The moral psychology of Artificial Intelligence
Moral psychology was shaped around three categories of agents and patients: humans,
other animals, and supernatural beings. Rapid progress in artificial intelligence has …
other animals, and supernatural beings. Rapid progress in artificial intelligence has …
Fairness perceptions of artificial intelligence: A review and path forward
A key insight from research on organizational justice is that fairness is in the eye of the
beholder. With increasing discussions–especially among computer scientists and …
beholder. With increasing discussions–especially among computer scientists and …
Perceived algorithmic fairness: An empirical study of transparency and anthropomorphism in algorithmic recruiting
Despite constant efforts of organisations to ensure a fair and transparent personnel selection
process, hiring is still characterised by systematic inequality. The potential of algorithms to …
process, hiring is still characterised by systematic inequality. The potential of algorithms to …
Synthetic data in biomedicine via generative artificial intelligence
The creation and application of data in biomedicine and healthcare often face privacy
constraints, bias, distributional shifts, underrepresentation of certain groups and data …
constraints, bias, distributional shifts, underrepresentation of certain groups and data …
Mitigating test-time bias for fair image retrieval
We address the challenge of generating fair and unbiased image retrieval results given
neutral textual queries (with no explicit gender or race connotations), while maintaining the …
neutral textual queries (with no explicit gender or race connotations), while maintaining the …
Beyond privacy: Navigating the opportunities and challenges of synthetic data
B van Breugel, M van der Schaar - arXiv preprint arXiv:2304.03722, 2023 - arxiv.org
Generating synthetic data through generative models is gaining interest in the ML
community and beyond. In the past, synthetic data was often regarded as a means to private …
community and beyond. In the past, synthetic data was often regarded as a means to private …
The role of domain expertise in trusting and following explainable AI decision support systems
S Bayer, H Gimpel, M Markgraf - Journal of Decision Systems, 2022 - Taylor & Francis
Although the roots of artificial intelligence (AI) stretch back some years, it currently flourishes
in research and practice. However, AI deals with trust issues. One possible solution …
in research and practice. However, AI deals with trust issues. One possible solution …
Measuring non-expert comprehension of machine learning fairness metrics
Bias in machine learning has manifested injustice in several areas, such as medicine, hiring,
and criminal justice. In response, computer scientists have developed myriad definitions of …
and criminal justice. In response, computer scientists have developed myriad definitions of …
Towards responsible AI: A design space exploration of human-centered artificial intelligence user interfaces to investigate fairness
With Artificial intelligence (AI) to aid or automate decision-making advancing rapidly, a
particular concern is its fairness. In order to create reliable, safe and trustworthy systems …
particular concern is its fairness. In order to create reliable, safe and trustworthy systems …
The use of responsible artificial intelligence techniques in the context of loan approval processes
E Purificato, F Lorenzo, F Fallucchi… - International Journal of …, 2023 - Taylor & Francis
Despite the existing skepticism about the use of automatic systems in contexts where human
knowledge and experience are considered indispensable (eg, the granting of a mortgage …
knowledge and experience are considered indispensable (eg, the granting of a mortgage …