Amplification of biases
Unequal treatment of individuals or groups by AI, often based on race, gender, or other sensitive characteristics, resulting in unfair outcomes and unfair representation of those groups.
"Current Frontier AI mdoels amplify existing biases within their training data and can be manipulated into providing potentially harmful responses, for example abusive language or discriminatory responses91,92. This is not limited to text generation but can be seen across all modalities of generative AI93. Training on large swathes of UK and US English internet content can mean that misogynistic, ageist, and white supremacist content is overrepresented in the training data94."(p. 23)
Other risks from Government Office for Science (2023) (19)
Discrimination
1.1 Unfair discrimination and misrepresentationInequality
6.2 Increased inequality and decline in employment qualityEnvironmental impacts
6.6 Environmental harmHarmful responses
1.2 Exposure to toxic contentLack of transparency and interpretability
7.4 Lack of transparency or interpretabilityIntellectual property rights
6.3 Economic and cultural devaluation of human effort