Ethics and Information Technology

Papers
(The TQCC of Ethics and Information Technology is 10. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)
ArticleCitations
Blind-sided by privacy? Digital contact tracing, the Apple/Google API and big tech’s newfound role as global health policy makers116
We need to talk about deception in social robotics!50
Corona and value change. The role of social media and emotional contagion46
You’ve got a friend in me: sociable robots for older adults in an age of global pandemics37
A sociotechnical perspective for the future of AI: narratives, inequalities, and human control35
Artificial Intelligence Regulation: a framework for governance34
Robots responding to care needs? A multitasking care robot pursued for 25 years, available products offer simple entertainment and instrumental assistance33
Trust in farm data sharing: reflections on the EU code of conduct for agricultural data sharing32
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment30
Transparency as design publicity: explaining and justifying inscrutable algorithms29
Digital contact tracing and exposure notification: ethical guidance for trustworthy pandemic management29
The ethical use of artificial intelligence in human resource management: a decision-making framework27
Ethical dilemmas are really important to potential adopters of autonomous vehicles26
Ethics of digital contact tracing and COVID-19: who is (not) free to go?23
Predictive privacy: towards an applied ethics of data analytics23
Sovereignty, privacy, and ethics in blockchain-based identity management systems23
Digital platforms and responsible innovation: expanding value sensitive design to overcome ontological uncertainty22
Artificial intelligence and African conceptions of personhood21
Is it time for robot rights? Moral status in artificial entities21
Eight grand challenges for value sensitive design from the 2016 Lorentz workshop21
Disability, fairness, and algorithmic bias in AI recruitment20
Understanding responsibility in Responsible AI. Dianoetic virtues and the hard problem of context19
AI recruitment algorithms and the dehumanization problem19
Artificial intelligence and responsibility gaps: what is the problem?18
Three contextual dimensions of information on social media: lessons learned from the COVID-19 infodemic18
The emergence of “truth machines”?: Artificial intelligence approaches to lie detection18
From human resources to human rights: Impact assessments for hiring algorithms18
How to feel about emotionalized artificial intelligence? When robot pets, holograms, and chatbots become affective partners17
Value sensitive design as a formative framework16
Applying a principle of explicability to AI research in Africa: should we do it?16
Fairness, explainability and in-between: understanding the impact of different explanation methods on non-expert users’ perceptions of fairness toward an algorithmic system16
The European Commission report on ethics of connected and automated vehicles and the future of ethics of transportation15
Disguising Reddit sources and the efficacy of ethical research15
Data Ethics Decision Aid (DEDA): a dialogical framework for ethical inquiry of AI and data projects in the Netherlands15
Technology and moral change: the transformation of truth and trust14
Towards a seamful ethics of Covid-19 contact tracing apps?14
Trust in medical artificial intelligence: a discretionary account13
Characteristics and challenges in the industries towards responsible AI: a systematic literature review13
How can we know a self-driving car is safe?13
Explanatory pragmatism: a context-sensitive framework for explainable medical AI13
On the person-based predictive policing of AI13
Contact tracing apps: an ethical roadmap13
A Capability Approach to worker dignity under Algorithmic Management12
Optimization of what? For-profit health apps as manipulative digital environments12
Enabling Fairness in Healthcare Through Machine Learning12
Friendly AI11
What it’s like to be a _____: why it’s (often) unethical to use VR as an empathy nudging tool11
Digital well-being under pandemic conditions: catalysing a theory of online flourishing11
Ethics of automated vehicles: breaking traffic rules for road safety11
Critically engaging the ethics of AI for a global audience11
Weapons of moral construction? On the value of fairness in algorithmic decision-making11
Sharing (mis) information on social networking sites. An exploration of the norms for distributing content authored by others11
The practical ethics of bias reduction in machine translation: why domain adaptation is better than data debiasing11
The artificial view: toward a non-anthropocentric account of moral patiency10
Beyond privacy vs. health: a justification analysis of the contact-tracing apps debate in the Netherlands10
Relative explainability and double standards in medical decision-making10
Ethical concerns in rescue robotics: a scoping review10
Design for values and conceptual engineering10
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