The Impact of Brand Safety Technology on News Funding: A Cautionary Tale

Exploring the unintended consequences of brand safety technologies, this article sheds light on how they may inadvertently defund news content. Understanding responsible AI governance and guardrails for safe and secure AI is crucial in mitigating such issues.

Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MEASURE 2.6 — similarity 0.582, rank 1. TAIM detail and related incidents →
MEASURE 1.3 — similarity 0.546, rank 2. TAIM detail and related incidents →
MEASURE 3.2 — similarity 0.542, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/136

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

Pre-print on arXiv · Database snapshots & citation guide

We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.