Taxonomy of risks posed by language models

L Weidinger, J Uesato, M Rauh, C Griffin… - Proceedings of the …, 2022‏ - dl.acm.org
Responsible innovation on large-scale Language Models (LMs) requires foresight into and
in-depth understanding of the risks these models may pose. This paper develops a …

Trustworthy ai: A computational perspective

H Liu, Y Wang, W Fan, X Liu, Y Li, S Jain, Y Liu… - ACM Transactions on …, 2022‏ - dl.acm.org
In the past few decades, artificial intelligence (AI) technology has experienced swift
developments, changing everyone's daily life and profoundly altering the course of human …

Gender bias in machine translation

B Savoldi, M Gaido, L Bentivogli, M Negri… - Transactions of the …, 2021‏ - direct.mit.edu
Abstract Machine translation (MT) technology has facilitated our daily tasks by providing
accessible shortcuts for gathering, processing, and communicating information. However, it …

The importance of modeling social factors of language: Theory and practice

D Hovy, D Yang - Proceedings of the 2021 Conference of the …, 2021‏ - aclanthology.org
Natural language processing (NLP) applications are now more powerful and ubiquitous
than ever before. With rapidly develo** (neural) models and ever-more available data …

Is technology gender neutral? A systematic literature review on gender stereotypes attached to artificial intelligence

MV Craiut, IR Iancu - Human Technology, 2022‏ - ht.csr-pub.eu
Artificial Intelligence implies computer systems capable of mimicking human-like intelligence
and competencies. In the nowadays society it is an exciting topic, thus, technology's gender …

Demystifying ChatGPT: An in-depth survey of OpenAI's robust large language models

P Bhattacharya, VK Prasad, A Verma, D Gupta… - … Methods in Engineering, 2024‏ - Springer
Recent advancements in natural language processing (NLP) have catalyzed the
development of models capable of generating coherent and contextually relevant …

Characteristics of harmful text: Towards rigorous benchmarking of language models

M Rauh, J Mellor, J Uesato, PS Huang… - Advances in …, 2022‏ - proceedings.neurips.cc
Large language models produce human-like text that drive a growing number of
applications. However, recent literature and, increasingly, real world observations, have …

Alexa, Google, Siri: What are your pronouns? Gender and anthropomorphism in the design and perception of conversational assistants

G Abercrombie, AC Curry, M Pandya… - arxiv preprint arxiv …, 2021‏ - arxiv.org
Technology companies have produced varied responses to concerns about the effects of the
design of their conversational AI systems. Some have claimed that their voice assistants are …

Creating inclusive voices for the 21st century: A non-binary text-to-speech for conversational assistants

A Danielescu, SA Horowit-Hendler, A Pabst… - Proceedings of the …, 2023‏ - dl.acm.org
As voice assistant usage continues to grow, their homogeneity becomes even more
problematic with the UNESCO report,“I'd Blush if I could” showing that designing only …

Designing for Harm Reduction: Communication Repair for Multicultural Users' Voice Interactions

K Wenzel, G Kaufman - Proceedings of the 2024 CHI Conference on …, 2024‏ - dl.acm.org
Voice assistants' inability to serve people-of-color and non-native English speakers has
largely been documented as a quality-of-service harm. However, little work has investigated …