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From Melting Pots to Misrepresentations: Exploring Harms in Generative AI
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).
The Sentiment Problem: A Critical Survey towards Deconstructing Sentiment Analysis
We conduct an inquiry into the sociotechnical aspects of sentiment analysis (SA) by critically examining 189 peer-reviewed papers on their applications, models, and datasets.
Unmasking Nationality Bias: A Study of Human Perception of Nationalities in AI-Generated Articles
We investigate the potential for nationality biases in natural language processing (NLP) models using human evaluation methods.
Nationality Bias in Text Generation
Little attention is placed on analyzing nationality bias in language models, especially when nationality is highly used as a factor in increasing the performance of social NLP models.
