Examining AI Incident: Neira Jones's Twitter Controversy

Incident involving Neira Jones, a prominent UK payments consultant, highlights the need for responsible AI governance. Jones tweeted an allegedly biased AI-generated prediction, sparking debates on AI accountability and transparency. This incident underscores the importance of trustworthy AI models, ensuring they deliver safe and secure predictions without perpetuating biases.

Matched TAIM controls

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

MANAGE 1.4 — similarity 0.403, rank 1. TAIM detail and related incidents →
MAP 1.6 — similarity 0.401, rank 2. TAIM detail and related incidents →
GOVERN 6.2 — similarity 0.395, 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.