paper-with-me

홈 › Papers

Walking the Walk of AI Ethics: Organizational Challenges and the Individualization of Risk among Ethics Entrepreneurs

2023-05-16 · Sanna J. Ali, Angèle Christin, Andrew Smart, Riitta Katila

Amidst decline in public trust in technology, computing ethics have taken center stage, and critics have raised questions about corporate ethics washing. Yet few studies examine the actual implementation of AI ethics values in technology companies. Based on a qualitative analysis of technology workers tasked with integrating AI ethics into product development, we find that workers experience an environment where policies, practices, and outcomes are decoupled. We analyze AI ethics workers as ethics entrepreneurs who work to institutionalize new ethics-related practices within organizations. We show that ethics entrepreneurs face three major barriers to their work. First, they struggle to have ethics prioritized in an environment centered around software product launches. Second, ethics are difficult to quantify in a context where company goals are incentivized by metrics. Third, the frequent reorganization of teams makes it difficult to access knowledge and maintain relationships central to their work. Consequently, individuals take on great personal risk when raising ethics issues, especially when they come from marginalized backgrounds. These findings shed light on complex dynamics of institutional change at technology companies.

📄 PDF Abstract BibTeX arXiv:2305.09573

Code (0)

등록된 구현이 없습니다.

Tasks

Ethics

Similar Papers 제목 키워드 기반

Accelerometer-Based Gait Segmentation: Simultaneously User and Adversary Identification

2019-10-11 · Yujia Ding, Weiqing Gu

In this paper, we introduce a new gait segmentation method based on accelerometer data and develop a new distance function between two time series, showing novel and effectiveness in simultaneously identifying user and a…

Binary ClassificationGeneral ClassificationSmall Data Image ClassificationTime Series+1

Walking for short distances and turning in lower-limb amputees: a study in low-cost prosthesis users

2019-09-06 · Nidhi Seethapathi, Anil Kumar Jain, Manoj Srinivasan

Preferred walking speed is a widely-used performance measure for people with mobility issues, but is usually measured in straight line walking for fixed distances or durations. However, daily walking involves walking for…

Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots

2021-03-26 · Zhongyu Li, Xuxin Cheng, Xue Bin Peng, Pieter Abbeel 외

Developing robust walking controllers for bipedal robots is a challenging endeavor. Traditional model-based locomotion controllers require simplifying assumptions and careful modelling; any small errors can result in uns…

reinforcement-learningReinforcement LearningReinforcement Learning (RL)

Validation of gait characteristics extracted from raw accelerometry during walking against measures of physical function, mobility, fatigability, and fitness

2017-11-16

Background. Wearable accelerometry devices allow collection of high-density activity data in large epidemiological studies both in-the-lab as well as in-the-wild (free-living). Such data can be used to detect and identif…

Modeling Large-Scale Walking and Cycling Networks: A Machine Learning Approach Using Mobile Phone and Crowdsourced Data

2024-03-29 · Meead Saberi, Tanapon Lilasathapornkit

Walking and cycling are known to bring substantial health, environmental, and economic advantages. However, the development of evidence-based active transportation planning and policies has been impeded by significant da…