From Melting Pots to Misrepresentations: Exploring Harms in Generative
  AI
Sanjana Gautam Pranav Narayanan Venkit Sourojit Ghosh
With the widespread adoption of advanced generative models such as Gemini and
GPT, there has been a notable increase in the incorporation of such models into
sociotechnical systems, categorized under AI-as-a-Service (AIaaS). Despite
their versatility across diverse sectors, concerns persist regarding
discriminatory tendencies within these models, particularly favoring selected
`majority' demographics across various sociodemographic dimensions. Despite
widespread calls for diversification of media representations, marginalized
racial and ethnic groups continue to face persistent distortion, stereotyping,
and neglect within the AIaaS context. In this work, we provide a critical
summary of the state of research in the context of social harms to lead the
conversation to focus on their implications. We also present open-ended
research questions, guided by our discussion, to help define future research
pathways.