SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Ethics in the Age of AI: An Analysis of AI Practitioners’ Awareness and Challenges
16 references·7 citing·45 second hop
Ethics in the Age of AI: An Analysis of AI Practitioners’ Awareness and Challenges (2023)Ethics in the Age of AI: An Analysis of A…Where Responsible AI meets Reality (2021)Where Responsible AI meets Re…Ethics as a Service: A Pragmatic Operationalisation of AI Ethics (2021)Ethics as a Service: A Pragma…The Ethics of AI Ethics: An Evaluation of Guidelines (2020)The Ethics of AI Ethics: An E…Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI (2020)Principled Artificial Intelli…Emerging challenges in AI and the need for AI ethics education (2020)Emerging challenges in AI and…Artificial Intelligence (AI) Ethics (2020)Artificial Intelligence (AI) …A High-Level Overview of AI Ethics (2020)A High-Level Overview of AI E…The global landscape of AI ethics guidelines (2019)The global landscape of AI et…Principles alone cannot guarantee ethical AI (2019)Principles alone cannot guara…Improving Fairness in Machine Learning Systems (2019)Improving Fairness in Machine…Assessing gender bias in machine translation: a case study with Google Translate (2019)Assessing gender bias in mach…The Ethics of Artificial Intelligence (2018)The Ethics of Artificial Inte…Mapping the challenges of Artificial Intelligence in the public sector: Evidence from public healthcare (2018)Mapping the challenges of Art…Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making (2018)Fairness and Accountability D…Incorporating Ethics into Artificial Intelligence (2017)Incorporating Ethics into Art…Personal Opinion Surveys (2007)Personal Opinion SurveysToward sustainable AI leadership: ethical blind spots, accountability gaps and the CARE governance framework (2025)Toward sustainable AI leaders…Trust, artificial intelligence and software practitioners: an interdisciplinary agenda (2024)Trust, artificial intelligenc…Stakeholder Involvement for Responsible AI Development: A Process Framework (2024)Stakeholder Involvement for R…Reducing the incidence of biased algorithmic decisions through feature importance transparency: an empirical study (2024)Reducing the incidence of bia…On the Use of Generative AI for Literature Reviews: An Exploration of Tools and Techniques (2024)On the Use of Generative AI f…How to Regulate Large Language Models for Responsible AI (2024)How to Regulate Large Languag…Ethical AI and Decision-Making in Management Leadership (2024)Ethical AI and Decision-Makin…Coefficient Alpha and the Internal Structure of Tests (1951)Survey Research Methods. (1985)Validating Instruments in MIS Research1 (1989)Business process-based requirements specification and object-oriented conceptual modelling of information systems (2011)What is the perception of female and male software professionals on performance, team dynamics and job satisfaction? Insights from the trenches (2017)Psychometrics in Behavioral Software Engineering: A Methodological Introduction with Guidelines (2021)Fairness through awareness (2012)Big Data's Disparate Impact (2014)Do Artifacts Have Politics? (2017)Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI (2020)AI adoption and diffusion in public administration: A systematic literature review and future research agenda (2022)Towards a standard for identifying and managing bias in artificial intelligence (2022)Frame Analysis: An Essay on the Organization of Experience. (1975)Basics of qualitative research : techniques and procedures for developing grounded theory (1998)Framing Processes and Social Movements: An Overview and Assessment (2000)How and where is artificial intelligence in the public sector going? A literature review and research agenda (2019)Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda (2021)AI-employee collaboration and business performance: Integrating knowledge-based view, socio-technical systems and organisational socialisation framework (2022)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)Ethics of AI in Education: Towards a Community-Wide Framework (2021)Ethical Decision Making by Individuals in Organizations: An Issue-Contingent Model (1991)AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)Artificial Intelligence, Values, and Alignment (2020)Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda (2022)Experimental evidence of massive-scale emotional contagion through social networks (2014)Ethical principles for artificial intelligence in education (2022)Trustworthy Artificial Intelligence: A Review (2022)WHAT IS COMPUTER ETHICS?* (1985)The ethics of artificial intelligence (2014)An Overview of Artificial Intelligence Ethics (2022)Ethical Dilemmas and Privacy Issues in Emerging Technologies: A Review (2023)The blended future of automation and AI: Examining some long-term societal and ethical impact features (2023)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Fairness, Accountability, Transparency, and Ethics (FATE) in Artificial Intelligence (AI) and higher education: A systematic review (2023)“ChatGPT is the companion, not enemies”: EFL learners’ perceptions and experiences in using ChatGPT for feedback in writing (2024)Ethical and legal challenges of AI in marketing: an exploration of solutions (2024)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Algorithmic bias: review, synthesis, and future research directions (2021)Taxonomy of Risks posed by Language Models (2022)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Bridging the Gap Between Ethics and Practice (2020)Artificial intelligence, systemic risks, and sustainability (2021)Responsible artificial intelligence governance: A review and research framework (2025)
this work references cited by second hop

References

  • 2019The global landscape of AI ethics guidelines6,172 cited
  • 2020The Ethics of AI Ethics: An Evaluation of Guidelines1,900 cited
  • 2019Principles alone cannot guarantee ethical AI1,869 cited
  • 2020Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI998 cited
  • 2018Mapping the challenges of Artificial Intelligence in the public sector: Evidence from public healthcare947 cited
  • 2019Improving Fairness in Machine Learning Systems776 cited
  • 2020Emerging challenges in AI and the need for AI ethics education625 cited
  • 2020Artificial Intelligence (AI) Ethics532 cited
  • 2007Personal Opinion Surveys508 cited
  • 2018Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making491 cited
  • 2019Assessing gender bias in machine translation: a case study with Google Translate409 cited
  • 2017Incorporating Ethics into Artificial Intelligence388 cited
  • 2018The Ethics of Artificial Intelligence333 cited
  • 2021Where Responsible AI meets Reality329 cited
  • 2021Ethics as a Service: A Pragmatic Operationalisation of AI Ethics272 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2020A High-Level Overview of AI Ethics269 cited
  • Cited by

    • 2024Reducing the incidence of biased algorithmic decisions through feature importance transparency: an empirical study24 cited
    • 2024Stakeholder Involvement for Responsible AI Development: A Process Framework23 cited
    • 2024Trust, artificial intelligence and software practitioners: an interdisciplinary agenda22 cited
    • 2024On the Use of Generative AI for Literature Reviews: An Exploration of Tools and Techniques20 cited
    • 2024Ethical AI and Decision-Making in Management Leadership18 cited
    • 2024How to Regulate Large Language Models for Responsible AI18 cited
    • 2025Toward sustainable AI leadership: ethical blind spots, accountability gaps and the CARE governance framework13 cited