AI Work Assistants Require More Effort Than Expected, CIOs Say
June 25, 2024
These challenges result in delays in deployment and frustration for businesses seeking to harness the potential of these expensive AI tools. This situation underscores the need for trustworthy AI governance, data management best practices, and safe and secure AI practices. For those interested in shaping the future of responsible AI, we invite you to join HISPI Project Cerebellum's effort to establish guardrails for AI through its TAIM (Govern, Map, Measure, Manage) framework.
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Matched TAIM controls
Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls
- MEASURE 2.6 — similarity 0.717, rank 1. TAIM detail and related incidents →
- MEASURE 4.2 — similarity 0.700, rank 2. TAIM detail and related incidents →
- MEASURE 2.5 — similarity 0.694, rank 3. TAIM detail and related incidents →
- Alleged deployer
- cios, enterprise-teams, companies-in-general
- Alleged developer
- microsoft, google
- Alleged harmed parties
- cios, enterprise-teams, companies-in-general, microsoft-copilot-users
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/744
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.