168 citations · 278 across the 7 of their papers we have counts for
7 papers
Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image Development
Shalaleh Rismani, Renee Shelby, Andrew Smart +3
Identifying potential social and ethical risks in emerging machine learning (ML) models and their applications remains challenging. In this work, we applied two well-established sa…
Safety and Fairness for Content Moderation in Generative Models
Susan Hao, Piyush Kumar, Sarah Laszlo +3
With significant advances in generative AI, new technologies are rapidly being deployed with generative components. Generative models are typically trained on large datasets, resul…
AI's Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia
Rida Qadri, Renee Shelby, Cynthia L. Bennett +1
This paper presents a community-centered study of cultural limitations of text-to-image (T2I) models in the South Asian context. We theorize these failures using scholarship on dom…
PaLM 2 Technical Report
Rohan Anil, Andrew M. Dai, Orhan Firat +125
We introduce PaLM 2, a new state-of-the-art language model that has better multilingual and reasoning capabilities and is more compute-efficient than its predecessor PaLM. PaLM 2 i…
From plane crashes to algorithmic harm: applicability of safety engineering frameworks for responsible ML
Shalaleh Rismani, Renee Shelby, Andrew Smart +4
Inappropriate design and deployment of machine learning (ML) systems leads to negative downstream social and ethical impact -- described here as social and ethical risks -- for use…
Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction
Renee Shelby, Shalaleh Rismani, Kathryn Henne +8
Understanding the landscape of potential harms from algorithmic systems enables practitioners to better anticipate consequences of the systems they build. It also supports the pros…
Terms-we-Serve-with: a feminist-inspired social imaginary for improved transparency and engagement in AI
Bogdana Rakova, Megan Ma, Renee Shelby
Power and information asymmetries between people and digital technology companies have predominantly been legitimized through contractual agreements that have failed to provide div…