---
title: Papers Index
type: moc
tags: [moc, papers]
---

# Papers Index

## March 27, 2025

- [[Clinical trial of an LLM-based conversational AI psychotherapy]]

## Juli 24, 2024

- [[Less knowledge, more trust- Exploring potentially uncritical attitudes towards AI in higher education]]

## April 30

- [[Improving human-AI partnerships in child welfare- Understanding worker practices, challenges, and desires for algorithmic decision support]]

## 2025

- [[A framework for the learning and teaching of Critical AI Literacy skills (Version 0.1)]]
- [[A reparative turn in AI]]
- [[A reparative turn in AI]]
- [[AI Countergovernance- Lessons Learned from Canada and Paris]]
- [[AI FORA – Artificial Intelligence for Assessment- Fairness bei der Verteilung öffentlicher sozialer Leistungen]]
- [[AI algorithm transparency, pipelines for trust not prisms- mitigating general negative attitudes and enhancing trust toward AI]]
- [[AI literacy and competency- definitions, frameworks, development and future research directions]]
- [[AI literacy in teacher education- Empowering educators through critical co-discovery]]
- [[Akzeptanz von KI und organisationale Rahmenbedingungen in der Sozialen Arbeit – Eine empirische Untersuchung aus der Perspektive von Berufseinsteiger-innen]]
- [[Algorithmic Governance- Gender Bias in AI-Generated Policymaking-]]
- [[Algorithmic-Assisted Decision-Making Tools in Child Welfare Practice- A Systematic Review]]
- [[Algorithms, artificial intelligence and discrimination]]
- [[Algorithms, artificial intelligence and discrimination]]
- [[Artificial Intelligence (AI) Literacy for Social Work- Implications for Core Competencies]]
- [[Artificial Intelligence (AI) literacy – an argument for AI literacy in education]]
- [[Artificial Intelligence in Social Sciences and Social Work- Bridging Technology and Humanity to Revolutionize Research, Policy, and Human Services]]
- [[Bias in decision-making for AI's ethical dilemmas- A comparative study of ChatGPT and Claude]]
- [[Bias, accuracy, and trust- Gender-diverse perspectives on large language models]]
- [[Clinical Social Workers’ Perceptions of Large Language Models in Practice- Resistance to Automation and Prospects for Integration]]
- [[DR.GAP- Mitigating bias in large language models using gender-aware prompting with demonstration and reasoning]]
- [[DR.GAP- Mitigating bias in large language models using gender-aware prompting with demonstration and reasoning]]
- [[Datafied ageing futures- Regimes of anticipation and participatory futuring]]
- [[Digitale Werkzeuge und Machtasymmetrien-]]
- [[Explicitly unbiased large language models still form biased associations]]
- [[Fairness Beyond the Algorithmic Frame- Actionable Recommendations for an Intersectional Approach]]
- [[Female perspectives on algorithmic bias- Implications for AI researchers and practitioners]]
- [[Fragile Foundations- Hidden Risks of Generative AI]]
- [[Gender Bias in Artificial Intelligence- Empowering Women Through Digital Literacy]]
- [[Gender in a stereo-(gender)typical EU AI law- A feminist reading of the AI Act]]
- [[Generative AI & social work practice guidance]]
- [[Governance of generative AI- A comprehensive framework for navigating challenges and opportunities]]
- [[Governing discriminatory content in conversational AI- A cross-system, cross-lingual, and cross-topic audit]]
- [[Guardrails, not guidance- Understanding responses to LGBTQ+ language in large language models]]
- [[How large language models judge cooperation]]
- [[How to Create Inclusive AI Images- A Guide to Bias-Free Prompting]]
- [[Indecision on the use of artificial intelligence in healthcare- A qualitative study of patient perspectives on trust, responsibility and self-determination using AI-CDSS]]
- [[Intersectional analysis of visual generative AI- The case of Stable Diffusion]]
- [[Intersectional analysis of visual generative AI- The case of Stable Diffusion]]
- [[Investigating AI systems- examining data and algorithmic bias through hermeneutic reverse engineering]]
- [[KI-basiertes Assistenzsystem im Kinderschutzverfahren]]
- [[Künstliche Intelligenz in der Sozialen Arbeit- Grundlagen für Theorie und Praxis]]
- [[LIBRA- Measuring bias of large language model from a local context]]
- [[LIBRA- Measuring bias of large language model from a local context]]
- [[Measuring and identifying factors of individuals' trust in large language models]]
- [[Measuring gender and racial biases in large language models- Intersectional evidence from automated resume evaluation]]
- [[Mitigating trust-induced inappropriate reliance on AI assistance]]
- [[Model explanations for gender and ethnicity bias mitigation in AI-generated narratives]]
- [[More or less wrong- A benchmark for directional bias in LLM comparative reasoning]]
- [[Multilingual Prompting for Improving LLM Generation Diversity]]
- [[Prejudiced interactions with large language models (LLMs) reduce trustworthiness and behavioral intentions among members of stigmatized groups]]
- [[Prompt Engineering Techniques for Mitigating Cultural Bias Against Arabs and Muslims in Large Language Models- A Systematic Review]]
- [[Prompt Engineering Techniques for Mitigating Cultural Bias Against Arabs and Muslims in Large Language Models- A Systematic Review]]
- [[Prompten nach Plan- Das PCRR-Framework als pädagogisches Werkzeug für den Einsatz von Künstlicher Intelligenz]]
- [[Prompten nach Plan- Das PCRR-Framework als pädagogisches Werkzeug für den Einsatz von Künstlicher Intelligenz]]
- [[ReflectAI- Design and evaluation of an AI coach to support public servants' self-reflection]]
- [[Reflexive prompt engineering- A framework for responsible prompt engineering and AI interaction design]]
- [[Responsible prompting recommendation- Fostering responsible AI practices in prompting-time]]
- [[Self-debiasing large language models- Zero-shot recognition and reduction of stereotypes]]
- [[Social work and artificial intelligence- Collaboration and challenges]]
- [[Social work in the age of artificial intelligence- A rights-based framework for evidence-based practice through social psychology, group dynamics, and institutional analysis]]
- [[The EU artificial intelligence act through a gender lens]]
- [[The EU artificial intelligence act through a gender lens]]
- [[The cultural stereotype and cultural bias of ChatGPT]]
- [[The influence of mental state attributions on trust in large language models]]
- [[Thinking like a scientist- Can interactive simulations foster critical AI literacy-]]
- [[Towards responsible AI for education- Hybrid human-AI to confront the Elephant in the room]]
- [[Trust in artificial intelligence–based clinical decision support systems among health care workers- Systematic review]]
- [[Unequal voices- How LLMs construct constrained queer narratives]]
- [[Voll (dia)logisch- Ein Werkstattbericht über den Einsatz von generativer KI in der Hochschulbildung für Soziale Arbeit – Curriculare Überlegungen und veränderte Akteurskonstellationen]]
- [[What is Feminist AI-]]
- [[What is Feminist AI-]]
- [[What large language models know and what people think they know]]
- [[What’s in a name- Auditing large language models for race and gender bias]]

## 2024

- [[-It happened to be the perfect thing-- Experiences of generative AI chatbots for mental health]]
- [[A formal account of AI trustworthiness- Connecting intrinsic and perceived trustworthiness in an operational schematization]]
- [[A sociolinguistic approach to stereotype assessment in large language models]]
- [[A survey on fairness in large language models]]
- [[A systematic review of sophisticated predictive and prescriptive analytics in child welfare- Accuracy, equity, and bias]]
- [[A systematic review of sophisticated predictive and prescriptive analytics in child welfare- Accuracy, equity, and bias]]
- [[AI & Intersectionality- A Toolkit For Fairness & Inclusion]]
- [[AI Gender Bias, Disparities, and Fairness- Does Training Data Matter-]]
- [[AI competency framework for students]]
- [[AI for decision support- What are possible futures, social impacts, regulatory options, ethical conundrums and agency constellations-]]
- [[AI for impact- The PRISM framework for responsible AI in social innovation]]
- [[Algorithmic Governance and the International Politics of Big Tech]]
- [[Algorithmic discrimination- examining its types and regulatory measures with emphasis on US legal practices]]
- [[Artificial Intelligence Competence Needs for Youth Workers]]
- [[Artificial Intelligence and Intersectionality]]
- [[Artificial Intelligence and Intersectionality]]
- [[Artificial intelligence in social work- An EPIC model for practice]]
- [[Artificial intelligence in social work- An EPIC model for practice]]
- [[Artificial intelligence in social work- An EPIC model for practice]]
- [[Assessing trustworthy AI- Technical and legal perspectives of fairness in AI]]
- [[Automated government benefits and welfare surveillance]]
- [[Avoiding catastrophe through intersectionality in global AI governance]]
- [[Avoiding catastrophe through intersectionality in global AI governance]]
- [[Beyond transparency and explainability- On the need for adequate and contextualized user guidelines for LLM use]]
- [[Beyond transparency and explainability- On the need for adequate and contextualized user guidelines for LLM use]]
- [[Bias and fairness in large language models- A survey]]
- [[Bildungsteilhabe - Flucht - Digitalisierung- Eine multilokale Ethnografie im (digitalen) Alltag junger Geflüchteter]]
- [[CAIL – Critical AI Literacy- Kritische Technikkompetenz für konstruktiven Umgang mit KI-basierter Technologie in Betrieben]]
- [[Can LLMs reason about trust- A pilot study]]
- [[Can prompt modifiers control bias- A comparative analysis of text-to-image generative models]]
- [[Challenging systematic prejudices- an Investigation into Gender Bias in Large Language Models]]
- [[Coded injustice- Surveillance and discrimination in Denmark's automated welfare state]]
- [[Considering a unified model of artificial intelligence enhanced social work- A systematic review]]
- [[Data feminism for AI]]
- [[Data feminism for AI]]
- [[Debiasing prompts for gender bias in large language models]]
- [[Decision support and algorithmic support- The construction of algorithms and professional discretion in social work]]
- [[Digitalität und Digitalisierung als Gegenstand der Sozialen Arbeit]]
- [[Diskriminierung durch Algorithmen – Überlegungen zur Stärkung KI-bezogener Kompetenzen]]
- [[Engineers on responsibility- feminist approaches to who's responsible for ethical AI]]
- [[Ethical issues related to the use of technology in social work practice- A systematic review]]
- [[Evaluating gender bias in large language models via chain-of-thought prompting]]
- [[Evaluating gender bias in large language models via chain-of-thought prompting]]
- [[Explainability through systematicity- The hard systematicity challenge]]
- [[Exploring complex mental health symptoms via classifying social media data with explainable LLMs]]
- [[Exploring machine learning to support decision-making for placement stabilization and preservation in child welfare]]
- [[Failing our youngest- On the biases, pitfalls, and risks in a decision support algorithm used for child protection]]
- [[Faires KI-Prompting – Ein Leitfaden für Unternehmen]]
- [[Feminist Perspectives on AI- Ethical Considerations in Algorithmic Decision-Making]]
- [[Feministische KI – Künstliche Intelligenz für alle- [Feminist AI – Artificial intelligence for everyone-]]]
- [[Flexible intersectional stereotype extraction (FISE)- Analyzing intersectional biases in large language models]]
- [[Gender, race, and intersectional bias in AI resume screening via language model retrieval]]
- [[Gender, race, and intersectional bias in AI resume screening via language model retrieval]]
- [[How AI hype impacts the LGBTQ+ community]]
- [[How Far Can We Extract Diverse Perspectives from Large Language Models-]]
- [[How can feminism inform AI governance in practice-]]
- [[Inclusive prompt engineering- A methodology for hacking biased AI image generation]]
- [[Incubating Feminist AI- Executive Summary 2021-2024]]
- [[Incubating Feminist AI- Executive Summary 2021-2024]]
- [[Intersectional Artificial Intelligence Is Essential- Polyvocal, Multimodal, Experimental Methods to Save AI]]
- [[Intersectional analysis of visual generative AI- the case of stable diffusion]]
- [[Introducing Generative Artificial Intelligence into the MSW Curriculum- A Proposal for the 2029 Educational Policy and Accreditation Standards]]
- [[Introduction to the digital welfare state- Contestations, considerations and entanglements]]
- [[Large Language Models and User Trust- Consequence of Self-Referential Learning Loop and the Deskilling of Health Care Professionals]]
- [[MirrorStories- Reflecting Diversity through Personalized Narrative Generation with Large Language Models]]
- [[MirrorStories- Reflecting Diversity through Personalized Narrative Generation with Large Language Models]]
- [[On the steerability of large language models]]
- [[On the steerability of large language models]]
- [[Operationalizing positive-constructive pedagogy to artificial intelligence- the 3E model for scaffolding AI technology adoption]]
- [[Policy advice and best practices on bias and fairness in AI]]
- [[Policy advice and best practices on bias and fairness in AI]]
- [[PreciseDebias- An automatic prompt engineering approach for generative AI to mitigate image demographic biases]]
- [[Promises and challenges of generative artificial intelligence for human learning]]
- [[Prompting fairness- Learning prompts for debiasing large language models]]
- [[Prompting techniques for reducing social bias in LLMs through System 1 and System 2 cognitive processes]]
- [[Prompting techniques for reducing social bias in LLMs through System 1 and System 2 cognitive processes]]
- [[Prompting techniques for reducing social bias in LLMs through System 1 and System 2 cognitive processes]]
- [[RETHINKING SOCIAL SERVICES WITH ARTIFICIAL INTELLIGENCE- OPPORTUNITIES, RISKS, AND FUTURE PERSPECTIVES]]
- [[Research on the application risks and countermeasures of ChatGPT generative artificial intelligence in social work]]
- [[Revisiting Technical Bias Mitigation Strategies]]
- [[Scaling implicit bias analysis across transformer-based language models through embedding association test and prompt engineering]]
- [[Shaping feminist artificial intelligence]]
- [[Tech workers' perspectives on ethical issues in AI development- Foregrounding feminist approaches]]
- [[Tensions in digital welfare states- Three perspectives on care and control]]
- [[The AI Act, gender equality and non-discrimination- what role for the AI Office-]]
- [[The power of prompts- Evaluating and mitigating gender bias in MT with LLMs]]
- [[The role of artificial intelligence (AI) and machine learning in social work practice]]
- [[Towards substantive equality in artificial intelligence- Transformative AI policy for gender equality and diversity]]
- [[Training in Co-Creation as a Methodological Approach to Improve AI Fairness]]
- [[Who cares about data- Data care arrangements in everyday organisational practice]]
- [[Women4Ethical AI- Global cooperation for gender-inclusive AI]]

## 2023

- [[A Survey on Intersectional Fairness in Machine Learning- Notions, Mitigation, and Challenges]]
- [[A Survey on Intersectional Fairness in Machine Learning- Notions, Mitigation, and Challenges]]
- [[AI Creates the Message- Integrating AI Language Learning Models into Social Work Education and Practice]]
- [[AI Literacy - Towards Measuring Human Competency in Artificial Intelligence]]
- [[AI literacy in K-12- a systematic literature review]]
- [[Advancing Accountability in AI]]
- [[Algorithmic decision-making in social work practice and pedagogy- confronting the competency-critique dilemma]]
- [[Artificial intelligence in social work- Emerging ethical issues]]
- [[Bedeutung von Künstlicher Intelligenz in der Sozialen Arbeit- Eine exemplarische arbeitsfeldübergreifende Betrachtung des Natural Language Processing (NLP)]]
- [[Biases in large language models- Origins, inventory and discussion]]
- [[ChatGPT for Social Work Science- Ethical Challenges and Opportunities]]
- [[Digital literacy as a new determinant of health- A scoping review]]
- [[Dipper- Diversity in Prompts for Producing Large Language Model Outputs]]
- [[Discriminating Systems- Gender, Race, and Power in AI]]
- [[Explainable Artificial Intelligence]]
- [[Factoring the matrix of domination- A critical review and reimagination of intersectionality in AI fairness]]
- [[Factoring the matrix of domination- A critical review and reimagination of intersectionality in AI fairness]]
- [[Feminism Confronts AI- The Gender Relations of Digitalisation]]
- [[Feminist reflections for the development of Artificial Intelligence]]
- [[Feministische Netzpolitik und Künstliche Intelligenz in der politischen Bildung [Feminist network politics and artificial intelligence in political education]]]
- [[Feministische Netzpolitik und Künstliche Intelligenz in der politischen Bildung [Feminist network politics and artificial intelligence in political education]]]
- [[Generative AI and opportunities for feminist classroom assignments]]
- [[Improving diversity of demographic representation in people entities in Large Language Models]]
- [[Intersectional Fairness- A Fractal Approach]]
- [[Intersectional Stereotypes in Large Language Models- Dataset and Analysis]]
- [[Leitfaden Digitale Verwaltung und Ethik- Praxisleitfaden für KI in der Verwaltung, Version 1.0]]
- [[Measuring user competence in using artificial intelligence- validity and reliability of artificial intelligence literacy scale]]
- [[Messung von AI Literacy – Empirische Evidenz und Implikationen]]
- [[Occupational employment statistics]]
- [[Rationalisierung durch Digitalisierung-]]
- [[Recommendations for social work researchers and journal editors on the use of generative AI and large language models]]
- [[The End of the World as We Know It- ChatGPT and Social Work]]
- [[The End of the World as We Know It- ChatGPT and Social Work]]
- [[Towards a Feminist Metaethics of AI]]
- [[Transparency enhances positive perceptions of social artificial intelligence]]
- [[Trustworthy AI and the Logics of Intersectional Resistance]]

## 2022

- [[A Literature Review of Digital Literacy over Two Decades]]
- [[AI implementation science for social issues- Pitfalls and tips]]
- [[Are -Intersectionally Fair- AI Algorithms Really Fair to Women of Color- A Philosophical Analysis]]
- [[Artificial Intelligence and Structural Injustice- Foundations for Equity, Values, and Responsibility]]
- [[Artificial Intelligence in a Structurally Unjust Society]]
- [[Assessing GPT's bias towards stigmatized social groups- An intersectional case study on nationality prejudice and psychophobia]]
- [[BBQ- A hand-built bias benchmark for question answering]]
- [[Exploring opportunities and risks in decision support technologies for social workers- An empirical study in the field of disabled people's services]]
- [[Imagination, Algorithms and News- Developing AI Literacy for Journalism]]
- [[Künstliche Intelligenz in der Sozialen Arbeit- Grundlagen, Entwicklungen, Herausforderungen]]
- [[Large language models are zero-shot reasoners]]

## 2021

- [[Conceptualizing AI literacy- An exploratory review]]
- [[Evaluation of an artificial intelligence literacy course for university students with diverse study backgrounds]]
- [[Recommendation on the Ethics of Artificial Intelligence]]

## 2020

- [[ARTIFICIAL INTELLIGENCE and GENDER EQUALITY]]
- [[Handbuch Soziale Arbeit und Digitalisierung]]
- [[Handbuch Soziale Arbeit und Digitalisierung]]
- [[What is AI Literacy- Competencies and Design Considerations]]

## 2019

- [[Counterfactual fairness in text classification through robustness]]

## 2018

- [[Der Einfluss der Algorithmen- Neue Qualitäten durch Big Data Analytics und Künstliche Intelligenz]]
- [[Measuring and mitigating unintended bias in text data]]

## 2017

- [[DigComp 2.1- the digital competence framework for citizens with eight proficiency levels and examples of use]]
- [[Feminist Data Set]]

## 12/2025

- [[GLAT- The generative AI literacy assessment test]]

## 12/2023

- [[Development of the “Scale for the assessment of non-experts’ AI literacy” – An exploratory factor analysis]]

## 12/2022

- [[A systematic review on digital literacy]]

## 10/2025

- [[The AI literacy development canvas- Assessing and building AI literacy in organizations]]

## 09/2025

- [[A Competency Framework for AI Literacy- Variations by Different Learner Groups and an Implied Learning Pathway]]
- [[Learning About AI- A Systematic Review of Reviews on AI Literacy]]

## 06/2024

- [[AI Literacy- A Framework to Understand, Evaluate, and Use Emerging Technology]]
- [[Developing an artificial intelligence literacy framework- Evaluation of a literacy course for senior secondary students using a project-based learning approach]]
- [[In search of artificial intelligence (AI) literacy in teacher education- A scoping review]]
- [[What are artificial intelligence literacy and competency- A comprehensive framework to support them]]

## 01/2024

- [[AI literacy for users – A comprehensive review and future research directions of learning methods, components, and effects]]

