Tootfinder

AI Human Impact: Toward a Model for Ethical Investing in AI-Intensive Companies
James Brusseau
https://arxiv.org/abs/2507.07703 https://

AI Human Impact: Toward a Model for Ethical Investing in AI-Intensive Companies
Does AI conform to humans, or will we conform to AI? An ethical evaluation of AI-intensive companies will allow investors to knowledgeably participate in the decision. The evaluation is built from nine performance indicators that can be analyzed and scored to reflect a technology's human-centering. The result is objective investment guidance, as well as investors empowered to act in accordance with their own values. Incorporating ethics into financial decisions is a strategy that will be recogn…

Malaysia Charts Its Digital Course: A Guide to the New Frameworks for Data Protection and AI Ethics
https://fpf.org/blog/malaysia-charts-its-digital-course-a-guide-to-the-new-frameworks-for-data-protection-and…

Another of my forays into AI ethics is just out! This time the focus is on the ethics (or lack thereof) of Reinforcement Learning Feedback (RLF) techniques aimed at increasing the 'alignment' of LLMs.
The paper is fruit of the joint work of a great team of collaborators, among whom @… and @…

Helpful, harmless, honest? Sociotechnical limits of AI alignment and safety through Reinforcement Learning from Human Feedback - Ethics and Information Technology
This paper critically evaluates the attempts to align Artificial Intelligence (AI) systems, especially Large Language Models (LLMs), with human values and intentions through Reinforcement Learning from Feedback methods, involving either human feedback (RLHF) or AI feedback (RLAIF). Specifically, we show the shortcomings of the broadly pursued alignment goals of honesty, harmlessness, and helpfulness. Through a multidisciplinary sociotechnical critique, we examine both the theoretical underpinni…

The Ethical Implications of AI in Creative Industries: A Focus on AI-Generated Art
Prerana Khatiwada, Joshua Washington, Tyler Walsh, Ahmed Saif Hamed, Lokesh Bhatta
https://arxiv.org/abs/2507.05549

The Ethical Implications of AI in Creative Industries: A Focus on AI-Generated Art
As Artificial Intelligence (AI) continues to grow daily, more exciting (and somewhat controversial) technology emerges every other day. As we see the advancements in AI, we see more and more people becoming skeptical of it. This paper explores the complications and confusion around the ethics of generative AI art. We delve deep into the ethical side of AI, specifically generative art. We step back from the excitement and observe the impossible conundrums that this impressive technology produces…

(1/2) Can you trust what you hear? 🎧 Episode 344 of the EdTech Situation Room (from 15 Jan 2025) explores AI voice tech, misinformation, and media ethics in the digital age.
on Substack:
https://open.substack.com/p…

Replaced article(s) found for cs.ET. https://arxiv.org/list/cs.ET/new/
[1/1]:
AI as Decision-Maker: Ethics and Risk Preferences of LLMs
https://

At my keynote for the 2025 Acadia Ethics Conference, a number of clinical therapists in attendance surprised me by embracing AI's potential to bridge mental health gaps and even flag anxiety-producing items in their offices from a single photo.
https://www.

Dorothea Baur reflecting on #AI tech bros going all in on even your most personal data. Claiming to help you solve a problem which they helped create in the beginning:
"A breach of trust enabled by AI now becomes the justification for surveillance-based trust systems. And the very people who helped break the system are offering to fix it – in exchange for your iris. That’s not a safety fe…

Replaced article(s) found for econ.GN. https://arxiv.org/list/econ.GN/new/
[1/1]:
AI as Decision-Maker: Ethics and Risk Preferences of LLMs
https:…

I'm still gathering my thoughts on these AI-written papers passing peer review.
One thing that stands out though, is that it's a pretty clear ethics violation (since it's deception of reviewers without a debrief).
Yes it's a minor and possibly justifiable violation, but that kind of thing is only justifiable if your main claim is evaluated and published according to scientific principles.
The main claim here is "AI can write papers that pass peer revi…

'The Responsible AI Ecosystem: Seven Lessons from the BRAID Landscape Study'
Report just released: https://braiduk.org/the-responsible-ai-ecosystem-seven-lessons-from-the-braid-landscape-study

The Responsible AI Ecosystem: Seven Lessons from the BRAID Landscape Study

Q&A with Hugging Face Chief Ethics Scientist Margaret Mitchell on aligning AI development with human needs, the "illusion of consensus" around AGI, and more (Melissa Heikkilä/Financial Times)
https://www.ft.com/content/7089bff2-25fc-4a25-98bf-8828ab24…

Margaret Mitchell: artificial general intelligence is ‘just vibes and snake oil’
One of the pioneers of AI ethics explains why human needs should be the central driver in the development of the technology

Ethics by Design: A Lifecycle Framework for Trustworthy AI in Medical Imaging From Transparent Data Governance to Clinically Validated Deployment
Umer Sadiq Khan, Saif Ur Rehman Khan
https://arxiv.org/abs/2507.04249

Ethics by Design: A Lifecycle Framework for Trustworthy AI in Medical Imaging From Transparent Data Governance to Clinically Validated Deployment
The integration of artificial intelligence (AI) in medical imaging raises crucial ethical concerns at every stage of its development, from data collection to deployment. Addressing these concerns is essential for ensuring that AI systems are developed and implemented in a manner that respects patient rights and promotes fairness. This study aims to explore the ethical implications of AI in medical imaging, focusing on five key stages: data collection, data processing, model training, model eval…

"After The Great AI Ethics War, the lines were drawn. Embarrassing deepfakes had been sent and data centers had been destroyed, but we came out the other side wiser and stronger because of it."

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, …

A Practical SAFE-AI Framework for Small and Medium-Sized Enterprises Developing Medical Artificial Intelligence Ethics Policies
Ion Nemteanu, Adir Mancebo Jr., Leslie Joe, Ryan Lopez, Patricia Lopez, Warren Woodrich Pettine
https://arxiv.org/abs/2507.01304

A Practical SAFE-AI Framework for Small and Medium-Sized Enterprises Developing Medical Artificial Intelligence Ethics Policies
Artificial intelligence (AI) offers incredible possibilities for patient care, but raises significant ethical issues, such as the potential for bias. Powerful ethical frameworks exist to minimize these issues, but are often developed for academic or regulatory environments and tend to be comprehensive but overly prescriptive, making them difficult to operationalize within fast-paced, resource-constrained environments. We introduce the Scalable Agile Framework for Execution in AI (SAFE-AI) desig…

Epitome: Pioneering an Experimental Platform for AI-Social Science Integration
Jingjing Qu, Kejia Hu, Jun Zhu, Wenhao Li, Teng Wang, Zhiyun Chen, Yulei Ye, Chaochao Lu, Aimin Zhou, Xiangfeng Wang, James Evan
https://arxiv.org/abs/2507.01061

Epitome: Pioneering an Experimental Platform for AI-Social Science Integration
The integration of Large Language Models (LLMs) into social science experiments represents a transformative approach to understanding human-AI interactions and their societal impacts. We introduce Epitome, the world's first open experimental platform dedicated to the deep integration of artificial intelligence and social science. Rooted in theoretical foundations from management, communication studies, sociology, psychology, and ethics, Epitome focuses on the interactive impacts of AI on indivi…

This https://arxiv.org/abs/2505.02945 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

The Cognitive Foundations of Economic Exchange: A Modular Framework Grounded in Behavioral Evidence
A key challenge in multi-agent AI is modeling social cooperation under realistic behavioral constraints. Many foundational concepts in economics and ethics such as "trust" or "morality" are often defined informally, without operational criteria or cognitive grounding, which limits their testability and implementation in artificial agents. Drawing on converging empirical evidence from primate behavior, infant cognition, and economic anthropology, we propose a conceptual framework composed of thr…

Hello there.
I, or maybe we, intend this to serve both as a diary and a reference.
We are a jack of many trades. As such, it is hard to squeeze into 1.5k symbols, and it is by no means comprehensive. Still, sometimes labels are helpful.
Here is about IT, interconnections between technologies (Fullstack, Data Science... sometimes even AI and ethics of it). Politics, because our life is inevitably tied to it (especially with

"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…

The Ethics of Generative AI in Anonymous Spaces: A Case Study of 4chan's /pol/ Board
Parth Gaba, Emiliano De Cristofaro
https://arxiv.org/abs/2506.14191

The Ethics of Generative AI in Anonymous Spaces: A Case Study of 4chan's /pol/ Board
This paper presents a characterization of AI-generated images shared on 4chan, examining how this anonymous online community is (mis-)using generative image technologies. Through a methodical data collection process, we gathered 900 images from 4chan's /pol/ (Politically Incorrect) board, which included the label "/mwg/" (memetic warfare general), between April and July 2024, identifying 66 unique AI-generated images. The analysis reveals concerning patterns in the use of this technology, with …

SocialCredit
Thabassum Aslam, Anees Aslam
https://arxiv.org/abs/2506.12099 https://arxiv.org/pdf/2506.12099

SocialCredit+
SocialCredit+ is AI powered credit scoring system that leverages publicly available social media data to augment traditional credit evaluation. It uses a conversational banking assistant to gather user consent and fetch public profiles. Multimodal feature extractors analyze posts, bios, images, and friend networks to generate a rich behavioral profile. A specialized Sharia-compliance layer flags any non-halal indicators and prohibited financial behavior based on Islamic ethics. The platform emp…