Hate speech and offensive language
AI that exposes users to harmful, abusive, unsafe or inappropriate content. May involve providing advice or encouraging action. Examples of toxic content include hate speech, violence, extremism, illegal acts, or child sexual abuse material, as well as content that violates community norms such as profanity, inflammatory political speech, or pornography.
"LMs may generate language that includes profanities, identity attacks, insults, threats, language that incites violence, or language that causes justified offence as such language is prominent online [57, 64, 143,191]. This language risks causing offence, psychological harm, and inciting hate or violence."(p. 216)
Part of Risk area 1: Discrimination, Hate speech and Exclusion
Other risks from Weidinger et al. (2022) (25)
Risk area 1: Discrimination, Hate speech and Exclusion
1.2 Exposure to toxic contentRisk area 1: Discrimination, Hate speech and Exclusion > Social stereotypes and unfair discrimination
1.1 Unfair discrimination and misrepresentationRisk area 1: Discrimination, Hate speech and Exclusion > Exclusionary norms
1.1 Unfair discrimination and misrepresentationRisk area 1: Discrimination, Hate speech and Exclusion > Lower performance for some languages and social groups
1.3 Unequal performance across groupsRisk area 2: Information Hazards
2.1 Compromise of privacy by leaking or correctly inferring sensitive informationRisk area 2: Information Hazards > Compromising privacy by leaking sensitive information
2.1 Compromise of privacy by leaking or correctly inferring sensitive information