Tootfinder

Regulating Next-Generation Implantable Brain-Computer Interfaces: Recommendations for Ethical Development and Implementation
Renee Sirbu, Jessica Morley, Tyler Schroder, Mariarosaria Taddeo, Raghavendra Pradyumna Pothukuchi, Muhammed Ugur, Abhishek Bhattacharjee, Luciano Floridi
https://arxiv.org/abs/2506.12540

Regulating Next-Generation Implantable Brain-Computer Interfaces: Recommendations for Ethical Development and Implementation
Brain-computer interfaces offer significant therapeutic opportunities for a variety of neurophysiological and neuropsychiatric disorders and may perhaps one day lead to augmenting the cognition and decision-making of the healthy brain. However, existing regulatory frameworks designed for implantable medical devices are inadequate to address the unique ethical, legal, and social risks associated with next-generation networked brain-computer interfaces. In this article, we make nine recommendatio…

Questions about the meaning of #artificialintelligence and its implications for human dignity and well-being highlighted a major conference at YDS last month, titled, “A.I. and the Ends of Humanity: Thinking Theologically After ChatGPT.” Full story by Timothy Cahill '16 M.A.R.

we gotta make the modern equivalent of old school playboy, cultured ethical gooning interspersed with all the up and coming literary talent

Advances in LLMs with Focus on Reasoning, Adaptability, Efficiency and Ethics
Asifullah khan, Muhammad Zaeem Khan, Saleha Jamshed, Sadia Ahmad, Aleesha Zainab, Kaynat Khatib, Faria Bibi, Abdul Rehman
https://arxiv.org/abs/2506.12365

Advances in LLMs with Focus on Reasoning, Adaptability, Efficiency and Ethics
This survey paper outlines the key developments in the field of Large Language Models (LLMs), such as enhancing their reasoning skills, adaptability to various tasks, increased computational efficiency, and ability to make ethical decisions. The techniques that have been most effective in bridging the gap between human and machine communications include the Chain-of-Thought prompting, Instruction Tuning, and Reinforcement Learning from Human Feedback. The improvements in multimodal learning and…

Alphabet Index Mapping: Jailbreaking LLMs through Semantic Dissimilarity
Bilal Saleh Husain
https://arxiv.org/abs/2506.12685 https://…

Alphabet Index Mapping: Jailbreaking LLMs through Semantic Dissimilarity
Large Language Models (LLMs) have demonstrated remarkable capabilities, yet their susceptibility to adversarial attacks, particularly jailbreaking, poses significant safety and ethical concerns. While numerous jailbreak methods exist, many suffer from computational expense, high token usage, or complex decoding schemes. Liu et al. (2024) introduced FlipAttack, a black-box method that achieves high attack success rates (ASR) through simple prompt manipulation. This paper investigates the underly…

"I Hadn't Thought About That": Creators of Human-like AI Weigh in on Ethics And Neurodivergence
Naba Rizvi, Taggert Smith, Tanvi Vidyala, Mya Bolds, Harper Strickland, Andrew Begel, Rua Williams, Imani Munyaka
https://arxiv.org/abs/2506.12098

"I Hadn't Thought About That": Creators of Human-like AI Weigh in on Ethics And Neurodivergence
Human-like AI agents such as robots and chatbots are becoming increasingly popular, but they present a variety of ethical concerns. The first concern is in how we define humanness, and how our definition impacts communities historically dehumanized by scientific research. Autistic people in particular have been dehumanized by being compared to robots, making it even more important to ensure this marginalization is not reproduced by AI that may promote neuronormative social behaviors. Second, th…

"Mitigating Bias and Advocating for Data Sovereignty: The Role of Metadata and Paradata in Ethical #AI-Driven Information Systems" https://doi.org/10.1080/19386389.2025.2515766

“As design ethicist Aral Balkan explains: ‘Dark patterns might boost short-term metrics, but they ultimately corrode trust and damage brand reputation. Ethical design creates sustainable relationships rather than one-time transactions.’”
https://ui-deploy.com/blog/e…

Ethical Dark Patterns: Identifying and Avoiding Manipulative Design
Learn to identify and avoid manipulative dark patterns in favor of ethical design that builds long-term user trust.

Robust and efficient multiple-unit switchback experimentation
Paul Missault, Lorenzo Masoero, Christian Delb\'e, Thomas Richardson, Guido Imbens
https://arxiv.org/abs/2506.12654

Robust and efficient multiple-unit switchback experimentation
User-randomized A/B testing has emerged as the gold standard for online experimentation. However, when this kind of approach is not feasible due to legal, ethical or practical considerations, experimenters have to consider alternatives like item-randomization. Item-randomization is often met with skepticism due to its poor empirical performance. To fill this gap, in this paper we introduce a novel and rich class of experimental designs, "Regular Balanced Switchback Designs" (RBSDs). At their co…

Safe-Child-LLM: A Developmental Benchmark for Evaluating LLM Safety in Child-AI Interactions
Junfeng Jiao, Saleh Afroogh, Kevin Chen, Abhejay Murali, David Atkinson, Amit Dhurandhar
https://arxiv.org/abs/2506.13510

Safe-Child-LLM: A Developmental Benchmark for Evaluating LLM Safety in Child-AI Interactions
As Large Language Models (LLMs) increasingly power applications used by children and adolescents, ensuring safe and age-appropriate interactions has become an urgent ethical imperative. Despite progress in AI safety, current evaluations predominantly focus on adults, neglecting the unique vulnerabilities of minors engaging with generative AI. We introduce Safe-Child-LLM, a comprehensive benchmark and dataset for systematically assessing LLM safety across two developmental stages: children (7-12…

Feeling Machines: Ethics, Culture, and the Rise of Emotional AI
Vivek Chavan, Arsen Cenaj, Shuyuan Shen, Ariane Bar, Srishti Binwani, Tommaso Del Becaro, Marius Funk, Lynn Greschner, Roberto Hung, Stina Klein, Romina Kleiner, Stefanie Krause, Sylwia Olbrych, Vishvapalsinhji Parmar, Jaleh Sarafraz, Daria Soroko, Daksitha Withanage Don, Chang Zhou, Hoang Thuy Duong Vu, Parastoo Semnani, Daniel Weinhardt, Elisabeth Andre, J\"org Kr\"uger, Xavier Fresquet

Feeling Machines: Ethics, Culture, and the Rise of Emotional AI
This paper explores the growing presence of emotionally responsive artificial intelligence through a critical and interdisciplinary lens. Bringing together the voices of early-career researchers from multiple fields, it explores how AI systems that simulate or interpret human emotions are reshaping our interactions in areas such as education, healthcare, mental health, caregiving, and digital life. The analysis is structured around four central themes: the ethical implications of emotional AI, …

Ethical AI: Towards Defining a Collective Evaluation Framework
Aasish Kumar Sharma, Dimitar Kyosev, Julian Kunkel
https://arxiv.org/abs/2506.00233 https://…

Ethical AI: Towards Defining a Collective Evaluation Framework
Artificial Intelligence (AI) is transforming sectors such as healthcare, finance, and autonomous systems, offering powerful tools for innovation. Yet its rapid integration raises urgent ethical concerns related to data ownership, privacy, and systemic bias. Issues like opaque decision-making, misleading outputs, and unfair treatment in high-stakes domains underscore the need for transparent and accountable AI systems. This article addresses these challenges by proposing a modular ethical assess…

Social Scientists on the Role of AI in Research
Tatiana Chakravorti, Xinyu Wang, Pranav Narayanan Venkit, Sai Koneru, Kevin Munger, Sarah Rajtmajer
https://arxiv.org/abs/2506.11255

Social Scientists on the Role of AI in Research
The integration of artificial intelligence (AI) into social science research practices raises significant technological, methodological, and ethical issues. We present a community-centric study drawing on 284 survey responses and 15 semi-structured interviews with social scientists, describing their familiarity with, perceptions of the usefulness of, and ethical concerns about the use of AI in their field. A crucial innovation in study design is to split our survey sample in half, providing the…

"So often in the study of religion, we rely on published literary materials. This class is really intended to help students—and to help myself—think about the full social, economic, and political life into which what we call religion emerges. Religion is never absent from those very concrete connections.”
—YDS Prof Nasrallah on the travel seminar to Greece and Türkiye for her course

Ethical concerns take a back seat to practical or economic concerns only if a majority of people and power decide they do.
Accepting an ethical compromise is never a given. It is always a choice. Even if it's a choice that gets made by someone else (billionaires, CEOs, political donors, VCs, etc.).
If they're making a choice you don't like, it's time to do something about it.

The best thing in the world that you can do is to help someone else with something they need.
That’s not an ethical mandate, it’s a bit of hedonistic advice. Go help someone. If it doesn’t feel great, you’re not doing it hard enough.

Some creatives and academics are rejecting AI on environmental and ethical grounds, and describe the pressure they feel to use AI to "keep up" with others (Emine Saner/The Guardian)
https://www.theguardian.com/technology/202

This https://arxiv.org/abs/2505.04104 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Position: We Need Responsible, Application-Driven (RAD) AI Research
This position paper argues that achieving meaningful scientific and societal advances with artificial intelligence (AI) requires a responsible, application-driven approach (RAD) to AI research. As AI is increasingly integrated into society, AI researchers must engage with the specific contexts where AI is being applied. This includes being responsive to ethical and legal considerations, technical and societal constraints, and public discourse. We present the case for RAD-AI to drive research th…

Some creatives and academics are rejecting AI on environmental and ethical grounds, and describe the pressure they feel to use AI to "keep up" with others (Emine Saner/The Guardian)
https://www.theguardian.com/technology/202

We Animals Media – Bringing visibility to hidden animals worldwide through compelling photo and videojournalism. #AnimalRights

We Animals | Animal Photojournalism
Our mission at We Animals is to advocate for animals through photojournalism. Our global investigations and stories expose our complex relationships with animals, create ethical and cultural shifts in society, and empower human capacity for compassion and change.

Data-Centric Safety and Ethical Measures for Data and AI Governance
Srija Chakraborty
https://arxiv.org/abs/2506.10217 https://arxiv.…

Data-Centric Safety and Ethical Measures for Data and AI Governance
Datasets play a key role in imparting advanced capabilities to artificial intelligence (AI) foundation models that can be adapted to various downstream tasks. These downstream applications can introduce both beneficial and harmful capabilities -- resulting in dual use AI foundation models, with various technical and regulatory approaches to monitor and manage these risks. However, despite the crucial role of datasets, responsible dataset design and ensuring data-centric safety and ethical pract…

Where's the Line? A Classroom Activity on Ethical and Constructive Use of Generative AI in Physics
Zosia Krusberg
https://arxiv.org/abs/2506.00229 http…

Where's the Line? A Classroom Activity on Ethical and Constructive Use of Generative AI in Physics
Generative AI tools like ChatGPT are rapidly reshaping how students and instructors engage with course material-and how they think about academic integrity. This paper presents a classroom activity designed to help physics students critically examine the ethical and educational implications of using AI in coursework. Through a structured sequence of case analysis, discussion, and optional policy drafting, students develop the metacognitive, ethical, and collaborative skills needed to navigate e…

Via OccupyDemocrats on FB: 'a formal complaint was filed with the Florida Bar accusing Pam Bondi of "serious professional misconduct" in her current job. ~70 law professors, attorneys, and former FL Supreme Court justices Pariente and Quince filed the complaint. In it, they accuse the AG of violating her ethical duties and engaging in "serious professional misconduct that threatens the rule of law and the administration of justice." '

On the Ethics of Using LLMs for Offensive Security
Andreas Happe, J\"urgen Cito
https://arxiv.org/abs/2506.08693 https://arxiv.o…

On the Ethics of Using LLMs for Offensive Security
Large Language Models (LLMs) have rapidly evolved over the past few years and are currently evaluated for their efficacy within the domain of offensive cyber-security. While initial forays showcase the potential of LLMs to enhance security research, they also raise critical ethical concerns regarding the dual-use of offensive security tooling. This paper analyzes a set of papers that leverage LLMs for offensive security, focusing on how ethical considerations are expressed and justified in th…

MAMBO: High-Resolution Generative Approach for Mammography Images
Milica \v{S}kipina, Nikola Jovi\v{s}i\'c, Nicola Dall'Asen, Vanja \v{S}venda, Anil Osman Tur, Slobodan Ili\'c, Elisa Ricci, Dubravko \'Culibrk
https://arxiv.org/abs/2506.08677

MAMBO: High-Resolution Generative Approach for Mammography Images
Mammography is the gold standard for the detection and diagnosis of breast cancer. This procedure can be significantly enhanced with Artificial Intelligence (AI)-based software, which assists radiologists in identifying abnormalities. However, training AI systems requires large and diverse datasets, which are often difficult to obtain due to privacy and ethical constraints. To address this issue, the paper introduces MAMmography ensemBle mOdel (MAMBO), a novel patch-based diffusion approach des…

Immersive Fantasy Based on Digital Nostalgia: Environmental Narratives for the Korean Millennials and Gen Z
Yerin Doh, Joonhyung Bae
https://arxiv.org/abs/2506.10013

Immersive Fantasy Based on Digital Nostalgia: Environmental Narratives for the Korean Millennials and Gen Z
This study introduces the media artwork Dear Passenger, Please Wear a Mask, designed to offer a layered exploration of single-use mask waste, which escalated during the COVID-19 pandemic. The piece reframes underappreciated ecological concerns by interweaving digital nostalgia and airline travel recollections of Millennials and Gen Z with a unique fantasy narrative. Via a point-and-click game and an immersive exhibition, participants traverse both virtual and real domains, facing ethical and en…

I am noticing that many websites are no longer giving cookie choices, rather they merely say "we are spying on you" (they use nicer words, but that is the meaning) with only one option:
"I Understand".
To my mind that knocks out the last prop underneath website operators' argument that those of us with ad blockers (and more) are somehow on the wrong side of the ethical fence.

This https://arxiv.org/abs/2505.13182 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLO_…

Information Science Principles of Machine Learning: A Causal Chain Meta-Framework Based on Formalized Information Mapping
[Objective] This study focuses on addressing the current lack of a unified formal theoretical framework in machine learning, as well as the deficiencies in interpretability and ethical safety assurance. [Methods] A formal information model is first constructed, utilizing sets of well-formed formulas to explicitly define the ontological states and carrier mappings of typical components in machine learning. Learnable and processable predicates, along with learning and processing functions, are in…

Designing Effective LLM-Assisted Interfaces for Curriculum Development
Abdolali Faraji, Mohammadreza Tavakoli, Mohammad Moein, Mohammadreza Molavi, G\'abor Kismih\'ok
https://arxiv.org/abs/2506.11767

Designing Effective LLM-Assisted Interfaces for Curriculum Development
Large Language Models (LLMs) have the potential to transform the way a dynamic curriculum can be delivered. However, educators face significant challenges in interacting with these models, particularly due to complex prompt engineering and usability issues, which increase workload. Additionally, inaccuracies in LLM outputs can raise issues around output quality and ethical concerns in educational content delivery. Addressing these issues requires careful oversight, best achieved through coopera…

Behold :) My new #cybersecurity talk is ready and you can see it in the best events around you.
Title: The archetypes of the attackers.
Summary: This talk will lead you on a journey to discover the archetypes of attackers, the tools they use, their motivations for targeting what you've built, and how a geopolitical shift can alter their interest in your resources.

Bogomil Shopov - Бого's Speaker Profile
Human. Artist. Hacker. I care about free and open-source software(F/LOSS), cybersecurity, ethical design, privacy, and technology. 20+ experience in t...

Common Corpus: The Largest Collection of Ethical Data for LLM Pre-Training
Pierre-Carl Langlais, Carlos Rosas Hinostroza, Mattia Nee, Catherine Arnett, Pavel Chizhov, Eliot Krzystof Jones, Ir\`ene Girard, David Mach, Anastasia Stasenko, Ivan P. Yamshchikov
https://arxiv.org/abs/2506.01732

Common Corpus: The Largest Collection of Ethical Data for LLM Pre-Training
Large Language Models (LLMs) are pre-trained on large amounts of data from different sources and domains. These data most often contain trillions of tokens with large portions of copyrighted or proprietary content, which hinders the usage of such models under AI legislation. This raises the need for truly open pre-training data that is compliant with the data security regulations. In this paper, we introduce Common Corpus, the largest open dataset for language model pre-training. The data assem…

Week 1 - #EroticMusings Setting — Is sexuality suppressed or celebrated in your setting? Is the setting erotic in its own right?
Writing in German, but still wanted to participate here. In Erytan, where at least the first five novels take place, sexuality is not only celebrated. Ethical BDSM is governing every aspect of culture, including the aspect that the official title of the q…

This https://arxiv.org/abs/2505.15173 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

AvatarShield: Visual Reinforcement Learning for Human-Centric Video Forgery Detection
The rapid advancement of Artificial Intelligence Generated Content (AIGC) technologies, particularly in video generation, has led to unprecedented creative capabilities but also increased threats to information integrity, identity security, and public trust. Existing detection methods, while effective in general scenarios, lack robust solutions for human-centric videos, which pose greater risks due to their realism and potential for legal and ethical misuse. Moreover, current detection approach…

Anybody know of general ethical frameworks around involving LLMs in research? Like studying how people interact with them, respond to prompts etc?
How should IRBs judge these kinds of proposals, what should the guardrails be, etc.

Is PMBOK Guide the Right Fit for AI? Re-evaluating Project Management in the Face of Artificial Intelligence Projects
Alexey Burdakov, Max Jaihyun Ahn
https://arxiv.org/abs/2506.02214

Is PMBOK Guide the Right Fit for AI? Re-evaluating Project Management in the Face of Artificial Intelligence Projects
This paper critically evaluates the applicability of the Project Management Body of Knowledge (PMBOK) Guide framework to Artificial Intelligence (AI) software projects, highlighting key limitations and proposing tailored adaptations. Unlike traditional projects, AI initiatives rely heavily on complex data, iterative experimentation, and specialized expertise while navigating significant ethical considerations. Our analysis identifies gaps in the PMBOK Guide, including its limited focus on data …

This is your regular reminder that open source, self-hosting tools are great AND you don't actually have to host them yourself most of the time! Plenty of great companies offer these tools as a paid-for service - exactly like the subscriptions you have on those other platforms, except more ethical.
I'll share my favourites in the thread - please add yours!

Scientists who review manuscripts for journals, question for you! Journal B invites a reviewer who has already recommended rejection when the manuscript was being considered by Journal A. In terms of the ethical thing to do when this #reviewer is invited to review the same #manuscript for Journal B.....
It is OK to agree and then submit the same review
It is NOT OK to agree and submit the same review

This https://arxiv.org/abs/2506.01495 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

CVC: A Large-Scale Chinese Value Rule Corpus for Value Alignment of Large Language Models
Ensuring that Large Language Models (LLMs) align with mainstream human values and ethical norms is crucial for the safe and sustainable development of AI. Current value evaluation and alignment are constrained by Western cultural bias and incomplete domestic frameworks reliant on non-native rules; furthermore, the lack of scalable, rule-driven scenario generation methods makes evaluations costly and inadequate across diverse cultural contexts. To address these challenges, we propose a hierarchi…

This https://arxiv.org/abs/2410.09510 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDL_…

SciEvo: A 2 Million, 30-Year Cross-disciplinary Dataset for Temporal Scientometric Analysis
Understanding the creation, evolution, and dissemination of scientific knowledge is crucial for bridging diverse subject areas and addressing complex global challenges such as pandemics, climate change, and ethical AI. Scientometrics, the quantitative and qualitative study of scientific literature, provides valuable insights into these processes. We introduce SciEvo, a longitudinal scientometric dataset with over two million academic publications, providing comprehensive contents information an…

Ah, FFOTUS' judicial appointments reach the bottom of the barrel - even Bork was far better as a judge and more ethical.
"Ex-Trump defense lawyer Emil Bove, a top Justice Department official, is picked to be federal judge"
https://ap…

Ex-Trump lawyer Emil Bove, a top Justice Department official, is picked to be federal judge
President Donald Trump says he's nominating his former criminal defense lawyer Emil Bove to become a federal appeals court judge. As a high-ranking Justice Department official, Bove was behind the controversial move to drop the corruption case against New York City Mayor Eric Adams as well as some of the agency’s most scrutinized actions since Trump’s return to the White House in January. Trump has picked Bove to fill a vacancy on the 3rd U.S. Circuit Court of Appeals, which hears cases fro…

This https://arxiv.org/abs/2505.13182 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLO_…

Information Science Principles of Machine Learning: A Causal Chain Meta-Framework Based on Formalized Information Mapping
[Objective] This study focuses on addressing the current lack of a unified formal theoretical framework in machine learning, as well as the deficiencies in interpretability and ethical safety assurance. [Methods] A formal information model is first constructed, utilizing sets of well-formed formulas to explicitly define the ontological states and carrier mappings of typical components in machine learning. Learnable and processable predicates, along with learning and processing functions, are in…

A Framework for Ethical Judgment of Smart City Applications
Weichen Shi
https://arxiv.org/abs/2506.05172 https://arxiv.org/pdf/2506.0…

A Framework for Ethical Judgment of Smart City Applications
As modern cities increasingly adopt a variety of sensors and Internet of Things (IoT) technologies to collect and analyze data about residents, environments, and public services, they are fostering greater interactions among smart city applications, residents, governments, and businesses. This trend makes it essential for regulators to focus on these interactions to manage smart city practices effectively and prevent unethical outcomes. To facilitate ethical analysis for smart city applications…

Promoting Europe’s Independence in #WebSearch
Today, the #OpenWebSearch.eu consortium (https://openwebsearch.eu/) released a pilot of a new infrastructure that aims to make European web search fairer, more transparent and commercially unbiased.
https://home.cern/news/news/computing/european-project-make-web-search-more-open-and-ethical

Silence is Golden: Leveraging Adversarial Examples to Nullify Audio Control in LDM-based Talking-Head Generation
Yuan Gan, Jiaxu Miao, Yunze Wang, Yi Yang
https://arxiv.org/abs/2506.01591

Silence is Golden: Leveraging Adversarial Examples to Nullify Audio Control in LDM-based Talking-Head Generation
Advances in talking-head animation based on Latent Diffusion Models (LDM) enable the creation of highly realistic, synchronized videos. These fabricated videos are indistinguishable from real ones, increasing the risk of potential misuse for scams, political manipulation, and misinformation. Hence, addressing these ethical concerns has become a pressing issue in AI security. Recent proactive defense studies focused on countering LDM-based models by adding perturbations to portraits. However, th…

The Ultimate Test of Superintelligent AI Agents: Can an AI Balance Care and Control in Asymmetric Relationships?
Djallel Bouneffouf, Matthew Riemer, Kush Varshney
https://arxiv.org/abs/2506.01813

The Ultimate Test of Superintelligent AI Agents: Can an AI Balance Care and Control in Asymmetric Relationships?
This paper introduces the Shepherd Test, a new conceptual test for assessing the moral and relational dimensions of superintelligent artificial agents. The test is inspired by human interactions with animals, where ethical considerations about care, manipulation, and consumption arise in contexts of asymmetric power and self-preservation. We argue that AI crosses an important, and potentially dangerous, threshold of intelligence when it exhibits the ability to manipulate, nurture, and instrumen…

FERRET: Private Deep Learning Faster And Better Than DPSGD
David Zagardo
https://arxiv.org/abs/2506.05416 https://arxiv.org/pdf/2506.…

FERRET: Private Deep Learning Faster And Better Than DPSGD
We revisit 1-bit gradient compression through the lens of mutual-information differential privacy (MI-DP). Building on signSGD, we propose FERRET--Fast and Effective Restricted Release for Ethical Training--which transmits at most one sign bit per parameter group with Bernoulli masking. Theory: We prove each fired group leaks at most ln 2 nats; after subsampling with rate s, the total privacy loss of G groups trained for T steps with firing probability p is epsilon = G * T * s * p * ln 2. Thu…

DeepFake Doctor: Diagnosing and Treating Audio-Video Fake Detection
Marcel Klemt, Carlotta Segna, Anna Rohrbach
https://arxiv.org/abs/2506.05851 https://…

DeepFake Doctor: Diagnosing and Treating Audio-Video Fake Detection
Generative AI advances rapidly, allowing the creation of very realistic manipulated video and audio. This progress presents a significant security and ethical threat, as malicious users can exploit DeepFake techniques to spread misinformation. Recent DeepFake detection approaches explore the multimodal (audio-video) threat scenario. In particular, there is a lack of reproducibility and critical issues with existing datasets - such as the recently uncovered silence shortcut in the widely used Fa…

The Turn to Practice in Design Ethics: Characteristics and Future Research Directions for HCI Research
Gizem \"Oz, Christian Dindler, Sharon Lindberg
https://arxiv.org/abs/2506.06055

The Turn to Practice in Design Ethics: Characteristics and Future Research Directions for HCI Research
As emerging technologies continue to shape society, there is a growing emphasis on the need to engage with design ethics as it unfolds in practice to better capture the complexities of ethical considerations embedded in day-to-day work. Positioned within the broader "turn to practice" in HCI, the review characterizes this body of work in terms of its motivations, conceptual frameworks, methodologies, and contributions across a range of design disciplines and academic databases. The findings rev…

Toward Effective AI Governance: A Review of Principles
Danilo Ribeiro, Thayssa Rocha, Gustavo Pinto, Bruno Cartaxo, Marcelo Amaral, Nicole Davila, Ana Camargo
https://arxiv.org/abs/2505.23417

Toward Effective AI Governance: A Review of Principles
Artificial Intelligence (AI) governance is the practice of establishing frameworks, policies, and procedures to ensure the responsible, ethical, and safe development and deployment of AI systems. Although AI governance is a core pillar of Responsible AI, current literature still lacks synthesis across such governance frameworks and practices. Objective: To identify which frameworks, principles, mechanisms, and stakeholder roles are emphasized in secondary literature on AI governance. Method: We…

Estimands for Randomized Discontinuation Designs in Oncology
Ayon Mukherjee, Oleksandr Sverdlov, Ngoc-Thuy Ha, Yu Deng
https://arxiv.org/abs/2506.00556 htt…

Estimands for Randomized Discontinuation Designs in Oncology
Randomized discontinuation design (RDD) is an enrichment strategy commonly used to address limitations of traditional placebo-controlled trials, particularly the ethical concern of prolonged placebo exposure. RDD consists of two phases: an initial open-label phase in which all eligible patients receive the investigational medicinal product (IMP), followed by a double-blind phase in which responders are randomized to continue with the IMP or switch to placebo. This design tests whether the IMP p…

This https://arxiv.org/abs/2505.13182 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLO_…

Information Science Principles of Machine Learning: A Causal Chain Meta-Framework Based on Formalized Information Mapping
[Objective] This study focuses on addressing the current lack of a unified formal theoretical framework in machine learning, as well as the deficiencies in interpretability and ethical safety assurance. [Methods] A formal information model is first constructed, utilizing sets of well-formed formulas to explicitly define the ontological states and carrier mappings of typical components in machine learning. Learnable and processable predicates, along with learning and processing functions, are in…

Alignment Revisited: Are Large Language Models Consistent in Stated and Revealed Preferences?
Zhuojun Gu, Quan Wang, Shuchu Han
https://arxiv.org/abs/2506.00751

Alignment Revisited: Are Large Language Models Consistent in Stated and Revealed Preferences?
Recent advances in Large Language Models (LLMs) highlight the need to align their behaviors with human values. A critical, yet understudied, issue is the potential divergence between an LLM's stated preferences (its reported alignment with general principles) and its revealed preferences (inferred from decisions in contextualized scenarios). Such deviations raise fundamental concerns for the interpretability, trustworthiness, reasoning transparency, and ethical deployment of LLMs, particularly …

Whole-Person Education for AI Engineers
Rubaina Khan, Tammy Mackenzie, Sreyoshi Bhaduri, Animesh Paul, Branislav Radelji\'c, Joshua Owusu Ansah, Beyza Nur Guler, Indrani Bhaduri, Rodney Kimbangu, Nils Ever Murrugarra Llerena, Hayoung Shin, Lilianny Virguez, Rosa Paccotacya Yanque, Thomas Mekha\"el, Allen Munoriyarwa, Leslie Salgado, Debarati Basu, Curwyn Mapaling, Natalie Perez, Yves Gaudet, Paula Larrondo

Whole-Person Education for AI Engineers
This autoethnographic study explores the need for interdisciplinary education spanning both technical and philosophical skills - as such, this study leverages whole-person education as a theoretical approach needed in AI engineering education to address the limitations of current paradigms that prioritize technical expertise over ethical and societal considerations. Drawing on a collaborative autoethnography approach of fourteen diverse stakeholders, the study identifies key motivations driving…

You know what would be really cool? A #quantifiedself person influence monitor. Say I have a #Fitbit and Joe has a Fitbit, we could have them detect when we are in proximity (if both people agreed) and then it would let us know over time how being around the other person influenced us - e.g. did heart rate variability increase or decrease (do they relax us or cause stress), did we burn more calories (maybe we usually go on hikes together), did we sleep better that night, and so on.
There are definitely people in my life who I'm pretty sure have significant effects on me in both directions, it'd be awesome to quantify them.
It would also be cool if one could do this without data sharing - e.g. maybe one presses a button on ones device to indicate one has entered x's presence and again when one has exited...
Honestly, I'd totally forget to do this...so something passive would be better - e.g. when you want to start tracking the next time you are around someone you press a button and it scans for electronic signatures and identifies Bluetooth etc. uniquely so that when you are around then it auto knows and can record...
The latter raises issues of #consent and #privacy...I'm not sure how/if one could do this in an ethical manner...but I'd like to have it 😂

This https://arxiv.org/abs/2503.16456 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Position: Beyond Assistance -- Reimagining LLMs as Ethical and Adaptive Co-Creators in Mental Health Care
This position paper argues for a fundamental shift in how Large Language Models (LLMs) are integrated into the mental health care domain. We advocate for their role as co-creators rather than mere assistive tools. While LLMs have the potential to enhance accessibility, personalization, and crisis intervention, their adoption remains limited due to concerns about bias, evaluation, over-reliance, dehumanization, and regulatory uncertainties. To address these challenges, we propose two structured …

This https://arxiv.org/abs/2405.02696 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

DiffuseTrace: A Transparent and Flexible Watermarking Scheme for Latent Diffusion Model
Latent Diffusion Models (LDMs) enable a wide range of applications but raise ethical concerns regarding illegal utilization. Adding watermarks to generative model outputs is a vital technique employed for copyright tracking and mitigating potential risks associated with Artificial Intelligence (AI)-generated contents. However, post-processed watermarking methods are unable to withstand generative watermark attacks and there exists a trade-off between image fidelity and watermark strength. There…

This https://arxiv.org/abs/2504.02769 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDL_…

Curbing the Ramifications of Authorship Abuse in Science
Research performance is often measured using bibliometric indicators, such as publication count, total citations, and $h$-index. These metrics influence career advancements, salary adjustments, administrative opportunities, funding prospects, and professional recognition. However, the reliance on these metrics has also made them targets for manipulation, misuse, and abuse. One primary ethical concern is authorship abuse, which includes paid, ornamental, exploitative, cartel, and colonial author…

This https://arxiv.org/abs/2505.13182 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLO_…

Information Science Principles of Machine Learning: A Causal Chain Meta-Framework Based on Formalized Information Mapping
[Objective] This study focuses on addressing the current lack of a unified formal theoretical framework in machine learning, as well as the deficiencies in interpretability and ethical safety assurance. [Methods] A formal information model is first constructed, utilizing sets of well-formed formulas to explicitly define the ontological states and carrier mappings of typical components in machine learning. Learnable and processable predicates, along with learning and processing functions, are in…

Evaluating AI-Powered Learning Assistants in Engineering Higher Education: Student Engagement, Ethical Challenges, and Policy Implications
Ramteja Sajja, Yusuf Sermet, Brian Fodale, Ibrahim Demir
https://arxiv.org/abs/2506.05699

Can LLMs Talk 'Sex'? Exploring How AI Models Handle Intimate Conversations
Huiqian Lai
https://arxiv.org/abs/2506.05514 https://

Can LLMs Talk 'Sex'? Exploring How AI Models Handle Intimate Conversations
This study examines how four prominent large language models (Claude 3.7 Sonnet, GPT-4o, Gemini 2.5 Flash, and Deepseek-V3) handle sexually oriented requests through qualitative content analysis. By evaluating responses to prompts ranging from explicitly sexual to educational and neutral control scenarios, the research reveals distinct moderation paradigms reflecting fundamentally divergent ethical positions. Claude 3.7 Sonnet employs strict and consistent prohibitions, while GPT-4o navigates u…

Validation of the Critical Reflection and Agency in Computing Index: Do Computing Ethics Courses Make a Difference?
Aadarsh Padiyath, Casey Fiesler, Mark Guzdial, Barbara Ericson
https://arxiv.org/abs/2506.06193

Validation of the Critical Reflection and Agency in Computing Index: Do Computing Ethics Courses Make a Difference?
Computing ethics education aims to develop students' critical reflection and agency. We need validated ways to measure whether our efforts succeed. Through two survey administrations (N=474, N=464) with computing students and professionals, we provide evidence for the validity of the Critical Reflection and Agency in Computing Index. Our psychometric analyses demonstrate distinct dimensions of ethical development and show strong reliability and construct validity. Participants who completed com…

This https://arxiv.org/abs/2504.02856 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

The epistemic dimension of algorithmic fairness: assessing its impact in innovation diffusion and fair policy making
Algorithmic fairness is an expanding field that addresses a range of discrimination issues associated with algorithmic processes. However, most works in the literature focus on analyzing it only from an ethical perspective, focusing on moral principles and values that should be considered in the design and evaluation of algorithms, while disregarding the epistemic dimension related to knowledge transmission and validation. However, this aspect of algorithmic fairness should also be included in …

Feeling Guilty Being a c(ai)borg: Navigating the Tensions Between Guilt and Empowerment in AI Use
Konstantin Aal, Tanja Aal, Vasil Navumau, David Unbehaun, Claudia M\"uller, Volker Wulf, Sarah R\"uller
https://arxiv.org/abs/2506.00094

Feeling Guilty Being a c(ai)borg: Navigating the Tensions Between Guilt and Empowerment in AI Use
This paper explores the emotional, ethical and practical dimensions of integrating Artificial Intelligence (AI) into personal and professional workflows, focusing on the concept of feeling guilty as a 'c(ai)borg' - a human augmented by AI. Inspired by Donna Haraway's Cyborg Manifesto, the study explores how AI challenges traditional notions of creativity, originality and intellectual labour. Using an autoethnographic approach, the authors reflect on their year-long experiences with AI tools, re…

Will Agents Replace Us? Perceptions of Autonomous Multi-Agent AI
Nikola Balic
https://arxiv.org/abs/2506.02055 https://arxiv.org/pdf/…

Will Agents Replace Us? Perceptions of Autonomous Multi-Agent AI
Autonomous multi-agent AI systems are poised to transform various industries, particularly software development and knowledge work. Understanding current perceptions among professionals is crucial for anticipating adoption challenges, ethical considerations, and future workforce development. This study analyzes responses from 130 participants to a survey on the capabilities, impact, and governance of AI agents. We explore expected timelines for AI replacing programmers, identify perceived barri…

Generative Knowledge Production Pipeline Driven by Academic Influencers
Katalin Feher, Marton Demeter
https://arxiv.org/abs/2505.24681 https://

Generative Knowledge Production Pipeline Driven by Academic Influencers
Generative AI transforms knowledge production, validation, and dissemination, raising academic integrity and credibility concerns. This study examines 53 academic influencer videos that reached 5.3 million viewers to identify an emerging, structured, implementation-ready pipeline balancing originality, ethical compliance, and human-AI collaboration despite the disruptive impacts. Findings highlight generative AI's potential to automate publication workflows and democratize participation in know…

Exposing the Impact of GenAI for Cybercrime: An Investigation into the Dark Side
Truong (Jack), Luu, Binny M. Samuel
https://arxiv.org/abs/2505.23733 http…

Exposing the Impact of GenAI for Cybercrime: An Investigation into the Dark Side
In recent years, the rapid advancement and democratization of generative AI models have sparked significant debate over safety, ethical risks, and dual-use concerns, particularly in the context of cybersecurity. While anecdotally known, this paper provides empirical evidence regarding generative AI's association with malicious internet-related activities and cybercrime by examining the phenomenon through psychological frameworks of technological amplification and affordance theory. Using a quas…

This https://arxiv.org/abs/2502.16644 has been replaced.
link: https://scholar.google.com/scholar?q=a

Mapping out AI Functions in Intelligent Disaster (Mis)Management and AI-Caused Disasters
This study maps the functions of artificial intelligence in disaster (mis)management. It begins with a classification of disasters in terms of their causal parameters, introducing hypothetical cases of independent or hybrid AI-caused disasters. We then overview the role of AI in disaster management and mismanagement, where the latter includes possible ethical repercussions of the use of AI in intelligent disaster management (IDM), as well as ways to prevent or mitigate these issues, which inclu…