Skip to Content
logologo
AI Incident Database
Open TwitterOpen RSS FeedOpen FacebookOpen LinkedInOpen GitHub
Open Menu
発見する
投稿する
  • ようこそAIIDへ
  • インシデントを発見
  • 空間ビュー
  • テーブル表示
  • リスト表示
  • 組織
  • 分類法
  • インシデントレポートを投稿
  • 投稿ランキング
  • ブログ
  • AIニュースダイジェスト
  • リスクチェックリスト
  • おまかせ表示
  • サインアップ
閉じる
発見する
投稿する
  • ようこそAIIDへ
  • インシデントを発見
  • 空間ビュー
  • テーブル表示
  • リスト表示
  • 組織
  • 分類法
  • インシデントレポートを投稿
  • 投稿ランキング
  • ブログ
  • AIニュースダイジェスト
  • リスクチェックリスト
  • おまかせ表示
  • サインアップ
閉じる

インシデント 8: Uber Autonomous Cars Running Red Lights

概要: Uber vehicles equipped with technology allowing for autonomous driving running red lights in San Francisco street testing.

ツール

新しいレポート新しいレポート新しいレスポンス新しいレスポンス発見する発見する履歴を表示履歴を表示

組織

すべての組織を表示
推定: Uberが開発し提供したAIシステムで、pedestrians と Motoristsに影響を与えた

インシデントのステータス

インシデントID
8
レポート数
10
インシデント発生日
2014-08-15
エディタ
Sean McGregor
Applied Taxonomies
CSETv0, CSETv1, MIT

CSETv0 分類法のクラス

分類法の詳細

Problem Nature

Indicates which, if any, of the following types of AI failure describe the incident: "Specification," i.e. the system's behavior did not align with the true intentions of its designer, operator, etc; "Robustness," i.e. the system operated unsafely because of features or changes in its environment, or in the inputs the system received; "Assurance," i.e. the system could not be adequately monitored or controlled during operation.
 

Specification, Assurance

Physical System

Where relevant, indicates whether the AI system(s) was embedded into or tightly associated with specific types of hardware.
 

Vehicle/mobile robot

Level of Autonomy

The degree to which the AI system(s) functions independently from human intervention. "High" means there is no human involved in the system action execution; "Medium" means the system generates a decision and a human oversees the resulting action; "low" means the system generates decision-support output and a human makes a decision and executes an action.
 

Medium

Nature of End User

"Expert" if users with special training or technical expertise were the ones meant to benefit from the AI system(s)’ operation; "Amateur" if the AI systems were primarily meant to benefit the general public or untrained users.
 

Expert

Public Sector Deployment

"Yes" if the AI system(s) involved in the accident were being used by the public sector or for the administration of public goods (for example, public transportation). "No" if the system(s) were being used in the private sector or for commercial purposes (for example, a ride-sharing company), on the other.
 

No

Data Inputs

A brief description of the data that the AI system(s) used or were trained on.
 

Traffick patterns, environment surroundings, human driver input

CSETv1 分類法のクラス

分類法の詳細

Incident Number

The number of the incident in the AI Incident Database.
 

8

MIT 分類法のクラス

Machine-Classified
分類法の詳細

Risk Subdomain

A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
 

7.3. Lack of capability or robustness

Risk Domain

The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
 
  1. AI system safety, failures, and limitations

Entity

Which, if any, entity is presented as the main cause of the risk
 

AI

Timing

The stage in the AI lifecycle at which the risk is presented as occurring
 

Post-deployment

Intent

Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
 

Unintentional

インシデントレポート

レポートタイムライン

Incident Occurrence+3
Uber's Self-Driving Car Runs Red Light in San Francisco
+4
A self-driving Uber ran a red light last December, contrary to company claims
Danger, danger! 10 alarming examples of AI gone wild
Uber's Self-Driving Car Runs Red Light in San Francisco

Uber's Self-Driving Car Runs Red Light in San Francisco

wired.com

Uber’s Self Driving Cars Are Running Red Lights, Uber’s Blaming “Human Error”

Uber’s Self Driving Cars Are Running Red Lights, Uber’s Blaming “Human Error”

futurism.com

Witness says self-driving Uber ran red light on its own, disputing Uber's claims

Witness says self-driving Uber ran red light on its own, disputing Uber's claims

theguardian.com

Uber Denounces Traffic Light Laws After Self-Driving Car Runs Red Light

Uber Denounces Traffic Light Laws After Self-Driving Car Runs Red Light

medium.com

A self-driving Uber ran a red light last December, contrary to company claims

A self-driving Uber ran a red light last December, contrary to company claims

theverge.com

Report contradicts Uber's explanation of robocar red light slip

Report contradicts Uber's explanation of robocar red light slip

cnet.com

Uber’s Self-Driving Cars Missed Six Red Lights In San Francisco

Uber’s Self-Driving Cars Missed Six Red Lights In San Francisco

fortune.com

Uber's Autonomous Vehicles Responsible For Red Light Violations, Not "Human Error"

Uber's Autonomous Vehicles Responsible For Red Light Violations, Not "Human Error"

thedrive.com

Investigation: Uber red light-running car was fault of technology, not driver

Investigation: Uber red light-running car was fault of technology, not driver

sfexaminer.com

Danger, danger! 10 alarming examples of AI gone wild

Danger, danger! 10 alarming examples of AI gone wild

infoworld.com

Uber's Self-Driving Car Runs Red Light in San Francisco
wired.com · 2016

An Uber equipped to drive itself ran a red light in San Francisco’s SOMA neighborhood Wednesday morning, per a YouTube video apparently shot from a local Luxor cab and reported by The Examiner:

In the video, a Volvo XC90 SUV decked out in t…

Uber’s Self Driving Cars Are Running Red Lights, Uber’s Blaming “Human Error”
futurism.com · 2016

Uber’s San Francisco trial run of its self-driving service last Tuesday is catching people’s attention. Unfortunately, it might not exactly be the kind of hype that Uber hoped for. As previously noted, the ride-hailing service company’s aut…

Witness says self-driving Uber ran red light on its own, disputing Uber's claims
theguardian.com · 2016

Company insists traffic violations in San Francisco are the result of ‘human error’ by drivers who can take control if needed, but witness account contradicts this

An autonomous Uber malfunctioned while in “self-driving mode” and caused a n…

Uber Denounces Traffic Light Laws After Self-Driving Car Runs Red Light
medium.com · 2016

Uber Denounces Traffic Light Laws After Self-Driving Car Runs Red Light

Halting Problem Blocked Unblock Follow Following Dec 23, 2016

SOMA, SAN FRANCISCO — Uber isn’t exactly known for following the rules. The ride-sharing company recently …

A self-driving Uber ran a red light last December, contrary to company claims
theverge.com · 2017

Last December, a self-driving Uber was caught on camera running a red light in San Francisco, shortly after the vehicles began testing on the roads. While Uber claimed at the time that a driver was at fault, a report from The New York Times…

Report contradicts Uber's explanation of robocar red light slip
cnet.com · 2017

James Martin/CNET

Call it another pothole for Uber.

Remember that taxicab dash-cam video of an Uber robocar running a red light in San Francisco last December? (It's embedded below.) Uber -- which had put the self-driving cars on the street…

Uber’s Self-Driving Cars Missed Six Red Lights In San Francisco
fortune.com · 2017

Continuing a week-plus of embarrassments and bad news for Uber, the New York Times on Friday reported that traffic violations by the company’s self-driving cars were caused by problems with the cars’ mapping programs, and not, as the compan…

Uber's Autonomous Vehicles Responsible For Red Light Violations, Not "Human Error"
thedrive.com · 2017

Despite statements to the press that "human error" was to blame for its vehicles running a series of red lights in San Francisco, the company admitted internally that it was the car that was in autonomous mode when it failed to stop at the …

Investigation: Uber red light-running car was fault of technology, not driver
sfexaminer.com · 2017

A taxi’s dashcam caught this self-driving car running a red light on Third Street in December. Uber originally said a human was driving. (Courtesy photo)

Uber told reporters that a self-driving car shown on video running a red light in San …

Danger, danger! 10 alarming examples of AI gone wild
infoworld.com · 2017

Science fiction is lousy with tales of artificial intelligence run amok. There's HAL 9000, of course, and the nefarious Skynet system from the "Terminator" films. Last year, the sinister AI Ultron came this close to defeating the Avengers, …

バリアント

「バリアント」は既存のAIインシデントと同じ原因要素を共有し、同様な被害を引き起こし、同じ知的システムを含んだインシデントです。バリアントは完全に独立したインシデントとしてインデックスするのではなく、データベースに最初に投稿された同様なインシデントの元にインシデントのバリエーションとして一覧します。インシデントデータベースの他の投稿タイプとは違い、バリアントではインシデントデータベース以外の根拠のレポートは要求されません。詳細についてはこの研究論文を参照してください

よく似たインシデント

テキスト類似度による

Did our AI mess up? Flag the unrelated incidents

Google admits its self driving car got it wrong: Bus crash was caused by software

Google admits its self driving car got it wrong: Bus crash was caused by software

Sep 2016 · 28 レポート
A Collection of Tesla Autopilot-Involved Crashes

Tesla Model X in Autopilot Killed a Driver. Officials Aren’t Pleased With How Tesla Handled It.

Jun 2016 · 22 レポート
Uber AV Killed Pedestrian in Arizona

Tempe police release report, audio, photo

Mar 2018 · 25 レポート
前のインシデント次のインシデント

よく似たインシデント

テキスト類似度による

Did our AI mess up? Flag the unrelated incidents

Google admits its self driving car got it wrong: Bus crash was caused by software

Google admits its self driving car got it wrong: Bus crash was caused by software

Sep 2016 · 28 レポート
A Collection of Tesla Autopilot-Involved Crashes

Tesla Model X in Autopilot Killed a Driver. Officials Aren’t Pleased With How Tesla Handled It.

Jun 2016 · 22 レポート
Uber AV Killed Pedestrian in Arizona

Tempe police release report, audio, photo

Mar 2018 · 25 レポート

リサーチ

  • “AIインシデント”の定義
  • “AIインシデントレスポンス”の定義
  • データベースのロードマップ
  • 関連研究
  • 全データベースのダウンロード

プロジェクトとコミュニティ

  • AIIDについて
  • コンタクトとフォロー
  • アプリと要約
  • エディタのためのガイド

インシデント

  • 全インシデントの一覧
  • フラグの立ったインシデント
  • 登録待ち一覧
  • クラスごとの表示
  • 分類法

2024 - AI Incident Database

  • 利用規約
  • プライバシーポリシー
  • Open twitterOpen githubOpen rssOpen facebookOpen linkedin
  • ecd56df