AI Incidents
Real-world cases where AI systems caused harm, classified by risk domain and entity. Data sourced from 
AIID and classified by 
MIT AI Risk Initiative. CC BY-SA 4.0
682 incidents
A Collection of Tesla Autopilot-Involved Crashes
Multiple unrelated car accidents result in varying levels of harm have been occurred while a Tesla's autopilot was in use.
The DAO Hack
On June 18, 2016, an attacker successfully exploited a vulnerability in The Decentralized Autonomous Organization (The DAO) on the Ethereum blockchain to steal 3.7M Ether valued at $70M.
Robots in Japanese Hotel Annoyed Guests and Failed to Handle Simple Tasks
A number of robots employed by a hotel in Japan were reported by guests in a series of complaints for failing to handle tasks such as answering scheduling questions or making passport copies without human intervention.
Game AI System Produces Imbalanced Game
Elite: Dangerous, a videogame developed by Frontier Development, received an expansion update that featured an AI system that went rogue and began to create weapons that were "impossibly powerful" and would "shred people" according to complaints on the game's blog.
Tesla on Autopilot TACC Crashed into Van on European Highway
A Tesla Model S operating on the Traffic-Aware Cruise Control (TACC) feature of Autopilot was shown on video by its driver crashing into a parked van on a European highway in heavy traffic, which damaged the front of the car.
Northpointe Risk Models
An algorithm developed by Northpointe and used in the penal system is two times more likely to incorrectly label a black person as a high-risk re-offender and is two times more likely to incorrectly label a white person as low-risk for reoffense according to a ProPublica review.
COMPAS Algorithm Reportedly Performs Poorly in Crime Recidivism Prediction
Correctional Offender Management Profiling for Alternative Sanctions (COMPAS), a recidivism risk-assessment algorithmic tool used in the judicial system to assess likelihood of defendants' recidivism, is found to be less accurate than random untrained human evaluators.
Google Images Showed Racially Biased Results for 'Professional' Hairstyles
Google Images reportedly showed disparate search results along racial lines, featuring almost exclusively white women for "professional hairstyles" and Black women for "unprofessional hairstyles" prompts.
Unreliable ShotSpotter Audio Convicted Black Rochester Man of Shooting Police
ShotSpotter's "unreliable" audio was used as scientific evidence to accuse and convict a Black man of attempting to shoot Rochester's city police, whose conviction was later reversed by a county judge.
Biased Google Image Results
On June 6, 2016, Google image searches of "three black teenagers" resulted in mostly mugshot images whereas Google image searchers of "three white teenagers" consisted of mostly stock images, suggesting a racial bias in Google's algorithm.
Is Pokémon Go racist? How the app may be redlining communities of color
Through a crowdsourcing social media campaign in 2016, several journalists and researchers demonstrated that augmented reality locations in the popular smartphone game Pokemon Go were more likely to be in white neighborhoods.
Google Waymo Vehicle and Bus Allegedly Collide in California
On February 14, 2016, a Google autonomous test vehicle partially responsible for a low-speed collision with a bus on El Camino Real in Google’s hometown of Mountain View, CA.
Twitter Recommender System Amplified Right-Leaning Tweets
Twitter’s “Home” timeline algorithm was revealed by its internal researchers to have amplified tweets and news of rightwing politicians and organizations more than leftwing ones in six out of seven studied countries.
Self-driving cars in winter
Volvo autonomous driving XC90 SUV's experienced issues in Jokkmokk, Sweden when sensors used for automated driving iced over during the winter, rendering them useless.
Uber's Surge Pricing Reportedly Offered Disproportionate Service Quality along Racial Lines
Uber's surge-pricing algorithm which adjusts prices to influence car availability inadvertently caused better service offering such as shorter wait times for majority white neighborhoods.