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インシデント 220: Facebook Mistakenly Blocked Small Business Ads

概要: Facebook’s AI mistakenly blocked advertisements by small and struggling businesses, after the company allegedly leaned more on algorithms to monitor ads on the platform with little review from human moderators.

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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: Facebookが開発し提供したAIシステムで、small businesses on Facebook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
220
レポート数
4
インシデント発生日
2020-11-11
エディタ
Khoa Lam
Applied Taxonomies
CSETv1, GMF, MIT

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.
 

220

Notes (special interest intangible harm)

Input any notes that may help explain your answers.
 

Primarily small to medium-sized business owners were affected.

Special Interest Intangible Harm

An assessment of whether a special interest intangible harm occurred. This assessment does not consider the context of the intangible harm, if an AI was involved, or if there is characterizable class or subgroup of harmed entities. It is also not assessing if an intangible harm occurred. It is only asking if a special interest intangible harm occurred.
 

maybe

Date of Incident Year

The year in which the incident occurred. If there are multiple harms or occurrences of the incident, list the earliest. If a precise date is unavailable, but the available sources provide a basis for estimating the year, estimate. Otherwise, leave blank. Enter in the format of YYYY
 

2020

Date of Incident Month

The month in which the incident occurred. If there are multiple harms or occurrences of the incident, list the earliest. If a precise date is unavailable, but the available sources provide a basis for estimating the month, estimate. Otherwise, leave blank. Enter in the format of MM
 

11

Date of Incident Day

The day on which the incident occurred. If a precise date is unavailable, leave blank. Enter in the format of DD
 

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 OccurrenceFacebook's AI-fueled attempt to block bad ads is hurting legitimate small business owners — and its 'pay-to-play' customer support is leaving them stranded ahead of the holiday shopping season+2
Facebook’s AI mistakenly blocks ads of struggling businesses; tech giant issues apology
Facebook's AI-fueled attempt to block bad ads is hurting legitimate small business owners — and its 'pay-to-play' customer support is leaving them stranded ahead of the holiday shopping season

Facebook's AI-fueled attempt to block bad ads is hurting legitimate small business owners — and its 'pay-to-play' customer support is leaving them stranded ahead of the holiday shopping season

businessinsider.com

Facebook’s AI mistakenly blocks ads of struggling businesses; tech giant issues apology

Facebook’s AI mistakenly blocks ads of struggling businesses; tech giant issues apology

republicworld.com

Facebook's AI mistakenly bans ads for struggling businesses

Facebook's AI mistakenly bans ads for struggling businesses

post-gazette.com

Facebook’s AI is mistakenly banning some small business’ ads

Facebook’s AI is mistakenly banning some small business’ ads

fortune.com

Facebook's AI-fueled attempt to block bad ads is hurting legitimate small business owners — and its 'pay-to-play' customer support is leaving them stranded ahead of the holiday shopping season
businessinsider.com · 2020

In mid-March, even as it encouraged its full-time employees to work remotely, Facebook's largely contract-based content moderators were still required to be in the office. Amid public pressure, Facebook eventually sent them home as well, sa…

Facebook’s AI mistakenly blocks ads of struggling businesses; tech giant issues apology
republicworld.com · 2020

Facebook Inc. recently issued a statement apologizing to small businesses for mistakenly blocking their ads. In a bid to curb ‘infodemics’ or misinformation and keep a check on policy violators, the company has appointed Artificial Intellig…

Facebook's AI mistakenly bans ads for struggling businesses
post-gazette.com · 2020

New York-based businesswoman Ruth Harrigan usually sells her honey and beeswax products in souvenir shops. But with COVID-19 pausing tourism, she’s been almost entirely dependent on Facebook ads to drive online sales.

On Nov. 11, this new f…

Facebook’s AI is mistakenly banning some small business’ ads
fortune.com · 2020

New York-based businesswoman Ruth Harrigan usually sells her honey and beeswax products in souvenir shops. But with Covid-19 pausing tourism, she’s been almost entirely dependent on Facebook ads to drive online sales. On Nov. 11, this new f…

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
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