A study of UX practitioners roles in designing real-world, enterprise ML systems

Author:

Zdanowska Sabah1,Taylor Alex S1

Affiliation:

1. Centre for HCI Design, City, University of London, United Kingdom

Publisher

ACM

Reference75 articles.

1. McKinsey Global Institute 2018. 2018. Notes from the AI Frontier: Modeling the Global Economic Impact of AI. https://www.mckinsey.com/featured-insights/artificial-intelligence/notes-from-the-ai-frontier-modeling-the-impact-of-ai-on-the-world-economy McKinsey Global Institute 2018. 2018. Notes from the AI Frontier: Modeling the Global Economic Impact of AI. https://www.mckinsey.com/featured-insights/artificial-intelligence/notes-from-the-ai-frontier-modeling-the-impact-of-ai-on-the-world-economy

2. Behnoush Abdollahi and Olfa Nasraoui . 2018. Transparency in Fair Machine Learning: the Case of Explainable Recommender Systems . In Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent . Springer International Publishing , Cham , 21–35. https://doi.org/10.1007/978-3-319-90403-0_2 Behnoush Abdollahi and Olfa Nasraoui. 2018. Transparency in Fair Machine Learning: the Case of Explainable Recommender Systems. In Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent. Springer International Publishing, Cham, 21–35. https://doi.org/10.1007/978-3-319-90403-0_2

3. Ashraf Abdul , Jo Vermeulen , Danding Wang , Brian  Y. Lim , and Mohan Kankanhalli . 2018. Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda . Association for Computing Machinery , New York, NY, USA , 1–18. https://doi.org/10.1145/3173574.3174156 Ashraf Abdul, Jo Vermeulen, Danding Wang, Brian Y. Lim, and Mohan Kankanhalli. 2018. Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda. Association for Computing Machinery, New York, NY, USA, 1–18. https://doi.org/10.1145/3173574.3174156

4. Saleema Amershi , Dan Weld , Mihaela Vorvoreanu , Adam Fourney , Besmira Nushi , Penny Collisson , Jina Suh , Shamsi Iqbal , Paul  N. Bennett , Kori Inkpen , Jaime Teevan , Ruth Kikin-Gil , and Eric Horvitz . 2019. Guidelines for Human-AI Interaction . Association for Computing Machinery , New York, NY, USA , 1–13. https://doi.org/10.1145/3290605.3300233 Saleema Amershi, Dan Weld, Mihaela Vorvoreanu, Adam Fourney, Besmira Nushi, Penny Collisson, Jina Suh, Shamsi Iqbal, Paul N. Bennett, Kori Inkpen, Jaime Teevan, Ruth Kikin-Gil, and Eric Horvitz. 2019. Guidelines for Human-AI Interaction. Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3290605.3300233

5. Megha  P. Arakeri , N.S. Keerthana , M. Madhura , Anusha Sankar , and Tazeen Munnavar . 2018 . Assistive Technology for the Visually Impaired Using Computer Vision. In 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE , New York, NY, 1725–1730. https://doi.org/10.1109/ICACCI. 2018.8554625 Megha P. Arakeri, N.S. Keerthana, M. Madhura, Anusha Sankar, and Tazeen Munnavar. 2018. Assistive Technology for the Visually Impaired Using Computer Vision. In 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE, New York, NY, 1725–1730. https://doi.org/10.1109/ICACCI.2018.8554625

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Preparing humane ML experts for a better future. Experiments with design and engineering students;Journal of Entrepreneurial Researchers;2024-07-09

2. The Future of HCI Machine Learning, Personalization, and Beyond;Advances in Computer and Electrical Engineering;2024-06-21

3. Towards a Non-Ideal Methodological Framework for Responsible ML;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

4. Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for Industry Teams;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

5. Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3