[图书][B] Algorithms, humans, and interactions: How do algorithms interact with people? Designing meaningful ai experiences

DD Shin - 2023 - books.google.com
Amidst the rampant use of algorithmization enabled by AI, the common theme of AI systems
is the human factor. Humans play an essential role in designing, developing, and …

[HTML][HTML] Generative adversarial networks–enabled human–artificial intelligence collaborative applications for creative and design industries: A systematic review of …

RT Hughes, L Zhu, T Bednarz - Frontiers in artificial intelligence, 2021 - frontiersin.org
The future of work and workplace is very much in flux. A vast amount has been written about
artificial intelligence (AI) and its impact on work, with much of it focused on automation and …

After-action review for AI (AAR/AI)

J Dodge, R Khanna, J Irvine, KH Lam, T Mai… - ACM Transactions on …, 2021 - dl.acm.org
Explainable AI is growing in importance as AI pervades modern society, but few have
studied how explainable AI can directly support people trying to assess an AI agent. Without …

The roles and modes of human interactions with automated machine learning systems

TT Khuat, DJ Kedziora, B Gabrys - arXiv preprint arXiv:2205.04139, 2022 - arxiv.org
As automated machine learning (AutoML) systems continue to progress in both
sophistication and performance, it becomes important to understand thehow'andwhy'of …

Selective explanations: Leveraging human input to align explainable ai

V Lai, Y Zhang, C Chen, QV Liao, C Tan - Proceedings of the ACM on …, 2023 - dl.acm.org
While a vast collection of explainable AI (XAI) algorithms has been developed in recent
years, they have been criticized for significant gaps with how humans produce and consume …

Artificial intelligence in music and performance: a subjective art-research inquiry

B Caramiaux, M Donnarumma - Handbook of Artificial Intelligence for …, 2021 - Springer
In many contemporary societies, the pervasiveness of technology is constantly expanding.
From communication to social networks, digital health and welfare services, every aspect of …

Modeling, replicating, and predicting human behavior: A survey

A Fuchs, A Passarella, M Conti - ACM Transactions on Autonomous and …, 2023 - dl.acm.org
Given the popular presupposition of human reasoning as the standard for learning and
decision making, there have been significant efforts and a growing trend in research to …

Addressing UX Practitioners' Challenges in Designing ML Applications: an Interactive Machine Learning Approach

KJK Feng, DW Mcdonald - … of the 28th International Conference on …, 2023 - dl.acm.org
UX practitioners face novel challenges when designing user interfaces for machine learning
(ML)-enabled applications. Interactive ML paradigms, like AutoML and interactive machine …

Public Health Calls for/with AI: An Ethnographic Perspective

A Ismail, D Thakkar, N Madhiwalla… - Proceedings of the ACM on …, 2023 - dl.acm.org
Artificial Intelligence (AI) based technologies are increasingly being integrated into public
sector programs to help with decision-support and effective distribution of constrained …

[HTML][HTML] Enlarging the model of the human at the heart of human-centered AI: A social self-determination model of AI system impact

WJ Bingley, SA Haslam, NK Steffens, N Gillespie… - New Ideas in …, 2023 - Elsevier
Increasing awareness of the harms that artificial intelligence (AI) systems can cause has
inspired a movement towards creating more human-centered AI (HCAI). One way in which …