708 citations · 1.2k across the 14 of their papers we have counts for
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Cultural Re-contextualization of Fairness Research in Language Technologies in India
Shaily Bhatt, Sunipa Dev, Partha Talukdar +2
Recent research has revealed undesirable biases in NLP data and models. However, these efforts largely focus on social disparities in the West, and are not directly portable to oth…
Cultural Incongruencies in Artificial Intelligence
Vinodkumar Prabhakaran, Rida Qadri, Ben Hutchinson
Artificial intelligence (AI) systems attempt to imitate human behavior. How well they do this imitation is often used to assess their utility and to attribute human-like (or artifi…
Underspecification in Scene Description-to-Depiction Tasks
Ben Hutchinson, Jason Baldridge, Vinodkumar Prabhakaran
Questions regarding implicitness, ambiguity and underspecification are crucial for understanding the task validity and ethical concerns of multimodal image+text systems, yet have r…
A Human Rights-Based Approach to Responsible AI
Vinodkumar Prabhakaran, Margaret Mitchell, Timnit Gebru +1
Research on fairness, accountability, transparency and ethics of AI-based interventions in society has gained much-needed momentum in recent years. However it lacks an explicit ali…
Power to the People? Opportunities and Challenges for Participatory AI
Abeba Birhane, William Isaac, Vinodkumar Prabhakaran +4
Participatory approaches to artificial intelligence (AI) and machine learning (ML) are gaining momentum: the increased attention comes partly with the view that participation opens…
Evaluation Gaps in Machine Learning Practice
Ben Hutchinson, Negar Rostamzadeh, Christina Greer +2
Forming a reliable judgement of a machine learning (ML) model's appropriateness for an application ecosystem is critical for its responsible use, and requires considering a broad r…