AI and Ethics
Journal Data
| Type | JOURNAL |
|---|---|
| Publisher | Springer Nature (SG) |
| ISSN | 2730-5953 / 2730-5961 |
| Wikidata | Q105604975 |
| OpenAlex | S4210170699 |
| MAG | 4210170699 |
| Website | https://link.springer.com/journal/43681 |
| Total publications | 10 |
| Coverage period | 2020 - 2025 |
| Country | CH |
| Language | EN |
| Cited by | 3 |
| Impact factor | 24.143 |
| h-index | 1 |
This journal explores the ethical implications of Artificial Intelligence. While its core is ethics, it frequently engages with social and cultural dimensions of technology, aligning it with critical theory and Science and Technology Studies (STS), which are related areas to social anthropology
Adversarial Robustness in Machine Learning · AI in Service Interactions · Artificial Intelligence in Healthcare and Education · Blockchain Technology Applications and Security · COVID-19 Digital Contact Tracing · Digital Economy and Work Transformation · Digital Mental Health Interventions · Embodied and Extended Cognition · Ethics and Social Impacts of AI · Ethics in Business and Education
Artificial intelligence, the common good, and the democratic deficit in AI governance
There is a broad consensus that artificial intelligence should contribute to the common good, but it is not clear what is meant by that. This paper discusses this issue and uses it as a lens for analysing what it calls the “democracy deficit” in current AI governance, which includes a tendency to deny the inherently political character of the issue and to take a technocratic shortcut. It indicates what we may agree on and what is and should be up…
AGI and slavery
AI to renew public employment services? Explanation and trust of domain experts
An approach to sociotechnical transparency of social media algorithms using agent-based modelling
The recommendation algorithms on social media platforms are hugely impactful, they shape information flow and human connection on an unprecedented scale. Despite growing criticism of the social impact of these algorithms, they are still opaque and transparency is an ongoing challenge. This paper has three contributions: (1) We introduce the concept of sociotechnical transparency . This can be defined as transparency approaches that consider both …
The uselessness of AI ethics
As the awareness of AI’s power and danger has risen, the dominant response has been a turn to ethical principles. A flood of AI guidelines and codes of ethics have been released in both the public and private sector in the last several years. However, these are meaningless principles which are contested or incoherent, making them difficult to apply; they are isolated principles situated in an industry and education system which largely ignores et…
Artificial intelligence in education
Artificial intelligence (AI) is a field of study that combines the applications of machine learning, algorithm productions, and natural language processing. Applications of AI transform the tools of education. AI has a variety of educational applications, such as personalized learning platforms to promote students' learning, automated assessment systems to aid teachers, and facial recognition systems to generate insights about learners' behaviors…
Operationalising AI governance through ethics-based auditing
Ethics based auditing (EBA) is a structured process whereby an entitys past or present behaviour is assessed for consistency with moral principles or norms. Recently, EBA has attracted much attention as a governance mechanism that may bridge the gap between principles and practice in AI ethics. However, important aspects of EBA (such as the feasibility and effectiveness of different auditing procedures) have yet to be substantiated by empirical r…
Sustainable AI
While there is a growing effort towards AI for Sustainability (e.g. towards the sustainable development goals) it is time to move beyond that and to address the sustainability of developing and using AI systems. In this paper I propose a definition of Sustainable AI; Sustainable AI is a movement to foster change in the entire lifecycle of AI products (i.e. idea generation, training, re-tuning, implementation, governance) towards greater ecologica…
Emerging challenges in AI and the need for AI ethics education
Past the tipping point
Operationalising AI governance through ethics-based auditing
Ethics based auditing (EBA) is a structured process whereby an entitys past or present behaviour is assessed for consistency with moral principles or norms. Recently, EBA has attracted much attention as a governance mechanism that may bridge the gap between principles and practice in AI ethics. However, important aspects of EBA (such as the feasibility and effectiveness of different auditing procedures) have yet to be substantiated by empirical r…
Past the tipping point
Emerging challenges in AI and the need for AI ethics education
Sustainable AI
While there is a growing effort towards AI for Sustainability (e.g. towards the sustainable development goals) it is time to move beyond that and to address the sustainability of developing and using AI systems. In this paper I propose a definition of Sustainable AI; Sustainable AI is a movement to foster change in the entire lifecycle of AI products (i.e. idea generation, training, re-tuning, implementation, governance) towards greater ecologica…
Operationalising AI governance through ethics-based auditing
Ethics based auditing (EBA) is a structured process whereby an entitys past or present behaviour is assessed for consistency with moral principles or norms. Recently, EBA has attracted much attention as a governance mechanism that may bridge the gap between principles and practice in AI ethics. However, important aspects of EBA (such as the feasibility and effectiveness of different auditing procedures) have yet to be substantiated by empirical r…
Artificial intelligence in education
Artificial intelligence (AI) is a field of study that combines the applications of machine learning, algorithm productions, and natural language processing. Applications of AI transform the tools of education. AI has a variety of educational applications, such as personalized learning platforms to promote students' learning, automated assessment systems to aid teachers, and facial recognition systems to generate insights about learners' behaviors…
The uselessness of AI ethics
As the awareness of AI’s power and danger has risen, the dominant response has been a turn to ethical principles. A flood of AI guidelines and codes of ethics have been released in both the public and private sector in the last several years. However, these are meaningless principles which are contested or incoherent, making them difficult to apply; they are isolated principles situated in an industry and education system which largely ignores et…
An approach to sociotechnical transparency of social media algorithms using agent-based modelling
The recommendation algorithms on social media platforms are hugely impactful, they shape information flow and human connection on an unprecedented scale. Despite growing criticism of the social impact of these algorithms, they are still opaque and transparency is an ongoing challenge. This paper has three contributions: (1) We introduce the concept of sociotechnical transparency . This can be defined as transparency approaches that consider both …
AI to renew public employment services? Explanation and trust of domain experts
AGI and slavery
Artificial intelligence, the common good, and the democratic deficit in AI governance
There is a broad consensus that artificial intelligence should contribute to the common good, but it is not clear what is meant by that. This paper discusses this issue and uses it as a lens for analysing what it calls the “democracy deficit” in current AI governance, which includes a tendency to deny the inherently political character of the issue and to take a technocratic shortcut. It indicates what we may agree on and what is and should be up…