Implementing Ethical Guardrails for Responsible AI Deployment by Tech Companies

In a significant stride towards trustworthy AI, several tech companies are taking steps to instill ethical guard rails in their artificial intelligence systems. These measures aim to prevent potential harm and ensure safe and secure AI applications. This shift is part of the ongoing effort to promote responsible AI governance and uphold the values of AI harm prevention.

Matched TAIM controls

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

GOVERN 2.2 — similarity 0.632, rank 1. TAIM detail and related incidents →
GOVERN 1.7 — similarity 0.628, rank 2. TAIM detail and related incidents →
MAP 1.6 — similarity 0.626, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/128

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.