インシデント 78の引用情報

Description: In response to the Covid-19 pandemic, the International Baccalaureate final exams were replaced by a calculated score, prompting complaints of unfairness from teachers and students.
推定: International Baccalauretteが開発し提供したAIシステムで、International Baccalaureate students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
78
レポート数
1
インシデント発生日
2020-07-06
エディタ
Sean McGregor, Khoa Lam

CSETv0 分類法のクラス

分類法の詳細

Full Description

In response to the Covid-19 pandemic, the foundation that grants the International Baccalaureate high school diploma decided to replace students' 2020 year-end exam scores with a calculated grade. The International Baccalaureate foundation used students’ prior grades and school to develop a statistical model to generate estimated test scores for each student. In several cases these grades were lower than students and teachers were expecting, which may impact their college admission or scholarship.

Short Description

In response to the Covid-19 pandemic, the International Baccalaureate final exams were replaced by a calculated score, prompting complaints of unfairness from teachers and students.

Severity

Minor

Harm Distribution Basis

Other:School attended

Harm Type

Harm to social or political systems

AI System Description

In 2020, International Baccalaureate developed a statistical model to calculate students' projected final exam grades.

System Developer

International Baccalaurette

Sector of Deployment

Education

Relevant AI functions

Cognition

AI Techniques

machine learning

AI Applications

statistical projection

Location

Global

Named Entities

International Baccalaureate

Technology Purveyor

International Baccalaureate

Beginning Date

2020-01-01T00:00:00.000Z

Ending Date

2020-01-01T00:00:00.000Z

Near Miss

Harm caused

Intent

Accident

Lives Lost

No

Data Inputs

Prior test and exam grades, school attended

インシデントレポート

レポートタイムライン

wired.com · 2020

EIGHTEEN-YEAR-OLD ANAHITA NAGPAL fears her plans to start training this fall to be a doctor have been derailed by a statistical model.

Nagpal, who lives in Göttingen, Germany, had been offered a premed place and scholarship at NYU. Her acce…

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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