Intersectional analysis of visual generative AI: the case of stable diffusion [0.03%]
交叉视角下的视觉生成式AI分析：以Stable Diffusion为例
Petra Jääskeläinen,Nickhil Kumar Sharma,Helen Pallett et al.
Petra Jääskeläinen et al.
Since 2022, Visual Generative AI (vGenAI) tools have experienced rapid adoption and garnered widespread acclaim for their ability to produce high-quality images with convincing photorealistic representations. These technologies mirror socie...
AI and mental health: evaluating supervised machine learning models trained on diagnostic classifications [0.03%]
人工智能与心理健康：基于诊断分类的监督机器学习模型评估
Anna van Oosterzee
Anna van Oosterzee
Machine learning (ML) has emerged as a promising tool in psychiatry, revolutionising diagnostic processes and patient outcomes. In this paper, I argue that while ML studies show promising initial results, their application in mimicking clin...
From liability gaps to liability overlaps: shared responsibilities and fiduciary duties in AI and other complex technologies [0.03%]
从责任漏洞到重叠：人工智能及其他复杂技术中的共负责任和受托责任
Bart Custers,Henning Lahmann,Benjamyn I Scott
Bart Custers
Complex technologies such as Artificial Intelligence (AI) can cause harm, raising the question of who is liable for the harm caused. Research has identified multiple liability gaps (i.e., unsatisfactory outcomes when applying existing liabi...
AI through the looking glass: an empirical study of structural social and ethical challenges in AI [0.03%]
镜像中的AI：一种关于人工智能结构性社会和伦理挑战的社会实验研究
Mark Ryan,Nina de Roo,Hao Wang et al.
Mark Ryan et al.
This paper examines how professionals (N = 32) working on artificial intelligence (AI) view structural AI ethics challenges like injustices and inequalities beyond individual agents' direct intention and control. This paper answers the rese...
Marc Steen,Tjerk Timan,Jurriaan Van Diggelen et al.
Marc Steen et al.
In this article, we critique the ways in which the people involved in the development and application of AI systems often visualize and talk about AI systems. Often, they visualize such systems as shiny humanoid robots or as free-floating e...
Redefining intelligence: collaborative tinkering of healthcare professionals and algorithms as hybrid entity in public healthcare decision-making [0.03%]
重构智能：公共卫生决策中专业人员与算法作为混合体的协作式摸索行为
Roanne van Voorst
Roanne van Voorst
This paper analyzes the collaboration between healthcare professionals and algorithms in making decisions within the realm of public healthcare. By extending the concept of 'tinkering' from previous research conducted by philosopher Mol (Ca...
"I spend more time on the ecosystem than on the disease": caring for the communicative loop with everyday ADM technology through maintenance and modification work [0.03%]
“我花在生态系统上的时间比花在疾病本身上的时间更多”——通过维护和改造工作与日常ADM技术进行沟通循环的关怀
Sne Scott Hansen,Henriette Langstrup
Sne Scott Hansen
Automated decision-making (ADM) systems can be worn in and on the body for various purposes, such as for tracking and managing chronic conditions. One case in point is do-it-yourself open-source artificial pancreas systems, through which us...
Rage against the authority machines: how to design artificial moral advisors for moral enhancement [0.03%]
反抗权威机器：如何设计道德促进人工道德顾问
Ethan Landes,Cristina Voinea,Radu Uszkai
Ethan Landes
This paper aims to clear up the epistemology of learning morality from artificial moral advisors (AMAs). We start with a brief consideration of what counts as moral enhancement and consider the risk of deskilling raised by machines that off...
Considerations for trustworthy cross-border interoperability of digital identity systems in developing countries [0.03%]
发展中国家可信跨境数字身份系统互操作性考虑因素
Ayei Ibor,Mark Hooper,Carsten Maple et al.
Ayei Ibor et al.
In developing nations, the implementation of Foundational Identity Systems (FIDS) has optimised service delivery and inclusive economic growth. Cross-border e-government will gain traction as developing countries increasingly look to identi...
Mark Ryan
Mark Ryan
The use of a 'human-centred' artificial intelligence approach (HCAI) has substantially increased over the past few years in academic texts (1600 +); institutions (27 Universities have HCAI labs, such as Stanford, Sydney, Berkeley, and Chica...