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Prediction via Similarity: Biomedical Big Data and the Case of Cancer Models
In recent years, the biomedical field has witnessed the emergence of novel tools and modelling techniques driven by the rise of the so-called Big...
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Towards trust-based governance of health data research
Developments in medical big data analytics may bring societal benefits but are also challenging privacy and other ethical values. At the same time,...
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Towards a Governance Framework for Brain Data
The increasing availability of brain data within and outside the biomedical field, combined with the application of artificial intelligence (AI) to...
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Revealing agricultural land ownership concentration with cadastral and company network data
In many high-income countries, agricultural land is highly concentrated in a few hands, but detailed knowledge of ownership structures is limited. We...
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The epistemological foundations of data science: a critical review
The modern abundance and prominence of data have led to the development of “data science” as a new field of enquiry, along with a body of...
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Poor Data Quality in Sub-Saharan Africa and Implications on Ethical AI Development
This chapter explores the issue of poor data qualityData quality in Sub-Saharan AfricaSub-Saharan Africa and its potential impact on the development...
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ESG Data Challenges: User Discretion Is Advised
With the emergence of the Environmental, Social, and Governance (ESG) scores to account for corporate social performance, there lies an assumption of...
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People Should Have a Right Not to Be Subjected to AI Profiling Based on Publicly Available Data! A Reply to Holm
Studies suggest that machine learning models may accurately predict depression and other mental health-related conditions based on social media data....
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Data quality, experimental artifacts, and the reactivity of the psychological subject matter
While the term “reactivity” has come to be associated with specific phenomena in the social sciences, having to do with subjects’ awareness of being...
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Evaluating the understanding of the ethical and moral challenges of Big Data and AI among Jordanian medical students, physicians in training, and senior practitioners: a cross-sectional study
AimsTo examine the understanding of the ethical dilemmas associated with Big Data and artificial intelligence (AI) among Jordanian medical students,...
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A logic framework for addressing medical racism in academic medicine: an analysis of qualitative data
BackgroundDespite decades of anti-racism and equity, diversity, and inclusion (EDI) interventions in academic medicine, medical racism continues to...
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Simulation and Experiment Revisited: Temporal Data in Astronomy and Astrophysics
The ongoing debate in philosophy of science over whether simulations are experiments has so far operated at too high a level of generality. I revisit...
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COVID-19, Personal Data Protection and Privacy in India
The corona pandemic altered many traditional and historical norms of society and law. COVID-19 created a humanitarian crisis in some parts of globe,...
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Data Management in Multi-disciplinary African RTB Crop Breeding Programs
Quality phenotype and genotype data are important for the success of a breeding program. Like most programs, African breeding programs generate large...
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Post-publication Peer Review with an Intention to Uncover Data/Result Irregularities and Potential Research Misconduct in Scientific Research: Vigilantism or Volunteerism?
Irregularities in data/results of scientific research might be spotted pre-publication by co-workers and reviewers, or post-publication by readers...
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Construct validity in psychological tests – the case of implicit social cognition
This paper looks at the question of what it means for a psychological test to have construct validity. I approach this topic by way of an analysis of...
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Contextual Exceptionalism After Death: An Information Ethics Approach to Post-Mortem Privacy in Health Data Research
In this article, we use the theory of Information Ethics to argue that deceased people have a prima facie moral right to privacy in the context of...
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Health data privacy through homomorphic encryption and distributed ledger computing: an ethical-legal qualitative expert assessment study
BackgroundIncreasingly, hospitals and research institutes are develo** technical solutions for sharing patient data in a privacy preserving manner....
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The Impact of Implicit Bias on Data Diversity
Implicit biasImplicit bias is unconscious stereotypical beliefs or attitudes about a racial or ethnic group and the automatic preference for a...