AI and ethics最新文献_第2页

A new epoch of face analytics: technological evolution through ethical and legal challenges 面部分析的新时代：通过道德和法律挑战的技术进化

AI and ethics Pub Date : 2025-06-17 DOI: 10.1007/s43681-025-00678-9

Jorge Conde, Craig Speelman, Mike Johnstone

{"title":"A new epoch of face analytics: technological evolution through ethical and legal challenges","authors":"Jorge Conde, Craig Speelman, Mike Johnstone","doi":"10.1007/s43681-025-00678-9","DOIUrl":"10.1007/s43681-025-00678-9","url":null,"abstract":"<div><p>Social media users upload millions of photographs every day increasing the availability of facial images. Data lakes, artificial intelligence (AI), and increasing computational power facilitate the extraction of personal features from a photograph of a face. Our study found that large amounts of facial biometric data are harvested. This development is an unprecedented challenge to privacy. To understand the state of the technology and its impact on ethics and personal data privacy, we reviewed the last three decades of research in terms of advances in enabling technologies, social media, facial recognition, awareness or privacy, and legislation. We identified four epochs based on the significant advances and changes in how we share data, perceive privacy, and try to limit potential damage caused by these new technologies through regulation, laws, and social norms. We posit that we are reaching another epoch—one in which AI is aiming to predict biological, genetic, and neuropsychological features from pictures. We conclude that we are at a new AI frontier for which there is an urgent need to understand and mitigate the threats to privacy posed by advances in data mining of face biometrics for human profile prediction as they relate to ethics, society, and regulatory framework.</p></div>","PeriodicalId":72137,"journal":{"name":"AI and ethics","volume":"5 5","pages":"5213 - 5237"},"PeriodicalIF":0.0,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43681-025-00678-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145122103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A default framework for fundamental rights impact assessment 基本权利影响评估的默认框架

AI and ethics Pub Date : 2025-06-16 DOI: 10.1007/s43681-025-00761-1

Miguel Garcia-Godinez

引用次数: 0

Harmonizing creativity and ethics in AI systems 协调人工智能系统中的创造力和伦理

AI and ethics Pub Date : 2025-06-16 DOI: 10.1007/s43681-025-00766-w

Joffrey Baeyaert

{"title":"Harmonizing creativity and ethics in AI systems","authors":"Joffrey Baeyaert","doi":"10.1007/s43681-025-00766-w","DOIUrl":"10.1007/s43681-025-00766-w","url":null,"abstract":"<div><p>Artificial intelligence is increasingly embedded in the creative industries—not only augmenting but originating cultural artefacts. Yet while generative systems expand access and productivity, they also raise complex ethical challenges around authorship, representation, transparency, and environmental cost. Generic AI-ethics frameworks built on fairness, accountability, transparency, and privacy remain too abstract to address the sector-specific tensions of AI-mediated creativity. This paper proposes the multi-dimensional ethics framework (MDEF), a normative and operational architecture that integrates five ethical dimensions—originality, cultural sensitivity, bias, transparency, and sustainability—across the creative pipeline. Drawing on interdisciplinary research, regulatory gaps, and real-world platform case studies, the MDEF embeds concrete instruments such as provenance pipelines, entropy-based bias audits, co-creation logs, carbon dashboards, and cultural veto protocols. It further introduces six quantitative metrics, including the cultural coverage index, transparency compliance index, and energy intensity score, each with calibrated governance thresholds for automated or human-in-the-loop intervention. The framework is designed for modular deployment, participatory oversight, and iterative refinement, ensuring adaptability across regulatory contexts and creative subfields. Pilots and prototypes already demonstrate feasibility, including increased trust through authenticity badging and reduced representational harm via participatory audits. In contrast to static principle-based codes, the MDEF offers a living, verifiable approach to aligning AI-driven creativity with moral rights, epistemic accountability, and cultural plurality.</p></div>","PeriodicalId":72137,"journal":{"name":"AI and ethics","volume":"5 5","pages":"5191 - 5211"},"PeriodicalIF":0.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145122000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Towards ethical evolution: responsible autonomy of artificial intelligence across generations 走向伦理进化：人工智能的代际负责任自治

AI and ethics Pub Date : 2025-06-16 DOI: 10.1007/s43681-025-00759-9

Vagan Terziyan, Timo Tiihonen, Amit K. Shukla, Svitlana Gryshko, Mariia Golovianko, Oleksandr Terziyan, Oleksandra Vitko

{"title":"Towards ethical evolution: responsible autonomy of artificial intelligence across generations","authors":"Vagan Terziyan, Timo Tiihonen, Amit K. Shukla, Svitlana Gryshko, Mariia Golovianko, Oleksandr Terziyan, Oleksandra Vitko","doi":"10.1007/s43681-025-00759-9","DOIUrl":"10.1007/s43681-025-00759-9","url":null,"abstract":"<div><p>The emergence of autonomous systems capable of designing subsequent generations of Artificial Intelligence (AI) introduces profound challenges in ensuring ethical integrity and accountability. This article presents a novel framework combining meta-responsibility, genetic algorithms, and time-travel-inspired abstractions to address these challenges. Central to this study is an immutable ethical principle: AI must not harm humanity or violate fundamental values, must monitor and mitigate misuse of its outcomes, and must ensure all derivative AI products inherit this principle as an immutable safeguard. The framework ensures that AI systems, acting as designers of subsequent AI generations, propagate these ethical principles reliably across generations, enabling ethical inheritance in AI-as-a-designer-of-AI scenarios. The meta-responsibility framework addresses the critical question of maintaining responsibility and ethical principles not only for AI systems designed by humans but also for those designed by other AI systems. At its core, the genetic responsibility model balances immutable and mutable principles, ensuring adaptability while preserving ethical standards during self-cloning, contextual adaptation, and intergenerational design. Tailored for wide range of potential applications of autonomous systems, this framework offers a scalable foundation for trustworthy AI design, ensuring consistent ethical behavior and reliable responsibility propagation across generations of autonomous agents.</p></div>","PeriodicalId":72137,"journal":{"name":"AI and ethics","volume":"5 5","pages":"5165 - 5190"},"PeriodicalIF":0.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43681-025-00759-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145122003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AI, healthcare ethics, and disability: a debate 人工智能、医疗伦理和残疾：一场辩论

AI and ethics Pub Date : 2025-06-13 DOI: 10.1007/s43681-025-00732-6

Peter Smith, Roy Rada

引用次数: 0

How corporate boards can adapt corporate ethics to rapidly changing AI 企业董事会如何使企业道德适应快速变化的人工智能

AI and ethics Pub Date : 2025-06-12 DOI: 10.1007/s43681-025-00752-2

Kevin LaGrandeur, Stephen G Payne

引用次数: 0

Integrating ESG and AI: a comprehensive responsible AI assessment framework 整合ESG和AI：一个全面负责任的AI评估框架

AI and ethics Pub Date : 2025-06-10 DOI: 10.1007/s43681-025-00741-5

Sung Une Lee, Harsha Perera, Yue Liu, Boming Xia, Qinghua Lu, Liming Zhu, Jessica Cairns, Moana Nottage

{"title":"Integrating ESG and AI: a comprehensive responsible AI assessment framework","authors":"Sung Une Lee, Harsha Perera, Yue Liu, Boming Xia, Qinghua Lu, Liming Zhu, Jessica Cairns, Moana Nottage","doi":"10.1007/s43681-025-00741-5","DOIUrl":"10.1007/s43681-025-00741-5","url":null,"abstract":"<div><p>Environmental, Social, and Governance (ESG) principles are critical for addressing global challenges and fostering sustainable practices. As Artificial Intelligence (AI) is a widely developed and adopted technology across entire industry sectors, integrating ESG into AI is essential to mitigate risks, align AI with societal goals, and support responsible investments. More specifically, viewing AI through an ESG lens empowers investors and organizations to manage impacts and guide sustainable AI development. Despite its significance, this area remains underexplored. To address this gap, we introduce the ESG-AI framework for investors, developed from insights with 28 companies. This framework offers a structured approach to assess AI’s material impacts, evaluate corporate commitments to responsible AI, and manage AI-related risks. By detailing its development and components, we demonstrate its applicability in advancing digital sustainability, guiding ethical AI investments, and supporting informed decision-making. This study highlights the framework’s value in aligning AI innovation with ESG principles for long-term societal and business benefits.</p></div>","PeriodicalId":72137,"journal":{"name":"AI and ethics","volume":"5 5","pages":"5121 - 5148"},"PeriodicalIF":0.0,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43681-025-00741-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145121710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AI and the future of creative development: redefining digital media production 人工智能与创意发展的未来：重新定义数字媒体制作

AI and ethics Pub Date : 2025-06-07 DOI: 10.1007/s43681-025-00765-x

Shaif Hemraj

引用次数: 0

An open knowledge graph-based approach for mapping concepts and requirements between the EU AI act and international standards 基于开放知识图的方法，用于在欧盟人工智能法案和国际标准之间映射概念和需求

AI and ethics Pub Date : 2025-06-04 DOI: 10.1007/s43681-025-00708-6

Julio Hernandez, Delaram Golpayegani, Dave Lewis

{"title":"An open knowledge graph-based approach for mapping concepts and requirements between the EU AI act and international standards","authors":"Julio Hernandez, Delaram Golpayegani, Dave Lewis","doi":"10.1007/s43681-025-00708-6","DOIUrl":"10.1007/s43681-025-00708-6","url":null,"abstract":"<div><p>The many initiatives on trustworthy AI result in a confusing and multipolar landscape that organizations operating within the fluid and complex international value chains must navigate in pursuing trustworthy AI. The EU’s AI Act will now shift the focus of such organizations toward conformance with the technical requirements for regulatory compliance, for which the Act relies on <i>Harmonized Standards</i>. Though a high-level mapping to the Act’s requirements will be part of such harmonization, determining the degree to which standards conformity delivers regulatory compliance with the AI Act remains a complex challenge. Variance and gaps in the definitions of concepts and how they are used in requirements between the Act and harmonized standards may impact the consistency of compliance claims across organizations, sectors, and applications. This may present regulatory uncertainty, especially for SMEs and public sector bodies relying on standards conformance rather than proprietary equivalents for developing and deploying compliant high-risk AI systems. To address this challenge, this paper offers a simple and repeatable mechanism for mapping the terms and requirements relevant to normative statements in regulations and standards, e.g., AI Act and ISO management system standards, texts into open knowledge graphs. This representation is used to assess the adequacy of standards conformance to regulatory compliance and thereby provide a basis for identifying areas where further technical consensus development in trustworthy AI value chains is required to achieve regulatory compliance.</p></div>","PeriodicalId":72137,"journal":{"name":"AI and ethics","volume":"5 5","pages":"4463 - 4474"},"PeriodicalIF":0.0,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43681-025-00708-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145121567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AIgemony: power dynamics, dominant narratives, and colonisation igemony：权力动力学，主导叙事和殖民化

AI and ethics Pub Date : 2025-06-04 DOI: 10.1007/s43681-025-00734-4

Nasser Bahrami

{"title":"AIgemony: power dynamics, dominant narratives, and colonisation","authors":"Nasser Bahrami","doi":"10.1007/s43681-025-00734-4","DOIUrl":"10.1007/s43681-025-00734-4","url":null,"abstract":"<div><p>This paper aims to highlight the potential challenges posed by the unmeasured applications of AI, particularly in fostering less-recognised forms of ‘hegemony’—understood as facilitated by AI’s development, rather than caused by it. Skyrocketing advancements demand appropriate preparedness to handle the consequences of significant transformations. Nevertheless, inadequate public awareness, combined with regulatory and legal framework lags, and the exploitation of such vulnerability by influential actors, could intensify inequalities to unprecedented levels. Founded on design and broader social science approaches, this research introduces the concept of <i>AI</i>gemony. It elucidates how specific circumstances may equip certain individuals with persuasion catalysts in the form of ‘dominant narratives’. Notably, as a broader foundation, this form of hegemony could reshape or even transcend traditional systems of power relations such as colonialism, class relations, racism, and sexism. Yet, <i>AI</i>gemony differs from traditional hegemony in crucial respects, specifically in that it is internally unstable, and does not automatically function to the benefit of the ruling elite. A collaborative method is outlined for systematically evaluating these emergent imbalances and positively reconstructing power dynamics.</p></div>","PeriodicalId":72137,"journal":{"name":"AI and ethics","volume":"5 5","pages":"5081 - 5103"},"PeriodicalIF":0.0,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43681-025-00734-4.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145121566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0