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pro vyhledávání: '"Schoeffer, Jakob"'
The widespread use of artificial intelligence (AI) systems across various domains is increasingly surfacing issues related to algorithmic fairness, especially in high-stakes scenarios. Thus, critical considerations of how fairness in AI systems might
Externí odkaz:
http://arxiv.org/abs/2404.18736
Autor:
Lawless, Connor, Schoeffer, Jakob, Le, Lindy, Rowan, Kael, Sen, Shilad, Hill, Cristina St., Suh, Jina, Sarrafzadeh, Bahareh
Publikováno v:
ACM Trans. Interact. Intell. Syst., Vol. 14, No. 3, Article 22. 2024
A critical factor in the success of decision support systems is the accurate modeling of user preferences. Psychology research has demonstrated that users often develop their preferences during the elicitation process, highlighting the pivotal role o
Externí odkaz:
http://arxiv.org/abs/2312.06908
In this critical survey, we analyze typical claims on the relationship between explainable AI (XAI) and fairness to disentangle the multidimensional relationship between these two concepts. Based on a systematic literature review and a subsequent qua
Externí odkaz:
http://arxiv.org/abs/2310.13007
In AI-assisted decision-making, a central promise of having a human-in-the-loop is that they should be able to complement the AI system by overriding its wrong recommendations. In practice, however, we often see that humans cannot assess the correctn
Externí odkaz:
http://arxiv.org/abs/2304.08804
In this work, we study the effects of feature-based explanations on distributive fairness of AI-assisted decisions, specifically focusing on the task of predicting occupations from short textual bios. We also investigate how any effects are mediated
Externí odkaz:
http://arxiv.org/abs/2209.11812
In this work, we empirically examine human-AI decision-making in the presence of explanations based on predicted outcomes. This type of explanation provides a human decision-maker with expected consequences for each decision alternative at inference
Externí odkaz:
http://arxiv.org/abs/2208.04181
Automated decision systems (ADS) are increasingly used for consequential decision-making. These systems often rely on sophisticated yet opaque machine learning models, which do not allow for understanding how a given decision was arrived at. In this
Externí odkaz:
http://arxiv.org/abs/2205.05758
Autor:
Schoeffer, Jakob
Automated decision systems (ADS) are increasingly used for consequential decision-making. These systems often rely on sophisticated yet opaque machine learning models, which do not allow for understanding how a given decision was arrived at. This is
Externí odkaz:
http://arxiv.org/abs/2205.00033
It is known that recommendations of AI-based systems can be incorrect or unfair. Hence, it is often proposed that a human be the final decision-maker. Prior work has argued that explanations are an essential pathway to help human decision-makers enha
Externí odkaz:
http://arxiv.org/abs/2204.13156
Autor:
Schoeffer, Jakob, Ritchie, Alexander, Naggita, Keziah, Monachou, Faidra, Finocchiaro, Jessie, Juarez, Marc
In the wake of increasing political extremism, online platforms have been criticized for contributing to polarization. One line of criticism has focused on echo chambers and the recommended content served to users by these platforms. In this work, we
Externí odkaz:
http://arxiv.org/abs/2202.09727