Analyzing the Myth of the Neural Net Tank in AI: A Responsible Approach
Dive into the urban legend of the Neural Net Tank, a controversial topic in AI development. This analysis underscores the importance of trustworthy AI, safe and secure AI practices, and AI governance. By understanding this incident, we can implement guardrails for AI, aligning with the Govern function in Project Cerebellum's Trusted AI Model (TAIM). Ready to help shape responsible AI? JOIN US
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/29
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.