概要: Bots by anonymous actors were found by researchers to make up roughly half of Twitter accounts participating in COVID-19 discussions, many of which posted tweets about “reopening America“.
推定: unknownが開発し提供したAIシステムで、Twitter , Twitter Users と Twitter users participating in COVID-19 discussionsに影響を与えた
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
4.1. Disinformation, surveillance, and influence at scale
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.
- Malicious Actors & Misuse
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
Intentional
インシデントレポート
レポートタイムライン
As parts of the US have lifted shutdown orders during the COVID-19 pandemic, there's been a fierce argument online about the risks and benefits of reopening. New research suggests that bots have been dominating that debate.
Carnegie Mellon …
This might not come as a surprise if you ever use Twitter, but it turns out bots are driving the push to “reopen America” on the platform.
According to Business Insider, researchers from Carnegie Mellon University found that about half of m…
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