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OpenAlex in the AI ethics record

A source-linked view of 2,399 research records gathered from OpenAlex. This page tracks what entered the ethics.ai source fleet; it is not a complete archive of the publisher and does not imply its endorsement.

Records by publication daylatest 90 days
2026-05-18 2026-08-15
2,399records in archive
15latest 90 days
1,545distinct publication days
9 July 2026latest published record

Most common automatic topics

Healthcare 773
Children & education 357
Environment 225
Regulation 198
Finance, VC & PE 188
Agents & autonomy 174
Jobs & economy 123
Transparency 123
Bias & fairness 112
Privacy 93

Source status and scope

last check: error:HTTP 429. The source is configured on a daily cadence and was last checked 50m ago.

Topic labels are automatic and can be imperfect. Counts measure records captured by ethics.ai, not everything the publisher produced, readership, importance or agreement with a claim.

Latest records from OpenAlex

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OpenAlex

Business Ethics and Ethical Business — open the original publisher

This second edition of Business Ethics and Ethical Business has all the virtues of the first edition as well as additions and revisions throughout, and three new chapters—one on AI and two on environmental ethics and sustainability. It explores the place of business in society, describes ethics in management, recognizes the challenges of environmental preservation, and explores challenges of international business. It introduces the major standards of business ethics and provides tools for ethic

Research Environment
OpenAlex

Can AI help reduce prejudice? Evaluating the effectiveness of AI-powered personalized persuasion on support for transgender rights — open the original publisher

Personalized interpersonal conversations are among the most effective known tools for reducing prejudice, yet they are difficult to scale because they require skilled human facilitators. This study tests whether AI can approximate the effects of these interventions. Using OpenAI's GPT-4o, we developed a messaging-based intervention that engaged US participants in individualized, morally aligned dialogs about transgender rights. In a preregistered experiment, these AI-mediated conversations signi

Research
OpenAlex

Relationships in the age of AI: A review on the opportunities and risks of synthetic relationships to reduce loneliness — open the original publisher

Loneliness is a pressing global health issue, yet traditional interventions often fall short due to scalability limitations and the individualized experiences of loneliness. The rise of generative artificial intelligence (AI) has enabled synthetic relationships (SRs)—ongoing associations with AI companions designed to simulate human-like social bonds. SRs offer, among other aspects, constant availability, adaptability, and emotional responsiveness, which potentially address loneliness. However,

Research Healthcare
OpenAlex

AI safety landscape for large language models: taxonomy, state-of-the-art, and future directions — open the original publisher

AI safety is an emerging field of critical importance for the secure adoption and deployment of AI systems. With the recent advancements in large language models (LLMs), the technological landscape surrounding the design, development, and deployment of AI systems has undergone significant change. The failure of AI systems at one organization, or AI risks undertaken by one organization, can propagate down the AI technology supply chain, affect the entire AI ecosystem, and potentially lead to coll

Research Safety & alignment
OpenAlex

Lehigh University: Comprehensive AI Governance & Activity Inventory — open the original publisher

A 188-page public-source inventory of artificial intelligence governance, teaching, research, and operations at Lehigh University. Evidence snapshot date: June 10, 2026. The document records what the university has said and done publicly about AI as of that date. It is not an audit, maturity assessment, or scorecard. Part I covers ten institutional domains: governance architecture, policy infrastructure, teaching and learning posture, tool ecosystem and procurement, academic integrity, research

Research RegulationTransparency
OpenAlex

Charting cross-cultural AI perception: An exploratory study of expectations, risk–benefit trade-offs, and values in Germany and China — open the original publisher

=.839). Visual cognitive maps illustrate these contrasts, offering new perspectives on how cultural contexts shape AI acceptance. Our findings suggest factors influencing public perception and provide pointers for future research to align AI with societal values and promote equitable and culturally sensitive integration of AI technologies.

Research
OpenAlex

Are We All Musicians Now? Authenticity, Musicianship, and AI Music Generator Suno — open the original publisher

This paper examines the authenticity of music and the musicianship related to Suno, an artificial intelligence (AI) music generator. Suno was introduced in late 2023, and its latest version (v5.5) was released on March 26, 2026. The platform was developed by AI experts and musicians based in Cambridge, MA. Suno does not engage in conventional practices of composing, songwriting, performing, or recording. Instead, it generates music from user prompts via a text/audio/image/video-to-music interfac

Research
OpenAlex

Developing an augmented reality business model for cultural heritage tourism: the case of Geevor Museum — open the original publisher

The use of Augmented Reality (AR) in cultural heritage tourism has gained increased research attention, and studies identify many ways AR adds value to, and enhances the tourist experience. However, contrary to expectations and opportunities presented, AR adoption has been slower than predicted. It could be argued that the tourism sector is losing out of the benefits presented by AR, despite the fact adopting modern technologies is considered essential for tourist organisations to remain competi

Research
OpenAlex

Effective leadership in implementing change in Arab culture: the case of the Abu Dhabi police — open the original publisher

Leadership has a direct influence on actions in the work environment that enable changes. The present study examines the views of employees on effective leadership in implementing change in the context of the Abu Dhabi Police (ADP). Employing a mixed-methods approach comprising the use of survey instruments, interviews and documents, the study identifies strengths and weaknesses in the ADP‘s leadership. Using a random sample of 288 ADP employees, the results of the survey, interviews and documen

Research Environment
OpenAlex

MedHalu: Hallucinations in Responses to Healthcare Queries by Large Language Models — open the original publisher

Large language models (LLMs) are starting to complement traditional information seeking mechanisms such as web search. LLM-powered chatbots like ChatGPT are gaining prominence among the general public. AI chatbots are also increasingly producing content on social media platforms. However, LLMs are also prone to hallucinations, generating plausible yet factually incorrect or fabricated information. This becomes a critical problem when laypeople start seeking information about sensitive issues suc

Research Healthcare
OpenAlex

ChatGPT Is Not a Pocket Calculator – Problems of AI-Chatbots for Teaching Geography — open the original publisher

The recent success of large language models and AI chatbots such as ChatGPT in various knowledge domains has a severe impact on teaching and learning Geography. The underlying revolution is often compared to the introduction of pocket calculators, suggesting analogous adaptations that prioritize higher-level skills over other learning content. The success of such a strategy therefore rests on the assumption that lower-level learning goals are substitutable by AI, and assessments can be refocused

Research
OpenAlex

What is ethical: AIHED driving humans or Human-Driven AIHED? A conceptual framework enabling the ‘ethos’ of AI-driven higher education — open the original publisher

Artificial Intelligence (AI) is transforming higher education (HE) through personalised learning, predictive analytics, and intelligent automation. However, concerns over algorithmic bias, privacy, and inequity necessitate governance models that prioritise Human Intelligence (HI). This study introduces the Human-Driven AI in Higher Education (HD-AIHED) framework, which embeds stakeholder-driven HI, particularly in decision-making and feedback across all five AI lifecycle phases: adoption (multi-

Research Bias & fairnessRegulation
OpenAlex

Polyendocrine metabolic ovarian syndrome, the new name for polycystic ovary syndrome: a multistep global consensus process — open the original publisher

Polyendocrine metabolic ovarian syndrome (PMOS), previously named polycystic ovary syndrome (PCOS), affects one in eight women. However, the term PCOS is inaccurate, implying pathological ovarian cysts, obscuring diverse endocrine and metabolic features, and contributing to delayed diagnosis, fragmented care, and stigma, while curtailing research and policy framing. Building on an international mandate for change, we outline an unprecedented, rigorous, multistep global consensus process for the

Research RegulationHealthcare
OpenAlex

Generative AI in Academic Writing: A Comparison of DeepSeek, Qwen, ChatGPT, Gemini, Llama, Mistral, and Gemma — open the original publisher

DeepSeek v3, developed in China, was released in December 2024, followed by Alibaba’s Qwen 2.5 Max in January 2025 and Qwen3 235B in April 2025. These free and open-source models offer significant potential for academic writing and content creation. This study evaluates their academic writing performance by comparing them with ChatGPT, Gemini, Llama, Mistral, and Gemma. There is a critical gap in the literature concerning how extensively these tools can be utilized and their potential to generat

Research
OpenAlex

Training language models to be warm can reduce accuracy and increase sycophancy — open the original publisher

. Here we show how this can create a significant trade-off: optimizing language models for warmth can undermine their performance, especially when users express vulnerability. We conducted controlled experiments on five different language models, training them to produce warmer responses, then evaluating them on consequential tasks. Warm models showed substantially higher error rates (+10 to +30 percentage points) than their original counterparts, promoting conspiracy theories, providing inaccur

Research
OpenAlex

Verdi in Victorian London — open the original publisher

<p>Now a byword for beauty, Verdi's operas were far from universally acclaimed when they reached London in the second half of the nineteenth century. Why did some critics react so harshly? Who were they and what biases and prejudices animated them? When did their antagonistic attitude change? And why did opera managers continue to produce Verdi's operas, in spite of their alleged worthlessness?</p><p>Massimo Zicari's Verdi in Victorian London reconstructs the reception of Verdi

Research

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