All one needs to know about metaverse: A complete survey on technological singularity, virtual ecosystem, and research agenda
Since the popularisation of the Internet in the 1990s, the cyberspace has kept evolving. We
have created various computer-mediated virtual environments, including social networks …
have created various computer-mediated virtual environments, including social networks …
The future of artificial intelligence at work: A review on effects of decision automation and augmentation on workers targeted by algorithms and third-party observers
Advances in artificial intelligence are increasingly leading to the automation and
augmentation of decision processes in work contexts. Although research originally generally …
augmentation of decision processes in work contexts. Although research originally generally …
What do we want from Explainable Artificial Intelligence (XAI)?–A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research
Abstract Previous research in Explainable Artificial Intelligence (XAI) suggests that a main
aim of explainability approaches is to satisfy specific interests, goals, expectations, needs …
aim of explainability approaches is to satisfy specific interests, goals, expectations, needs …
[HTML][HTML] Artificial intelligence versus Maya Angelou: Experimental evidence that people cannot differentiate AI-generated from human-written poetry
N Köbis, LD Mossink - Computers in human behavior, 2021 - Elsevier
The release of openly available, robust natural language generation algorithms (NLG) has
spurred much public attention and debate. One reason lies in the algorithms' purported …
spurred much public attention and debate. One reason lies in the algorithms' purported …
Fairness perceptions of algorithmic decision-making: A systematic review of the empirical literature
Algorithmic decision-making increasingly shapes people's daily lives. Given that such
autonomous systems can cause severe harm to individuals and social groups, fairness …
autonomous systems can cause severe harm to individuals and social groups, fairness …
Exploring how machine learning practitioners (try to) use fairness toolkits
Recent years have seen the development of many open-source ML fairness toolkits aimed
at hel** ML practitioners assess and address unfairness in their systems. However, there …
at hel** ML practitioners assess and address unfairness in their systems. However, there …
The who in explainable ai: How ai background shapes perceptions of ai explanations
UPOL EHSAN, Georgia Institute of Technology, USA SAMIR PASSI, Cornell University, USA
Q. VERA LIAO, IBM Research AI, USA LARRY CHAN, Georgia Institute of Technology, USA I …
Q. VERA LIAO, IBM Research AI, USA LARRY CHAN, Georgia Institute of Technology, USA I …
[PDF][PDF] Overreliance on AI literature review
This report synthesizes~ 60 research papers about overreliance on AI. The papers originate
from a variety of disciplines, including Human-Computer Interaction (HCI); Human Factors; …
from a variety of disciplines, including Human-Computer Interaction (HCI); Human Factors; …
Disentangling fairness perceptions in algorithmic decision-making: the effects of explanations, human oversight, and contestability
Recent research claims that information cues and system attributes of algorithmic decision-
making processes affect decision subjects' fairness perceptions. However, little is still known …
making processes affect decision subjects' fairness perceptions. However, little is still known …
” Because AI is 100% right and safe”: User attitudes and sources of AI authority in India
Most prior work on human-AI interaction is set in communities that indicate skepticism
towards AI, but we know less about contexts where AI is viewed as aspirational. We …
towards AI, but we know less about contexts where AI is viewed as aspirational. We …