What is human-centered about human-centered AI? A map of the research landscape
T Capel, M Brereton - Proceedings of the 2023 CHI conference on …, 2023 - dl.acm.org
The application of Artificial Intelligence (AI) across a wide range of domains comes with both
high expectations of its benefits and dire predictions of misuse. While AI systems have …
high expectations of its benefits and dire predictions of misuse. While AI systems have …
Explainability and causability in digital pathology
The current move towards digital pathology enables pathologists to use artificial intelligence
(AI)‐based computer programmes for the advanced analysis of whole slide images …
(AI)‐based computer programmes for the advanced analysis of whole slide images …
[HTML][HTML] AI for life: Trends in artificial intelligence for biotechnology
Due to popular successes (eg, ChatGPT) Artificial Intelligence (AI) is on everyone's lips
today. When advances in biotechnology are combined with advances in AI unprecedented …
today. When advances in biotechnology are combined with advances in AI unprecedented …
[HTML][HTML] Ethical ChatGPT: Concerns, challenges, and commandments
Large language models, eg, Chat Generative Pre-Trained Transformer (also known as
ChatGPT), are currently contributing enormously to making artificial intelligence even more …
ChatGPT), are currently contributing enormously to making artificial intelligence even more …
Digital transformation in smart farm and forest operations needs human-centered AI: challenges and future directions
The main impetus for the global efforts toward the current digital transformation in almost all
areas of our daily lives is due to the great successes of artificial intelligence (AI), and in …
areas of our daily lives is due to the great successes of artificial intelligence (AI), and in …
[HTML][HTML] Beyond playful learning–Serious games for the human-centric digital transformation of production and a design process model
The digital transformation of production (“Industry 4.0”) has the potential to enormously
accelerate and improve the efficiency of manufacturing processes and value chains. But it …
accelerate and improve the efficiency of manufacturing processes and value chains. But it …
Who needs explanation and when? Juggling explainable AI and user epistemic uncertainty
In recent years, AI explainability (XAI) has received wide attention. Although XAI is expected
to play a positive role in decision-making and advice acceptance, various opposing effects …
to play a positive role in decision-making and advice acceptance, various opposing effects …
fAIlureNotes: Supporting Designers in Understanding the Limits of AI Models for Computer Vision Tasks
To design with AI models, user experience (UX) designers must assess the fit between the
model and user needs. Based on user research, they need to contextualize the model's …
model and user needs. Based on user research, they need to contextualize the model's …
[HTML][HTML] Do stakeholder needs differ?-Designing stakeholder-tailored Explainable Artificial Intelligence (XAI) interfaces
M Kim, S Kim, J Kim, TJ Song, Y Kim - International Journal of Human …, 2024 - Elsevier
Explainable AI (XAI) is increasingly being used in the healthcare domain. In health
management, clinicians and patients are critical stakeholders, requiring tailored XAI …
management, clinicians and patients are critical stakeholders, requiring tailored XAI …
[HTML][HTML] Cookie disclaimers: Dark patterns and lack of transparency
While cookie disclaimers on websites have been proposed to ensure that users make
informed decisions regarding consenting to data collection via cookies, such informed …
informed decisions regarding consenting to data collection via cookies, such informed …