Disentangling and Operationalizing AI Fairness at LinkedIn-Reference-Cited by-同舟云学术

Disentangling and Operationalizing AI Fairness at LinkedIn

Published:2023-06-12 Issue: Volume: Page:
ISSN:
Container-title:2023 ACM Conference on Fairness, Accountability, and Transparency
language:
Short-container-title:

Author:

Quiñonero Candela Joaquin¹^ORCID,Wu Yuwen¹^ORCID,Hsu Brian¹^ORCID,Jain Sakshi¹^ORCID,Ramos Jennifer¹^ORCID,Adams Jon¹^ORCID,Hallman Robert¹^ORCID,Basu Kinjal¹^ORCID

Affiliation:

1. LinkedIn, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3593013.3594075

Reference78 articles.

1. 2021. Together we can improve equal access to opportunity. (2021). https://members.linkedin.com/equal-access 2021. Together we can improve equal access to opportunity. (2021). https://members.linkedin.com/equal-access

2. 2022. Hide candidate names and photos in LinkedIn Recruiter. (2022). https://www.linkedin.com/help/recruiter/answer/a481559 2022. Hide candidate names and photos in LinkedIn Recruiter. (2022). https://www.linkedin.com/help/recruiter/answer/a481559

3. 2022. Improve Gender Representation in Your Candidate Pools with These Diversity Features. (2022). https://www.linkedin.com/pulse/improve-gender-representation-your-candidate-/ 2022. Improve Gender Representation in Your Candidate Pools with These Diversity Features. (2022). https://www.linkedin.com/pulse/improve-gender-representation-your-candidate-/

4. 2022. Microsoft Responsible AI Standard. (2022). https://query.prod.cms.rt.microsoft.com/cms/api/am/binary/RE5cmFl 2022. Microsoft Responsible AI Standard. (2022). https://query.prod.cms.rt.microsoft.com/cms/api/am/binary/RE5cmFl

5. Online Parameter Selection for Web-based Ranking Problems

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Overcoming Bias in Healthcare Organization Hiring Algorithms;Advances in Medical Technologies and Clinical Practice;2024-02-26