Search Results for author: Meredith Ringel Morris

Found 14 papers, 4 papers with code

AI and Accessibility: A Discussion of Ethical Considerations

no code implementations21 Aug 2019 Meredith Ringel Morris

According to the World Health Organization, more than one billion people worldwide have disabilities.

speech-recognition Speech Recognition +1

Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective

1 code implementation22 Aug 2019 Danielle Bragg, Oscar Koller, Mary Bellard, Larwan Berke, Patrick Boudrealt, Annelies Braffort, Naomi Caselli, Matt Huenerfauth, Hernisa Kacorri, Tessa Verhoef, Christian Vogler, Meredith Ringel Morris

Developing successful sign language recognition, generation, and translation systems requires expertise in a wide range of fields, including computer vision, computer graphics, natural language processing, human-computer interaction, linguistics, and Deaf culture.

Cultural Vocal Bursts Intensity Prediction Sign Language Recognition +1

Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs

no code implementations10 Mar 2021 Solon Barocas, Anhong Guo, Ece Kamar, Jacquelyn Krones, Meredith Ringel Morris, Jennifer Wortman Vaughan, Duncan Wadsworth, Hanna Wallach

Disaggregated evaluations of AI systems, in which system performance is assessed and reported separately for different groups of people, are conceptually simple.

Context-Aware Abbreviation Expansion Using Large Language Models

no code implementations NAACL 2022 Shanqing Cai, Subhashini Venugopalan, Katrin Tomanek, Ajit Narayanan, Meredith Ringel Morris, Michael P. Brenner

Motivated by the need for accelerating text entry in augmentative and alternative communication (AAC) for people with severe motor impairments, we propose a paradigm in which phrases are abbreviated aggressively as primarily word-initial letters.

Scientists' Perspectives on the Potential for Generative AI in their Fields

no code implementations4 Apr 2023 Meredith Ringel Morris

Generative AI models, including large language models and multimodal models that include text and other media, are on the cusp of transforming many aspects of modern life, including entertainment, education, civic life, the arts, and a range of professions.

Generative Agents: Interactive Simulacra of Human Behavior

7 code implementations7 Apr 2023 Joon Sung Park, Joseph C. O'Brien, Carrie J. Cai, Meredith Ringel Morris, Percy Liang, Michael S. Bernstein

Believable proxies of human behavior can empower interactive applications ranging from immersive environments to rehearsal spaces for interpersonal communication to prototyping tools.

Language Modelling Large Language Model

The Design Space of Generative Models

no code implementations15 Apr 2023 Meredith Ringel Morris, Carrie J. Cai, Jess Holbrook, Chinmay Kulkarni, Michael Terry

Card et al.'s classic paper "The Design Space of Input Devices" established the value of design spaces as a tool for HCI analysis and invention.

Levels of AGI: Operationalizing Progress on the Path to AGI

no code implementations4 Nov 2023 Meredith Ringel Morris, Jascha Sohl-Dickstein, Noah Fiedel, Tris Warkentin, Allan Dafoe, Aleksandra Faust, Clement Farabet, Shane Legg

With these principles in mind, we propose 'Levels of AGI' based on depth (performance) and breadth (generality) of capabilities, and reflect on how current systems fit into this ontology.

Autonomous Driving

Using Large Language Models to Accelerate Communication for Users with Severe Motor Impairments

no code implementations3 Dec 2023 Shanqing Cai, Subhashini Venugopalan, Katie Seaver, Xiang Xiao, Katrin Tomanek, Sri Jalasutram, Meredith Ringel Morris, Shaun Kane, Ajit Narayanan, Robert L. MacDonald, Emily Kornman, Daniel Vance, Blair Casey, Steve M. Gleason, Philip Q. Nelson, Michael P. Brenner

A pilot study with 19 non-AAC participants typing on a mobile device by hand demonstrated gains in motor savings in line with the offline simulation, while introducing relatively small effects on overall typing speed.

Generative Ghosts: Anticipating Benefits and Risks of AI Afterlives

no code implementations14 Jan 2024 Meredith Ringel Morris, Jed R. Brubaker

As AI systems quickly improve in both breadth and depth of performance, they lend themselves to creating increasingly powerful and realistic agents, including the possibility of agents modeled on specific people.

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