Advancements and innovations in requirements elicitation: Developing a comprehensive conceptual model
Requirements elicitation is a crucial phase in the software development lifecycle, ensuring
that stakeholders' needs are understood and translated into system specifications …
that stakeholders' needs are understood and translated into system specifications …
[HTML][HTML] Methodological and quality flaws in the use of artificial intelligence in mental health research: systematic review
R Tornero-Costa, A Martinez-Millana… - JMIR Mental …, 2023 - mental.jmir.org
Background: Artificial intelligence (AI) is giving rise to a revolution in medicine and health
care. Mental health conditions are highly prevalent in many countries, and the COVID-19 …
care. Mental health conditions are highly prevalent in many countries, and the COVID-19 …
Data cards: Purposeful and transparent dataset documentation for responsible ai
As research and industry moves towards large-scale models capable of numerous
downstream tasks, the complexity of understanding multi-modal datasets that give nuance to …
downstream tasks, the complexity of understanding multi-modal datasets that give nuance to …
Algorithmic management in a work context
The rapid development of machine-learning algorithms, which underpin contemporary
artificial intelligence systems, has created new opportunities for the automation of work …
artificial intelligence systems, has created new opportunities for the automation of work …
Ethics-based auditing of automated decision-making systems: Nature, scope, and limitations
Important decisions that impact humans lives, livelihoods, and the natural environment are
increasingly being automated. Delegating tasks to so-called automated decision-making …
increasingly being automated. Delegating tasks to so-called automated decision-making …
Trustllm: Trustworthiness in large language models
Large language models (LLMs), exemplified by ChatGPT, have gained considerable
attention for their excellent natural language processing capabilities. Nonetheless, these …
attention for their excellent natural language processing capabilities. Nonetheless, these …
[PDF][PDF] Ai transparency in the age of llms: A human-centered research roadmap
QV Liao, JW Vaughan - arXiv preprint arXiv:2306.01941, 2023 - assets.pubpub.org
The rise of powerful large language models (LLMs) brings about tremendous opportunities
for innovation but also looming risks for individuals and society at large. We have reached a …
for innovation but also looming risks for individuals and society at large. We have reached a …
The role of explainable AI in the context of the AI Act
C Panigutti, R Hamon, I Hupont… - Proceedings of the …, 2023 - dl.acm.org
The proposed EU regulation for Artificial Intelligence (AI), the AI Act, has sparked some
debate about the role of explainable AI (XAI) in high-risk AI systems. Some argue that black …
debate about the role of explainable AI (XAI) in high-risk AI systems. Some argue that black …
Designing a feature selection method based on explainable artificial intelligence
J Zacharias, M von Zahn, J Chen, O Hinz - Electronic Markets, 2022 - Springer
Nowadays, artificial intelligence (AI) systems make predictions in numerous high stakes
domains, including credit-risk assessment and medical diagnostics. Consequently, AI …
domains, including credit-risk assessment and medical diagnostics. Consequently, AI …
Opportunities and challenges of ChatGPT for design knowledge management
Abstract Recent advancements in Natural Language Processing have opened up new
possibilities for the development of large language models like ChatGPT, which can …
possibilities for the development of large language models like ChatGPT, which can …