Development of a scale for capturing psychological aspects of physical-digital integration: relationships with psychosocial functioning and facial emotion recognition [0.03%]
一种用于捕捉物理与数字融合的心理量表的发展：与心理社会功能和面部情绪识别的关系
Daiana Colledani,Pasquale Anselmi,Egidio Robusto
Daiana Colledani
The present work aims at developing a scale for the assessment of a construct that we called "physical-digital integration", which refers to the tendency of some individuals not to perceive a clear differentiation between feelings and perce...
Beyond the hype: 'acceptable futures' for AI and robotic technologies in healthcare [0.03%]
穿透炒作：医疗保健领域人工智能和机器人技术的“可接受未来”
Giulia De Togni,S Erikainen,S Chan et al.
Giulia De Togni et al.
AI and robotic technologies attract much hype, including utopian and dystopian future visions of technologically driven provision in the health and care sectors. Based on 30 interviews with scientists, clinicians and other stakeholders in t...
The system of autono‑mobility: computer vision and urban complexity-reflections on artificial intelligence at urban scale [0.03%]
自驾驶系统：计算机视觉与城市复杂性——关于城市尺度上的人工智能的思考
Fabio Iapaolo
Fabio Iapaolo
Focused on city-scale automation, and using self-driving cars (SDCs) as a case study, this article reflects on the role of AI-and in particular, computer vision systems used for mapping and navigation-as a catalyst for urban transformation....
Equal accuracy for Andrew and Abubakar-detecting and mitigating bias in name-ethnicity classification algorithms [0.03%]
安德鲁和阿布巴卡尔同样准确：姓名-族裔分类算法中检测和缓解偏差
Lena Hafner,Theodor Peter Peifer,Franziska Sofia Hafner
Lena Hafner
Uncovering the world's ethnic inequalities is hampered by a lack of ethnicity-annotated datasets. Name-ethnicity classifiers (NECs) can help, as they are able to infer people's ethnicities from their names. However, since the latest generat...
Peter Mantello,Manh-Tung Ho
Peter Mantello
This paper interrogates the growing pervasiveness of affect recognition tools as an emerging layer human-centric automated management in the global workplace. While vendors tout the neoliberal incentives of emotion-recognition technology as...
Human-machine coordination in mixed traffic as a problem of Meaningful Human Control [0.03%]
混合交通中的人机协同作为有意义的人类控制问题
Giulio Mecacci,Simeon C Calvert,Filippo Santoni de Sio
Giulio Mecacci
The urban traffic environment is characterized by the presence of a highly differentiated pool of users, including vulnerable ones. This makes vehicle automation particularly difficult to implement, as a safe coordination among those users ...
Open source intelligence and AI: a systematic review of the GELSI literature [0.03%]
开源情报和人工智能：GELSI文献的系统回顾
Riccardo Ghioni,Mariarosaria Taddeo,Luciano Floridi
Riccardo Ghioni
Today, open source intelligence (OSINT), i.e., information derived from publicly available sources, makes up between 80 and 90 percent of all intelligence activities carried out by Law Enforcement Agencies (LEAs) and intelligence services i...
Amanul Haque,Nirav Ajmeri,Munindar P Singh
Amanul Haque
It is widely recognized that the Web contributes to user polarization, and such polarization affects not just politics but also peoples' stances about public health, such as vaccination. Understanding polarization in social networks is chal...
Auditing the impact of artificial intelligence on the ability to have a good life: using well-being measures as a tool to investigate the views of undergraduate STEM students [0.03%]
审核人工智能对过上美好生活能力的影响：使用幸福感量表作为工具来调查STEM专业本科生的观点
Brielle Lillywhite,Gregor Wolbring
Brielle Lillywhite
AI/ML increasingly impacts the ability of humans to have a good life. Various sets of indicators exist to measure well-being/the ability to have a good life. Students play an important role in AI/ML discussions. The purpose of our study usi...
"Just" accuracy? Procedural fairness demands explainability in AI-based medical resource allocations [0.03%]
仅仅"准确"就行吗？程序公正要求在基于AI的医疗资源分配中需要可解释性
Jon Rueda,Janet Delgado Rodríguez,Iris Parra Jounou et al.
Jon Rueda et al.
The increasing application of artificial intelligence (AI) to healthcare raises both hope and ethical concerns. Some advanced machine learning methods provide accurate clinical predictions at the expense of a significant lack of explainabil...