Understanding the landscape of potential harms from algorithmic systems enables practitioners to better anticipate consequences of the systems they build. It also supports the …
Public attention towards explainability of artificial intelligence (AI) systems has been rising in recent years to offer methodologies for human oversight. This has translated into the …
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 …
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 …
A large body of research has attempted to ensure that algorithmic systems adhere to notions of fairness and transparency. Increasingly, researchers have highlighted that mitigating …
This paper focuses on the opportunities and the ethical and societal risks posed by advanced AI assistants. We define advanced AI assistants as artificial agents with natural …
Momentum among practitioners has led to the development of practices to better identify and minimize sociotechnical harms (eg,[22, 53, 122, 131]). Alongside broader movements …
G Nicholas, A Bhatia - arXiv preprint arXiv:2306.07377, 2023 - arxiv.org
In recent years, large language models (eg, Open AI's GPT-4, Meta's LLaMa, Google's PaLM) have become the dominant approach for building AI systems to analyze and …
V Almeida, LS Mendes, D Doneda - IEEE Internet Computing, 2023 - ieeexplore.ieee.org
There is growing demand to frame artificial intelligence (AI) regulations to minimize the risks to public safety and preserve human rights while at the same time enabling a flexible and …