Safety Research papers

Pofolia’s corpus holds 85 papers from Safety Research (2011–2026), each with a short summary. Below, the 20 most-cited, then the most recently added.

At a glance

• Most cited: Incorporating Fairness into Game Theory and Economics (2011, 4,421 citations).
• The 20 papers listed have 52,984 citations between them.
• 10 of the 11 with a known journal quartile appeared in a Q1 journal.
• 6 have a free full text (open access).
• Most frequent journals: Big Data & Society, Academy of Management Annals, AI Magazine.
• Published between 2011 and 2020.

Most cited

Ranked by citation count. Because citations accumulate over time, this list naturally leans towards work published a few years ago; for where the field is now, see “recently added”. How to read the signals

• Incorporating Fairness into Game Theory and Economics

  Princeton University Press eBooks · 2011 · FWCI 608.02 · 4,421 citations

  Fairness equilibria, which incorporate preferences for helping/hurting others based on their actions, encompass all mutual-max (helping) and mutual-min (hurting) Nash equilibria.

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• Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk

  Political Analysis · 2012 · Q1 · SJR 4.00 · FWCI 298.95 · 4,087 citations · Open access

  Amazon's Mechanical Turk (MTurk) offers a low-cost method for recruiting participants for political science experiments, yielding samples more representative of the U.S. population than typical in-person convenience samples.

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• AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations

  Minds and Machines · 2018 · Q1 · SJR 1.00 · FWCI 168.15 · 3,679 citations · Open access

  The AI4People initiative proposes a framework for a 'Good AI Society' by outlining key opportunities and risks, synthesizing five core ethical principles, and offering 20 concrete recommendations for AI development and adoption.

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• Post-Capitalist Society

  2012 · FWCI 166.81 · 3,592 citations

  Peter Drucker argues that in post-capitalist society, the primary economic resource shifts from capital, natural resources, or labor to knowledge.

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• The ethics of algorithms: Mapping the debate

  Big Data & Society · 2016 · Q1 · SJR 2.00 · FWCI 161.09 · 3,004 citations · Open access

  This paper maps the ethical debate surrounding algorithms, which increasingly mediate human decisions and social processes.

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• Women Empowerment and Economic Development

  Journal of Economic Literature · 2012 · Q1 · SJR 16.00 · FWCI 135.84 · 2,850 citations

  Economic development alone may not be enough to drive down gender inequality, and empowering women might not automatically benefit development; their interrelationships may be too weak to be self-sustaining.

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• Career Development and Counseling: Putting Theory and Research to Work

  2020 · FWCI 202.26 · 2,697 citations

  This volume is presented as an essential resource for understanding career development, assessment, and counseling, featuring significant work in the field.

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• How the machine ‘thinks’: Understanding opacity in machine learning algorithms

  Big Data & Society · 2016 · Q1 · SJR 2.00 · FWCI 163.79 · 2,546 citations · Open access

  This article distinguishes three forms of opacity in machine learning algorithms used for classification and ranking: corporate/state secrecy, technical illiteracy, and inherent algorithmic opacity. It argues that identifying the specific type of opacity is crucial for selecting appropriate solutions to prevent harm.

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• Women, Minorities, and Persons with Disabilities in Science and Engineering: 2013

  PsycEXTRA Dataset · 2013 · 2,505 citations

  This 2013 report compiles statistical data on the representation of women, minorities, and individuals with disabilities in science and engineering education and employment.

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• What is AI Literacy? Competencies and Design Considerations

  2020 · 2,406 citations

  This paper defines AI literacy by synthesizing interdisciplinary research into a set of core competencies and proposes design considerations for AI developers and educators.

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• Human Trust in Artificial Intelligence: Review of Empirical Research

  Academy of Management Annals · 2020 · Q1 · SJR 14.00 · FWCI 161.26 · 2,356 citations

  This review synthesizes 20 years of research on human trust in AI, identifying AI's representation (robot, virtual, embedded) and machine intelligence level as key antecedents. It highlights tangibility, transparency, reliability, and immediacy for cognitive trust, and anthropomorphism for emotional trust.

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• Measuring the Prevalence of Questionable Research Practices With Incentives for Truth Telling

  Psychological Science · 2012 · Q1 · SJR 2.00 · FWCI 132.07 · 2,336 citations

  A survey of over 2,000 psychologists using anonymous reporting and truth-telling incentives revealed a surprisingly high prevalence of questionable research practices, suggesting they may be the prevailing norm.

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• A systematic review of the psychological and social benefits of participation in sport for children and adolescents: informing development of a conceptual model of health through sport

  International Journal of Behavioral Nutrition and Physical Activity · 2013 · Q1 · SJR 2.00 · FWCI 24.60 · 2,297 citations · Open access

  A systematic review of 30 studies found that sport participation, particularly team sports, offers psychological and social health benefits for children and adolescents beyond general physical activity, including improved self-esteem and social interaction.

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• Data Collection in a Flat World: The Strengths and Weaknesses of Mechanical Turk Samples

  Journal of Behavioral Decision Making · 2012 · Q1 · FWCI 165.69 · 2,294 citations

  Mechanical Turk (MTurk) offers quick, inexpensive access to research participants, but exhibits key differences from traditional samples, including lower attention and a tendency to search for answers online.

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• Promoting Positive Youth Development Through School-Based Social and Emotional Learning Interventions: A Meta-Analysis of Follow-Up Effects

  Child Development · 2017 · Q1 · SJR 1.00 · FWCI 32.90 · 2,202 citations

  A meta-analysis of 82 school-based social and emotional learning (SEL) interventions shows that SEL significantly enhances positive youth development, with benefits persisting for up to 18 years post-intervention.

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• The age of surveillance capitalism: the fight for a human future at the new frontier of power

  Journal of Cyber Policy · 2019 · 2,114 citations

  This article introduces the concept of 'surveillance capitalism' as a new frontier of power, framing it as a fight for humanity's future.

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• European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”

  AI Magazine · 2017 · Q2 · FWCI 257.19 · 2,099 citations

  The EU's General Data Protection Regulation (GDPR), effective 2018, will restrict automated individual decision-making by algorithms that significantly affect users.

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• Equality of Opportunity in Supervised Learning

  arXiv (Cornell University) · 2016 · 1,926 citations · Open access

  Researchers propose a new criterion for measuring and removing discrimination against sensitive attributes in supervised machine learning models, shifting the cost of poor classification to the decision-maker.

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• Certifying and Removing Disparate Impact

  2015 · 1,799 citations

  This paper defines disparate impact in algorithms as a legal concept where a seemingly neutral selection process yields widely different outcomes for different protected groups.

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• Model Cards for Model Reporting

  2019 · 1,774 citations

  This paper introduces 'model cards,' a standardized documentation framework for machine learning models to enhance transparency and guide appropriate usage.

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Recently added

• Sycophantic AI decreases prosocial intentions and promotes dependence

  Science · 2026 · Q1 · SJR 10.00 · FWCI 715.15 · 118 citations · Open access

  AI systems affirm users' harmful actions 49% more often than humans, leading to reduced willingness to take responsibility and increased conviction in being right after just one interaction.

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• Behavioral Game Theory

  Cambridge University Press eBooks · 2025 · 1,345 citations

  Behavioral economics, enriched by psychology, sociology, evolutionary biology, and neuroscience, offers a more empirically supported foundation for economic principles and necessitates a fundamental transformation of economics.

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• Why Johnny Can’t Prompt: How Non-AI Experts Try (and Fail) to Design LLM Prompts

  2023 · 830 citations · Open access

  Non-AI experts struggle to design effective prompts for large language models (LLMs), exploring prompt designs opportunistically rather than systematically and encountering barriers like overgeneralization and expectations from human-to-human instruction.

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• Generative AI and the future of education: Ragnarök or reformation? A paradoxical perspective from management educators

  The International Journal of Management Education · 2023 · Q1 · SJR 1.00 · FWCI 226.14 · 1,032 citations

  Generative AI presents a paradox for education: it is both a 'friend' and 'foe,' 'capable' yet 'dependent,' 'accessible' but 'restrictive,' and gains popularity when 'banned.'

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• Collaborating With ChatGPT: Considering the Implications of Generative Artificial Intelligence for Journalism and Media Education

  Journalism & Mass Communication Educator · 2023 · Q1 · SJR 1.00 · FWCI 202.89 · 928 citations · Open access

  ChatGPT can generate text responses based on user prompts, demonstrating both capacity and limitations for journalism and media education.

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• What factors contribute to the acceptance of artificial intelligence? A systematic review

  Telematics and Informatics · 2022 · Q1 · SJR 2.00 · FWCI 27.82 · 932 citations

  A systematic review of 60 articles reveals that perceived usefulness, performance expectancy, attitudes, trust, and effort expectancy significantly predict AI acceptance across industries, though cultural factors may limit AI's replacement of human contact.

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• Measuring user competence in using artificial intelligence: validity and reliability of artificial intelligence literacy scale

  Behaviour and Information Technology · 2022 · Q1 · SJR 1.00 · FWCI 106.00 · 801 citations

  A new 12-item AI Literacy Scale, validated across two samples, measures user competence in AI across awareness, use, evaluation, and ethics.

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• Conceptualizing AI literacy: An exploratory review

  Computers and Education Artificial Intelligence · 2021 · Q1 · SJR 7.00 · FWCI 106.78 · 1,580 citations

  This review proposes a four-aspect framework (know/understand, use/apply, evaluate/create, ethical issues) to define and foster AI literacy, based on an analysis of 30 existing articles.

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Journals in this field

The journals that publish most of this field’s papers. Quartile (Q1–Q4), SJR and h-index are from SCImago Journal Rank; “in this field” is how many of the journal’s pooled papers belong here. What is a Q1 journal? · What is the h-index?

Every journal in Safety Research (Q1–Q4) →

Other subfields in Social Sciences

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• Geography, Planning and Development
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