Description: A study by Indiana University researchers uncovered widespread misuse of large language models (LLMs) for cybercrime. Cybercriminals, according to that study, use LLMs like OpenAI's GPT-3.5 and GPT-4 to create malware, phishing scams, and scam websites. These models are available on underground markets, often bypassing safety checks through jailbreaking. Named malicious LLMs are BadGPT, XXXGPT, Evil-GPT, WormGPT, FraudGPT, BLACKHATGPT, EscapeGPT, DarkGPT, and WolfGPT.
Alleged: OpenAI developed an AI system deployed by Cybercriminals , BadGPT , XXXGPT , Evil-GPT , WormGPT , FraudGPT , BLACKHATGPT , EscapeGPT , DarkGPT と WolfGPT, which harmed internet users , Organizations と Individuals targeted by malware.
インシデントのステータス
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
4.3. Fraud, scams, and targeted manipulation
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
Human
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
Despite the hype around them, readers of Tech Policy Press are well aware that the advance of large language models (LLMs) and their various applications-- ranging from chatbots and coding assistants to recommendation systems-- has raised v…
The internet, a vast and indispensable resource for modern society, has a darker side where malicious activities thrive.
From identity theft to sophisticated malware attacks, cyber criminals keep coming up with new scam methods.
Widely avai…
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
Did our AI mess up? Flag the unrelated incidents
よく似たインシデント
Did our AI mess up? Flag the unrelated incidents