Papers Ethics
“Ethics” 태그가 달린 논문 832편 · 필터 해제
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 …
EthicsMisinformationFeeling 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 …
EthicsNavigateAdvances 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 ma…
Computational EfficiencyEthicsSurveyExtended Creativity: A Conceptual Framework for Understanding Human-AI Creative Relations
Artificial Intelligence holds significant potential to enhance human creativity. However, achieving this vision requires a clearer understanding of how such enhancement can be effectively realized. Drawing on a relationa…
EthicsSocialCredit+
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 …
Credit scoreEthicsRetrieval-augmented Generation"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 communit…
EthicsSurgeons Awareness, Expectations, and Involvement with Artificial Intelligence: a Survey Pre and Post the GPT Era
Artificial Intelligence (AI) is transforming medicine, with generative AI models like ChatGPT reshaping perceptions of its potential. This study examines surgeons' awareness, expectations, and involvement with AI in surg…
EthicsMIRA: Medical Time Series Foundation Model for Real-World Health Data
A unified foundation model for medical time series -- pretrained on open access and ethics board-approved medical corpora -- offers the potential to reduce annotation burdens, minimize model customization, and enable rob…
EthicsMissing ValuesMixture-of-ExpertsTime Series+1FG 2025 TrustFAA: the First Workshop on Towards Trustworthy Facial Affect Analysis: Advancing Insights of Fairness, Explainability, and Safety (TrustFAA)
With the increasing prevalence and deployment of Emotion AI-powered facial affect analysis (FAA) tools, concerns about the trustworthiness of these systems have become more prominent. This first workshop on "Towards Trus…
Action Unit DetectionDepression DetectionEthicsFacial Action Unit Detection+3A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks
Over the past decade, Medical Image Segmentation (MIS) using Deep Neural Networks (DNNs) has achieved significant performance improvements and holds great promise for future developments. This paper presents a comprehens…
EthicsExplainable artificial intelligenceExplainable Artificial Intelligence (XAI)Image Segmentation+2Multi Layered Autonomy and AI Ecologies in Robotic Art Installations
Symbiosis of Agents is a large-scale installation by Baoyang Chen (baoyangchen.com) that embeds AI-driven robots in an immersive, mirror-lined arena, probing the tension between machine agency and artistic authorship. Dr…
EthicsHigher-Order Responsibility
In ethics, individual responsibility is often defined through Frankfurt's principle of alternative possibilities. This definition is not adequate in a group decision-making setting because it often results in the lack of…
Decision MakingEthicsHADA: Human-AI Agent Decision Alignment Architecture
We present HADA (Human-AI Agent Decision Alignment), a protocol- and framework agnostic reference architecture that keeps both large language model (LLM) agents and legacy algorithms aligned with organizational targets a…
AI AgentEthicsLarge Language ModelPosition: Olfaction Standardization is Essential for the Advancement of Embodied Artificial Intelligence
Despite extraordinary progress in artificial intelligence (AI), modern systems remain incomplete representations of human cognition. Vision, audition, and language have received disproportionate attention due to well-def…
EthicsNavigatePositionBottom-Up Perspectives on AI Governance: Insights from User Reviews of AI Products
With the growing importance of AI governance, numerous high-level frameworks and principles have been articulated by policymakers, institutions, and expert communities to guide the development and application of AI. Whil…
EthicsResponsible Data Stewardship: Generative AI and the Digital Waste Problem
As generative AI systems become widely adopted, they enable unprecedented creation levels of synthetic data across text, images, audio, and video modalities. While research has addressed the energy consumption of model t…
EthicsTen Principles of AI Agent Economics
The rapid rise of AI-based autonomous agents is transforming human society and economic systems, as these entities increasingly exhibit human-like or superhuman intelligence. From excelling at complex games like Go to ta…
AI AgentEthicsMy Answer Is NOT 'Fair': Mitigating Social Bias in Vision-Language Models via Fair and Biased Residuals
Social bias is a critical issue in large vision-language models (VLMs), where fairness- and ethics-related problems harm certain groups of people in society. It is unknown to what extent VLMs yield social bias in generat…
EthicsFairnessMultiple-choiceWhen Ethics and Payoffs Diverge: LLM Agents in Morally Charged Social Dilemmas
Recent advances in large language models (LLMs) have enabled their use in complex agentic roles, involving decision-making with humans or other agents, making ethical alignment a key AI safety concern. While prior work h…
EthicsNavigateDebate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models
The proliferation of misinformation in digital platforms reveals the limitations of traditional detection methods, which mostly rely on static classification and fail to capture the intricate process of real-world fact-c…
Binary ClassificationEthicsFact CheckingMisinformation