Beyond bias and discrimination: redefining the AI ethics principle of fairness in healthcare machine-learning algorithms [0.03%]
超越偏见与歧视——在医疗机器学习算法中重新定义AI伦理原则中的公平性
Benedetta Giovanola,Simona Tiribelli
Benedetta Giovanola
The increasing implementation of and reliance on machine-learning (ML) algorithms to perform tasks, deliver services and make decisions in health and healthcare have made the need for fairness in ML, and more specifically in healthcare ML a...
COVID-19, artificial intelligence, ethical challenges and policy implications [0.03%]
新冠肺炎、人工智能：伦理挑战与政策含义
Muhammad Anshari,Mahani Hamdan,Norainie Ahmad et al.
Muhammad Anshari et al.
As the COVID-19 outbreak remains an ongoing issue, there are concerns about its disruption, the level of its disruption, how long this pandemic is going to last, and how innovative technological solutions like Artificial Intelligence (AI) a...
Applying ethics to AI in the workplace: the design of a scorecard for Australian workplace health and safety [0.03%]
应用于工作场所的AI伦理：澳大利亚工作健康安全评分卡的设计
Andreas Cebulla,Zygmunt Szpak,Catherine Howell et al.
Andreas Cebulla et al.
Artificial Intelligence (AI) is taking centre stage in economic growth and business operations alike. Public discourse about the practical and ethical implications of AI has mainly focussed on the societal level. There is an emerging knowle...
Investing in AI for social good: an analysis of European national strategies [0.03%]
欧洲国家层面的人工智能社会公益投资战略分析
Francesca Foffano,Teresa Scantamburlo,Atia Cortés
Francesca Foffano
Artificial Intelligence (AI) has become a driving force in modern research, industry and public administration and the European Union (EU) is embracing this technology with a view to creating societal, as well as economic, value. This effor...
Exploring the roles of trust and social group preference on the legitimacy of algorithmic decision-making vs. human decision-making for allocating COVID-19 vaccinations [0.03%]
探究信任和社交群体偏好在算法决策与人类决策分配新冠疫苗合法性中的作用
Marco Lünich,Kimon Kieslich
Marco Lünich
In combating the ongoing global health threat of the COVID-19 pandemic, decision-makers have to take actions based on a multitude of relevant health data with severe potential consequences for the affected patients. Because of their presume...
Dismantling AI capitalism: the commons as an alternative to the power concentration of Big Tech [0.03%]
拆解AI资本主义：共建的共享模式作为打破大型科技公司垄断的力量
Pieter Verdegem
Pieter Verdegem
This article discusses the political economy of AI capitalism. It considers AI as a General Purpose Technology (GPT) and argues we need to investigate the power concentration of Big Tech. AI capitalism is characterised by the commodificatio...
Karim Nader,Paul Toprac,Suzanne Scott et al.
Karim Nader et al.
Artificial intelligence (AI) is becoming part of our everyday experience and is expected to be ever more integrated into ordinary life for many years to come. Thus, it is important for those in product development, research, and public poli...
Cian McCarroll,Federico Cugurullo
Cian McCarroll
The urban environment is increasingly engaging with artificial intelligence, a focus on the automation of urban processes, whether it be singular artefacts or city-wide systems. The impact of such technological innovation on the social dyna...
Justificatory explanations in machine learning: for increased transparency through documenting how key concepts drive and underpin design and engineering decisions [0.03%]
机器学习中的解释性说明：通过记录关键概念如何推动和支撑设计与工程决策来提高透明度
David Casacuberta,Ariel Guersenzvaig,Cristian Moyano-Fernández
David Casacuberta
Given the pervasiveness of AI systems and their potential negative effects on people's lives (especially among already marginalised groups), it becomes imperative to comprehend what goes on when an AI system generates a result, and based on...
Ricardo Rodriguez-Ulloa
Ricardo Rodriguez-Ulloa
This paper aims to make a proposal to govern the Peruvian State under the umbrella of management cybernetics, following the paths of the viable system model (VSM), proposed by Prof. Stafford Beer, enriched with other soft and hard systemic ...