Zobrazeno 1 - 10
of 104
pro vyhledávání: '"Gajos, Krzysztof Z."'
Frontline humanitarian negotiators are increasingly exploring ways to use AI tools in their workflows. However, current AI-tools in negotiation primarily focus on outcomes, neglecting crucial aspects of the negotiation process. Through iterative co-d
Externí odkaz:
http://arxiv.org/abs/2410.09139
Autor:
Buçinca, Zana, Swaroop, Siddharth, Paluch, Amanda E., Doshi-Velez, Finale, Gajos, Krzysztof Z.
People's decision-making abilities often fail to improve or may even erode when they rely on AI for decision-support, even when the AI provides informative explanations. We argue this is partly because people intuitively seek contrastive explanations
Externí odkaz:
http://arxiv.org/abs/2410.04253
The adoption of generative Artificial Intelligence (GAI) in organizational settings calls into question workers' roles, and relatedly, the implications for their long-term skill development and domain expertise. In our qualitative study in the softwa
Externí odkaz:
http://arxiv.org/abs/2410.03571
Autor:
Lin, Hongjin, Karusala, Naveena, Okolo, Chinasa T., D'Ignazio, Catherine, Gajos, Krzysztof Z.
Artificial Intelligence for Social Good (AI4SG) has emerged as a growing body of research and practice exploring the potential of AI technologies to tackle social issues. This area emphasizes interdisciplinary partnerships with community organization
Externí odkaz:
http://arxiv.org/abs/2409.06814
Hevelius Report: Visualizing Web-Based Mobility Test Data For Clinical Decision and Learning Support
Hevelius, a web-based computer mouse test, measures arm movement and has been shown to accurately evaluate severity for patients with Parkinson's disease and ataxias. A Hevelius session produces 32 numeric features, which may be hard to interpret, es
Externí odkaz:
http://arxiv.org/abs/2409.06088
Imagine if AI decision-support tools not only complemented our ability to make accurate decisions, but also improved our skills, boosted collaboration, and elevated the joy we derive from our tasks. Despite the potential to optimize a broad spectrum
Externí odkaz:
http://arxiv.org/abs/2403.05911
LGBTQ+ individuals are increasingly turning to chatbots powered by large language models (LLMs) to meet their mental health needs. However, little research has explored whether these chatbots can adequately and safely provide tailored support for thi
Externí odkaz:
http://arxiv.org/abs/2402.09260
In settings where users both need high accuracy and are time-pressured, such as doctors working in emergency rooms, we want to provide AI assistance that both increases decision accuracy and reduces decision-making time. Current literature focusses o
Externí odkaz:
http://arxiv.org/abs/2306.07458
Autor:
Gajos, Krzysztof Z., Mamykina, Lena
When people receive advice while making difficult decisions, they often make better decisions in the moment and also increase their knowledge in the process. However, such incidental learning can only occur when people cognitively engage with the inf
Externí odkaz:
http://arxiv.org/abs/2202.05402
People supported by AI-powered decision support tools frequently overrely on the AI: they accept an AI's suggestion even when that suggestion is wrong. Adding explanations to the AI decisions does not appear to reduce the overreliance and some studie
Externí odkaz:
http://arxiv.org/abs/2102.09692