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Moving beyond social categories by incorporating context in social psychological theory
Across phenomena and areas of inquiry, social psychology often emphasizes social
categories as the unit of explanation. However, the primacy of categories often leads social …
categories as the unit of explanation. However, the primacy of categories often leads social …
Human-machine collaborative decision-making: An evolutionary roadmap based on cognitive intelligence
M Ren, N Chen, H Qiu - International Journal of Social Robotics, 2023 - Springer
With the development of artificial intelligence technology, intelligent machines are
increasingly equipped with human-like abilities such as autonomous decision-making …
increasingly equipped with human-like abilities such as autonomous decision-making …
Against predictive optimization: On the legitimacy of decision-making algorithms that optimize predictive accuracy
We formalize predictive optimization, a category of decision-making algorithms that use
machine learning (ML) to predict future outcomes of interest about individuals. For example …
machine learning (ML) to predict future outcomes of interest about individuals. For example …
Rethinking fairness: An interdisciplinary survey of critiques of hegemonic ML fairness approaches
L Weinberg - Journal of Artificial Intelligence Research, 2022 - jair.org
This survey article assesses and compares existing critiques of current fairness-enhancing
technical interventions in machine learning (ML) that draw from a range of non-computing …
technical interventions in machine learning (ML) that draw from a range of non-computing …
Interactive repair and the foundations of language
The robustness and flexibility of human language is underpinned by a machinery of
interactive repair. Repair is deeply intertwined with two core properties of human language …
interactive repair. Repair is deeply intertwined with two core properties of human language …
Reclaiming AI as a theoretical tool for cognitive science
The idea that human cognition is, or can be understood as, a form of computation is a useful
conceptual tool for cognitive science. It was a foundational assumption during the birth of …
conceptual tool for cognitive science. It was a foundational assumption during the birth of …
Responsible AI in Africa: Challenges and opportunities
This open access book contributes to the discourse of Responsible Artificial Intelligence (AI)
from an African perspective. It is a unique collection that brings together prominent AI …
from an African perspective. It is a unique collection that brings together prominent AI …
Understanding uncertainty: how lay decision-makers perceive and interpret uncertainty in human-AI decision making
Decision Support Systems (DSS) based on Machine Learning (ML) often aim to assist lay
decision-makers, who are not math-savvy, in making high-stakes decisions. However …
decision-makers, who are not math-savvy, in making high-stakes decisions. However …
Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders
Child welfare agencies across the United States are turning to data-driven predictive
technologies (commonly called predictive analytics) which use government administrative …
technologies (commonly called predictive analytics) which use government administrative …
The unseen Black faces of AI algorithms
A Birhane - 2022 - nature.com
The unseen Black faces of AI algorithms Skip to main content Thank you for visiting nature.com.
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