from those responsible for search algorithms, including software engineers, corporate officers, institutions, and licensing agencies. Challenges in developing a mechanism for accountability in algorithmic systems are presented, as is the need to address the potential harms caused by algorithmic systems. A significant barrier to accountability includes shifting the blame for errors to external, uncontrollable factors, which the authors refer to as scapegoating. |
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