Navigating the AI Landscape: Examining Pokemon Go Incident

In this article, we delve into a fascinating case study of Pokemon Go, exploring the intersection of AI, user experience, and responsible AI governance. Discover how this popular mobile game demonstrated both the promise and potential pitfalls of AI technology. From enhancing user engagement to causing privacy concerns, we examine the lessons learned from this incident in promoting safe and secure AI.

Matched TAIM controls

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

MEASURE 2.11 — similarity 0.463, rank 1. TAIM detail and related incidents →
MEASURE 2.6 — similarity 0.458, rank 2. TAIM detail and related incidents →
MANAGE 1.4 — similarity 0.441, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/73

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.