Zobrazeno 1 - 10
of 542
pro vyhledávání: '"CASATI, FABIO"'
Explainability and transparency of AI systems are undeniably important, leading to several research studies and tools addressing them. Existing works fall short of accounting for the diverse stakeholders of the AI supply chain who may differ in their
Externí odkaz:
http://arxiv.org/abs/2405.16311
With the widespread proliferation of AI systems, trust in AI is an important and timely topic to navigate. Researchers so far have largely employed a myopic view of this relationship. In particular, a limited number of relevant trustors (e.g., end-us
Externí odkaz:
http://arxiv.org/abs/2405.16310
Autor:
Gantumur, Zoljargalan, Baez, Marcos, Ulamnemekh, Nomin-Erdene, Ibarra, Francisco, Myagmarjav, Sugarmaa, Casati, Fabio
Publikováno v:
JMIR Research Protocols, Vol 9, Iss 4, p e16315 (2020)
BackgroundIntergenerational relationships are beneficial for both grandparents and grandchildren. A positive grandparent-grandchild relationship can improve the psychological well-being of older adults and be a source of social support, family histor
Externí odkaz:
https://doaj.org/article/2ec2252f59304ecaa3474e61b28d0eae
Publikováno v:
JMIR mHealth and uHealth, Vol 6, Iss 2, p e40 (2018)
BackgroundRegular physical activity has a positive effect on physical health, well-being, and life satisfaction of older adults. However, engaging in regular physical activity can be challenging for the elderly population because of reduced mobility,
Externí odkaz:
https://doaj.org/article/fc32bdc36093460eb569d7219de01711
Hate speech moderation remains a challenging task for social media platforms. Human-AI collaborative systems offer the potential to combine the strengths of humans' reliability and the scalability of machine learning to tackle this issue effectively.
Externí odkaz:
http://arxiv.org/abs/2307.11806
Autor:
Beheshti, Amin, Yang, Jian, Sheng, Quan Z., Benatallah, Boualem, Casati, Fabio, Dustdar, Schahram, Nezhad, Hamid Reza Motahari, Zhang, Xuyun, Xue, Shan
Generative Pre-trained Transformer (GPT) is a state-of-the-art machine learning model capable of generating human-like text through natural language processing (NLP). GPT is trained on massive amounts of text data and uses deep learning techniques to
Externí odkaz:
http://arxiv.org/abs/2306.01771
In this paper, we argue that the way we have been training and evaluating ML models has largely forgotten the fact that they are applied in an organization or societal context as they provide value to people. We show that with this perspective we fun
Externí odkaz:
http://arxiv.org/abs/2209.15157
Publikováno v:
Journal of Medical Internet Research, Vol 16, Iss 6, p e159 (2014)
BackgroundHome-based exercise programs can improve physical functioning and health status of elderly people. Successful implementation of exercise interventions for older people presents major challenges and supporting elderly people properly while d
Externí odkaz:
https://doaj.org/article/b27de2513ef64d2ea0ba91d5f5299f07
Autor:
Silveira, Patrícia, van de Langenberg, Rolf, van het Reve, Eva, Daniel, Florian, Casati, Fabio, de Bruin, Eling D
Publikováno v:
Journal of Medical Internet Research, Vol 15, Iss 8, p e159 (2013)
BackgroundReaction time, coordination, and cognition performance typically diminish in older adults, which may lead to gait impairments, falls, and injuries. Regular strength–balance exercises are highly recommended to reduce this problem and to im
Externí odkaz:
https://doaj.org/article/879035aa88864a45807fe2511139317d
Publikováno v:
Fabio Casati, Pierre-Andr\'e No\"el and Jie Yang (2021, December 14). On the Value of ML Models [Poster presentation]. Workshop on Human and Machine Decisions, NeurIPS 2021, virtual. https://sites.google.com/view/whmd2021
We argue that, when establishing and benchmarking Machine Learning (ML) models, the research community should favour evaluation metrics that better capture the value delivered by their model in practical applications. For a specific class of use case
Externí odkaz:
http://arxiv.org/abs/2112.06775