Benjamin Faveri Co-Authors New Publication on AI Auditing Standards and Governance Challenges
The Institute of Political Economy at Carleton University is proud to highlight the recent publication of “AI Audit Objects, Credentialing, and the Race-to-the-Bottom: Three AI Auditing Challenges and A Path Forward”, co-authored by current graduate student Benjamin Faveri and published in Tech Policy Press.
Co-written with Graeme Auld, and Stefan Renckens, the article addresses three major obstacles facing the future of artificial intelligence (AI) auditing:
Defining the Audit Object – What exactly should be audited within AI systems: algorithms, data practices, or organizational structures?
Credentialing Qualified Auditors – How can the field ensure that auditors are both technically proficient and ethically accountable?
Avoiding a Race-to-the-Bottom – Without consistent standards, there is a growing risk that audits will sacrifice rigor for speed and cost-effectiveness.
The authors call for a coordinated approach involving policymakers, industry stakeholders, and civil society to develop robust, transparent, and ethical auditing frameworks for AI systems.
We extend our congratulations to Benjamin Faveri for this timely and impactful contribution to the field of technology governance.