output
20122025
most citedDeep Reinforcement Learning that Matters

345 citations

Showing 2022Show all

5 papers · 1 filter

cs.CL2022★ 122 cited

GPT-3-driven pedagogical agents for training children's curious question-asking skills

Rania Abdelghani, Yen-Hsiang Wang, Xingdi Yuan +4

In order to train children's ability to ask curiosity-driven questions, previous research has explored designing specific exercises relying on providing semantic and linguistic cue…

cs.HC2022★ 40 cited

Seamful XAI: Operationalizing Seamful Design in Explainable AI

Upol Ehsan, Q. Vera Liao, Samir Passi +2

Mistakes in AI systems are inevitable, arising from both technical limitations and sociotechnical gaps. While black-boxing AI systems can make the user experience seamless, hiding…

cs.HC2022★ 111 cited

How Different Groups Prioritize Ethical Values for Responsible AI

Maurice Jakesch, Zana Buçinca, Saleema Amershi +1

Private companies, public sector organizations, and academic groups have outlined ethical values they consider important for responsible artificial intelligence technologies. While…

cs.HC2022★ 152 cited

Designing for Responsible Trust in AI Systems: A Communication Perspective

Q. Vera Liao, S. Shyam Sundar

Current literature and public discourse on "trust in AI" are often focused on the principles underlying trustworthy AI, with insufficient attention paid to how people develop trust…

cs.CR2022★ 13 cited

A TOCTOU Attack on DICE Attestation

Stefan Hristozov, Moritz Wettermann, Manuel Huber

A major security challenge for modern Internet of Things (IoT) deployments is to ensure that the devices run legitimate firmware free from malware. This challenge can be addressed…