Pokemon Go is augmented reality. Too bad reality is still racist.
Recently, the popularity of augmented reality (AR) games like Pokémon Go has surged. However, as players enjoy this innovative technology, i...
Read moreEvidence-based Transparent For governance
Recently, the popularity of augmented reality (AR) games like Pokémon Go has surged. However, as players enjoy this innovative technology, i...
Read moreFaceApp, the popular photo-editing app, has issued an apology following backlash over a controversial feature. The filter in question, accus...
Read moreIn a striking instance of AI-powered gender bias, Google Translate has been reported to erroneously translate female historians as male, and...
Read moreExploring the unintended consequences of automating human services through the Robodebt example, highlighting the role of responsible AI gov...
Read moreExploring the ethical implications of IBM's controversial AI development, which utilizes NYPD surveillance footage to create a technology th...
Read moreRecent research has questioned the effectiveness and fairness of Chicago Police Department's covert 'Heat List', a controversial tool used t...
Read moreExplore the impact of machine bias on AI applications, its sources, and potential solutions towards creating a responsible AI ecosystem. Und...
Read moreRecent studies reveal a gender bias in search engine results, potentially impacting the experiences of millions of women worldwide. This phe...
Read moreExploring the implications of existing biases in search engine results, this article delves into their potential escalation and calls for im...
Read moreRecent reports have surfaced alleging racial bias in Google's image search results for queries involving black teenagers. This incident unde...
Read moreRecent fatal crash involving Tesla's Autopilot feature has raised concerns about accountability and safety. This incident marks the third kn...
Read moreIn 2016, Joshua Brown, a Tesla driver, lost his life in an accident involving a self-driving car. Despite the incident highlighting potentia...
Read moreData 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.