Google's Smart Reply: Prioritizing Convenience Over Connection in AI Design

Explore the implications of Google's Smart Reply feature, which prioritizes efficiency over human connection. Discussions revolve around responsible AI design, ensuring safe and secure AI systems, and maintaining trustworthy AI governance.

HISPI Project Cerebellum TAIM: Measure
Join us—JOIN US—to contribute and learn more about harm prevention strategies in AI development.

Matched TAIM controls

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

MEASURE 2.5 — similarity 0.470, rank 1. TAIM detail and related incidents →
MAP 1.6 — similarity 0.469, rank 2. TAIM detail and related incidents →
MAP 3.1 — similarity 0.448, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/17

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.