Implementing Ethical Guardrails in AI: A Crucial Shift Among Tech Firms
Explore the significant movement among tech companies towards implementing ethical guardrails for their AI systems, a key aspect of trustworthy and responsible AI. This trend reflects the growing awareness of AI governance and its importance in ensuring safe and secure AI applications. Notably, this development aligns with Project Cerebellum's efforts to create an extensive AI incident database for harm prevention and advance guardrails for AI. Ready to help shape responsible AI? JOIN US This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).
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.