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People Prefer Moral Discretion to Algorithms: Algorithm Aversion Beyond Intransparency
We explore aversion to the use of algorithms in moral decision-making. So far, this aversion has been explained mainly by the fear of opaque...
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Infosphere, Datafication, and Decision-Making Processes in the AI Era
A recent interpretation of artificial intelligence (AI) (Floridi
2013 ,2022 ) suggests that the implementation of AI demands the investigation of the... -
Tough enough? Robust satisficing as a decision norm for long-term policy analysis
This paper aims to open a dialogue between philosophers working in decision theory and operations researchers and engineers working on...
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Taking Exception: Philosophy of Technology as a Multidimensional Problem Space
This essay develops three key claims made in my 2018 book, Exceptional Technologies . Part one argues for ‘trivialising the transcendental’, to remove...
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Do the Ends Justify the Means? Variation in the Distributive and Procedural Fairness of Machine Learning Algorithms
Recent advances in machine learning methods have created opportunities to eliminate unfairness from algorithmic decision making. Multiple...
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Merging Minds: The Conceptual and Ethical Impacts of Emerging Technologies for Collective Minds
A growing number of technologies are currently being developed to improve and distribute thinking and decision-making. Rapid progress in...
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Multidimensional Poverty Measures as Policy Tools
Poverty measurement is strewn with imperfection. And yet, even understanding limitations such as data quality and coverage, measures of...
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Algorithms and Media Ethics in the AI Age
This chapter explores media ethics regarding the use of artificial intelligence in journalism. It first highlights how algorithms are redefining...
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Reflections on Putting AI Ethics into Practice: How Three AI Ethics Approaches Conceptualize Theory and Practice
Critics currently argue that applied ethics approaches to artificial intelligence (AI) are too principles-oriented and entail a theory–practice gap....
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Computer-Aided Corporate Sense-Making and Prioritization for SDGs
It has become a recurring necessity and exercise for corporations to assess the alignment of their corporate strategy and goals with UN Sustainable...
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Black Hole Instead of Black Box?: The Double Opaqueness of Recommender Systems on Gaming Platforms and Its Legal Implications
Recommender systems that support us in our everyday lives are becoming more precise and accurate in terms of the appropriateness of recommendations...
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Ideal and Nonideal Theories: The Challenges of Decision-Making in an Imperfect World
In this paper, I will explore the relationship between ideal (ITs) and nonideal theories (NITs) and bioethics. I explore the challenges we face in...
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Gatekee** should be conserved in the open science era
The elimination of gatekeepers for scientific publication has been represented as a means to promote the core moral values of open science, including...
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Designing Donation Incentive Contracts for Online Gig Workers
This study examines the effects of donation incentives on labor supply in an online labor market through a field experiment ( n = 944). We manipulate...
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Sco** Review Shows the Dynamics and Complexities Inherent to the Notion of “Responsibility” in Artificial Intelligence within the Healthcare Context
The increasing integration of artificial intelligence (AI) in healthcare presents a host of ethical, legal, social, and political challenges...
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Data Quality, Data Diversity and Data Provenance: An Ethical Perspective
Predictive modelsPredictive model are increasingly pervasive in many areas of daily life, from engineering to the social sciences. Their use is...
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Smart Cities: Reviewing the Debate About Their Ethical Implications
This paper considers a host of definitions and labels attached to the concept of smart cities to identify four dimensions that ground a review of...
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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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Achieving Double Bottom-Line Performance in Hybrid Organisations: A Machine-Learning Approach
Drawing on a global sample of microfinance institutions (MFIs), this paper offers insights into the trade-off versus synergy debate of adopting...
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Discovering clinical phronesis
Phronesis is often described as a ‘practical wisdom’ adapted to the matters of everyday human life. Phronesis enables one to judge what is at stake...