- Ethics and Social Impacts of AI
- Psychoanalysis and Psychopathology Research
- Philosophy and Social Theory
- Digital Mental Health Interventions
- Sustainability and Climate Change Governance
- Telemedicine and Telehealth Implementation
- Geographies of human-animal interactions
- Mobile Crowdsensing and Crowdsourcing
- Explainable Artificial Intelligence (XAI)
- Water-Energy-Food Nexus Studies
- Rhetoric and Communication Studies
- Foucault, Power, and Ethics
- Hate Speech and Cyberbullying Detection
- Water Governance and Infrastructure
- Swearing, Euphemism, Multilingualism
- Media Studies and Communication
- Mobile Health and mHealth Applications
- Innovative Human-Technology Interaction
- Computability, Logic, AI Algorithms
- Model-Driven Software Engineering Techniques
- Bullying, Victimization, and Aggression
- Transboundary Water Resource Management
- Generative Adversarial Networks and Image Synthesis
- Eastern European Communism and Reforms
- Critical Theory and Philosophy
National Institute of Standards and Technology
2024
Google (United States)
2021-2023
Film Independent
2023
University of San Francisco
2021-2022
Center for Science in the Public Interest (United States)
2021
University of California, San Diego
2014-2019
In response to growing concerns of bias, discrimination, and unfairness perpetuated by algorithmic systems, the datasets used train evaluate machine learning models have come under increased scrutiny. Many these examinations focused on contents datasets, finding glaring underrepresentation minoritized groups. contrast, relatively little work has been done examine norms, values, assumptions embedded in datasets. this work, we conceptualize as a type informational infrastructure, motivate...
Given a growing concern about the lack of ethical consideration in Artificial Intelligence (AI) field, many have begun to question how dominant approaches disciplinary education computer science (CS)---and its implications for AI---has led current "ethics crisis". However, we claim that AI ethics space relies on form "exclusionary pedagogy," where is distilled computational approaches, but there no deeper epistemological engagement with other ways knowing would benefit thinking or an...
Machine learning (ML) approaches have demonstrated promising results in a wide range of healthcare applications. Data plays crucial role developing ML-based systems that directly affect people's lives. Many the ethical issues surrounding use ML stem from structural inequalities underlying way we collect, use, and handle data. Developing guidelines to improve documentation practices regarding creation, maintenance datasets is therefore critical importance. In this work, introduce Healthsheet,...
Human annotated data plays a crucial role in machine learning (ML) research and development. However, the ethical considerations around processes decisions that go into dataset annotation have not received nearly enough attention. In this paper, we survey an array of literature provides insights crowdsourced annotation. We synthesize these insights, lay out challenges space along two layers: (1) who annotator is, how annotators' lived experiences can impact their annotations, (2)...
This research shows how face masks took on discursive political significance during the early stages of coronavirus disease 2019 pandemic in United States. The authors argue that divisions over cannot be understood by looking to partisan differences mask-wearing behaviors alone. Instead, they show mask became a symbol enrolled into patterns affective polarization. study relies qualitative and computational analyses opinion articles ( n = 7,970) supplemental Twitter data, transcripts major...
In response to algorithmic unfairness embedded in sociotechnical systems, significant attention has been focused on the contents of machine learning datasets which have revealed biases towards white, cisgender, male, and Western data subjects. contrast, comparatively less paid histories, values, norms such datasets. this work, we outline a research program - genealogy for investigating how why these created, what whose values influence choices collect, contextual contingent conditions their...
Tasks such as toxicity detection, hate speech and online harassment detection have been developed for identifying interactions involving offensive speech. In this work we articulate the need a relational understanding of offensiveness to help distinguish denotative from serving mechanism through which marginalized communities resist oppressive social norms. Using examples queer community, argue that evaluations must focus on impacts language use. We call cynic perspective– or characteristic...
The development of many machine learning (ML) and artificial intelligence (AI) systems depends on human-labeled data. Human-provided labels act as tags or enriching information that enable algorithms to more easily learn patterns in data order train evaluate a wide range AI systems. These annotations ultimately shape the behavior Given scale ML datasets, which can contain thousands billions points, cost efficiency play major role how are collected. Yet, important challenges arise between...
How does stakeholder participation in natural resource management change when conservation rules are grounded near real-time data? Recognition of our rapidly changing climate and recent technological advances have facilitated the increased feasibility “dynamic management” resources, which promises to align spatiotemporal scales with ecological variability use. Drawing on Kelty’s (2020) concept “contributory autonomy,” this article offers a critical comparison how is conceived more...
<bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Our work starts</b> by offering two statements, given in different historical times and epistemic contexts, which reveal radically visions of what a problem is how we should engage with it.
Assemblages: (Pre)Political, Ethical and Ontological Perspectives Razvan Amironesei (bio) Jon Bialecki1 Our work offers a new answer to growing theoretical practical demand within diverse domains of investigation by redefining the concept political action. It grounds elucidates some manifestations distinctive mode political. Its regulative idea is that assemblage. The overall aim this volume show assemblage should be productively distinguished from both limiting concepts proceduralist...
This article analyzes the emergence of a political rationality groundwater in contemporary California. It contrasts new government nature that we call ‘political physics vital processes’, operative case Orange County Water District, with juridical and biopolitical rationalities governance. To do so, propose genealogical account grounded reading key concept Aristotle’s first book Politics. The is analyzed along axes subjectivity, space, temporality, opening to novel way conceptualizing...
La notion de déprise joue un rôle central dans le traitement la subjectivité chez Michel Foucault. Notre objectif est d’établir que cette ne peut pas être réduite à une économie du soi, comme il communement admis par les commentateurs son oeuvre. Dans ce sens, faudrait distinguer fois souci soi et pratique sagesse. De manière positive, s’agit montrer plutôt modalité politique désubjectivation. L’analyse stultitia (bêtise) Sénèque nous permettra investie non subjectivation, mais disqualification soi.
In October 2017, the Trump administration announced that it would not participate in a $17 billion ‘WaterFix’ plan to remake California’s water conveyance system by drilling two massive tunnels und...
Machine learning (ML) approaches have demonstrated promising results in a wide range of healthcare applications. Data plays crucial role developing ML-based systems that directly affect people's lives. Many the ethical issues surrounding use ML stem from structural inequalities underlying way we collect, use, and handle data. Developing guidelines to improve documentation practices regarding creation, maintenance datasets is therefore critical importance. In this work, introduce Healthsheet,...
This research shows how face masks took on discursive political significance during the early stages of COVID-19 pandemic in United States. We argue that divisions over cannot be understood by looking to partisan differences mask wearing behaviors alone. Instead, we show became a symbol enrolled into patterns affective polarization. study relies qualitative and computational analyses opinion articles (n = 7,970), supplemental Twitter data, transcripts major news networks, longitudinal survey...
We draw from the framework of relationality as a pathway for modeling social relations to address gaps in text classification, generally, and offensive language specifically. use minoritized language, such queer speech, motivate need understanding relations–both among individuals their communities. then point socio-ethical style research area inferring measuring well propose additional questions structure future on operationalizing context.
Politics and Commonality of Sensation from a Reading Merleau-Ponty Razvan Amironesei (bio) Louis-Étienne Pigeon1 Introduction During the afternoon December 21, 1989, in Bucharest, mass demonstrators gather public square (later called The Revolution Square) at request Nicolae Ceausescu, then president Romania. In previous days, students had shaken country by taking to streets protest city Timisoara. These protests been preceded that year wave other social movements took place Poland, Hungary,...