176 citations · 348 across the 21 of their papers we have counts for
22 papers
Memory-Aware Reward Modeling: Learning Human Preferences for LLM Memory Use
Yijiang River Dong, Zexue He, Cheng Yu +9
Memory enables language model assistants to maintain continuity across sessions and generate personalized responses, but knowing more about a user does not necessarily produce resp…
Hardware is an AI Ethics Problem: Expert Visions for a Sustainable and Equitable Semiconductor Industry
Naira Paola Arnez-Jordan, Chiara Ullstein, Michel Hohendanner +4
As the foundation of contemporary AI systems, the semiconductor industry is increasingly shaped by critical social, environmental, and geopolitical challenges. Nonetheless, prior r…
AI Adoption Across a Multinational Workforce: Sociotechnical Conditions for GenAI Acceptance in Human Resources
Dalia Ali, Maria José Rodríguez Velázquez, Manoel Horta Ribeiro +2
Generative AI (GenAI) deployment in the workplace is accelerating rapidly. Nevertheless, questions of who adopts, who benefits, and who is left behind and why are still understudie…
Engaged AI Governance: Addressing the Last Mile Challenge Through Internal Expert Collaboration
Simon Jarvers, Orestis Papakyriakopoulos
Under the EU AI Act, translating AI governance requirements into software development practice remains challenging. While AI governance frameworks exist at industry and organizatio…
How Should AI Safety Benchmarks Benchmark Safety?
Cheng Yu, Severin Engelmann, Ruoxuan Cao +2
AI safety benchmarks are pivotal for safety in advanced AI systems; however, they have significant technical, epistemic, and sociotechnical shortcomings. We present a review of 210…
Operationalizing Pluralistic Values in Large Language Model Alignment Reveals Trade-offs in Safety, Inclusivity, and Model Behavior
Dalia Ali, Dora Zhao, Allison Koenecke +1
Although large language models (LLMs) are increasingly trained using human feedback for safety and alignment with human values, alignment decisions often overlook human social dive…
AI Adoption Across Mission-Driven Organizations
Dalia Ali, Muneeb Ahmed, Hailan Wang +6
Despite AI's promise, little is known about how mission-driven organizations (MDOs) adopt AI. We conducted semi-structured interviews with 15 experts and leaders within environment…
Safety Degradation in AI Agents
Cheng Yu, Benedikt Stroebl, Diyi Yang +1
Despite the growing integration of retrieval-enabled AI agents into society, their safety and ethical behavior remain inadequately understood. In particular, the integration of LLM…
Position: Measure Dataset Diversity, Don't Just Claim It
Dora Zhao, Jerone T. A. Andrews, Orestis Papakyriakopoulos +1
Machine learning (ML) datasets, often perceived as neutral, inherently encapsulate abstract and disputed social constructs. Dataset curators frequently employ value-laden terms suc…
Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes
Yusuke Hirota, Jerone T. A. Andrews, Dora Zhao +4
We tackle societal bias in image-text datasets by removing spurious correlations between protected groups and image attributes. Traditional methods only target labeled attributes,…
Mapping the Landscape of Independent Food Delivery Platforms in the United States
Yuhan Liu, Amna Liaqat, Owen Xingjian Zhang +5
Beyond the well-known giants like Uber Eats and DoorDash, there are hundreds of independent food delivery platforms in the United States. However, little is known about the sociote…
Not My Voice! A Taxonomy of Ethical and Safety Harms of Speech Generators
Wiebke Hutiri, Oresiti Papakyriakopoulos, Alice Xiang
The rapid and wide-scale adoption of AI to generate human speech poses a range of significant ethical and safety risks to society that need to be addressed. For example, a growing…
Augmented Datasheets for Speech Datasets and Ethical Decision-Making
Orestis Papakyriakopoulos, Anna Seo Gyeong Choi, Jerone Andrews +5
Speech datasets are crucial for training Speech Language Technologies (SLT); however, the lack of diversity of the underlying training data can lead to serious limitations in build…
Considerations for Ethical Speech Recognition Datasets
Orestis Papakyriakopoulos, Alice Xiang
Speech AI Technologies are largely trained on publicly available datasets or by the massive web-crawling of speech. In both cases, data acquisition focuses on minimizing collection…
Upvotes? Downvotes? No Votes? Understanding the relationship between reaction mechanisms and political discourse on Reddit
Orestis Papakyriakopoulos, Severin Engelmann, Amy Winecoff
A significant share of political discourse occurs online on social media platforms. Policymakers and researchers try to understand the role of social media design in shaping the qu…
Ethical Considerations for Responsible Data Curation
Jerone T. A. Andrews, Dora Zhao, William Thong +3
Human-centric computer vision (HCCV) data curation practices often neglect privacy and bias concerns, leading to dataset retractions and unfair models. HCCV datasets constructed th…
How Algorithms Shape the Distribution of Political Advertising: Case Studies of Facebook, Google, and TikTok
Orestis Papakyriakopoulos, Christelle Tessono, Arvind Narayanan +1
Online platforms play an increasingly important role in shaping democracy by influencing the distribution of political information to the electorate. In recent years, political cam…
Partisan US News Media Representations of Syrian Refugees
Keyu Chen, Marzieh Babaeianjelodar, Yiwen Shi +13
We investigate how representations of Syrian refugees (2011-2021) differ across US partisan news outlets. We analyze 47,388 articles from the online US media about Syrian refugees…
Qualitative Analysis for Human Centered AI
Orestis Papakyriakopoulos, Elizabeth Anne Watkins, Amy Winecoff +2
Human-centered artificial intelligence (AI) posits that machine learning and AI should be developed and applied in a socially aware way. In this article, we argue that qualitative…
Beyond Algorithmic Bias: A Socio-Computational Interrogation of the Google Search by Image Algorithm
Orestis Papakyriakopoulos, Arwa Michelle Mboya
We perform a socio-computational interrogation of the google search by image algorithm, a main component of the google search engine. We audit the algorithm by presenting it with m…
Dancing to the Partisan Beat: A First Analysis of Political Communication on TikTok
Juan Carlos Medina Serrano, Orestis Papakyriakopoulos, Simon Hegelich
TikTok is a video-sharing social networking service, whose popularity is increasing rapidly. It was the world's second-most downloaded app in 2019. Although the platform is known f…
Effects of Social Bots in the Iran-Debate on Twitter
Andree Thieltges, Orestis Papakyriakopoulos, Juan Carlos Medina Serrano +1
2018 started with massive protests in Iran, bringing back the impressions of the so called "Arab Spring" and it's revolutionary impact for the Maghreb states, Syria and Egypt. Many…