The emergence of artificial intelligence ethics auditing.
The emerging ecosystem of artificial intelligence (AI) ethics and governance auditing has grown rapidly in recent years in anticipation of impending regulatory efforts that encourage both internal and external auditing. Yet, there is limited understanding of this evolving landscape. We conduct an in...
| Published in: | Big Data & Society Vol. 11; no. 4; pp. 1 - 17 |
|---|---|
| Main Authors: | , , |
| Format: | Article |
| Published: |
Sage Publications Inc.
Oct-Dec2024
|
| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=182046945&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 182046945 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 20539517 KG5N jtl: Big Data & Society issn: 20539517 maglogo: Y pubinfo: dt: Oct-Dec2024 vid: 11 iid: 4 pid: 344 pub: Sage Publications Inc. artinfo: ui: 182046945 10.1177/20539517241299732 ppf: 1 ppct: 16 formats: tig: atl: The emergence of artificial intelligence ethics auditing. aug: au: Schiff, Daniel S Kelley, Stephanie Camacho Ibáñez, Javier affil: Department of Political Science, 311308Purdue University, West Lafayette, IN, USA Sobey School of Business, 3690Saint Mary's University, Halifax, Nova Scotia, Canada Departamento de Economía y Empresa, 16740Universidad Europea Madrid, Madrid, Spain su: Internal auditing Artificial intelligence Auditing Semi-structured interviews Private sector sug: subj: Internal auditing Artificial intelligence Auditing Semi-structured interviews Private sector keyword: AI ethics auditing AI risk management algorithmic governance digital ethics responsible AI semi-structured interviews ab: The emerging ecosystem of artificial intelligence (AI) ethics and governance auditing has grown rapidly in recent years in anticipation of impending regulatory efforts that encourage both internal and external auditing. Yet, there is limited understanding of this evolving landscape. We conduct an interview-based study of 34 individuals in the AI ethics auditing ecosystem across seven countries to examine the motivations, key auditing activities, and challenges associated with AI ethics auditing in the private sector. We find that AI ethics audits follow financial auditing stages, but tend to lack robust stakeholder involvement, measurement of success, and external reporting. Audits are hyper-focused on technically oriented AI ethics principles of bias, privacy, and explainability, to the exclusion of other principles and socio-technical approaches, reflecting a regulatory emphasis on technical risk management. Auditors face challenges, including competing demands across interdisciplinary functions, firm resource and staffing constraints, lack of technical and data infrastructure to enable auditing, and significant ambiguity in interpreting regulations and standards given limited (or absent) best practices and tractable regulatory guidance. Despite these roadblocks, AI ethics and governance auditors are playing a critical role in the early ecosystem: building auditing frameworks, interpreting regulations, curating practices, and sharing learnings with auditees, regulators, and other stakeholders. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2024 holdings: @attributes: islocal: N |
|---|