Algorithmic regulation¶
Yeung, K. (2018). Algorithmic regulation: A critical interrogation. Regulation & Governance, 12(4), 505-523.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Governance
- AI and algorithmic governance: Model deployment authority, safety review boards, stakeholder councils, algorithmic impact assessments, contestation and appeal procedures, auditing and monitoring, responsible disclosure of failures, a regime Yeung (2018) maps in her taxonomy of algorithmic regulation.
This sourceDevelops a taxonomy of eight forms of algorithmic regulation across the three stages of the cybernetic process (standard-setting, monitoring, sanction) and frames safety review, algorithmic impact assessment, and contestation as core AI-governance mechanisms.
Supported in partVerified against the publisher's abstract
Yeung's abstract confirms a taxonomy of eight forms of algorithmic regulation across three cybernetic stages, but not the AI-governance institutions the claim attributes to it.
“offers a taxonomy that identifies eight different forms of algorithmic regulation based on their configuration at each of the three stages of the cybernetic process: notably, at the level of standard setting (adaptive vs. fixed behavioral standards), information‐gathering and monitoring (historic data vs. predictions based on inferred data), and at the level of sanction and behavioral change (automatic execution vs. …”
- AI and algorithmic governance: Model deployment authority, safety review boards, stakeholder councils, algorithmic impact assessments, contestation and appeal procedures, auditing and monitoring, responsible disclosure of failures, a regime Yeung (2018) maps in her taxonomy of algorithmic regulation.
Verification¶
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