SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Ethical Dimensions of AI Development
16 references·0 citing·51 second hop
Ethical Dimensions of AI Development (2024)Ethical Dimensions of AI DevelopmentEthics of AI: A Systematic Literature Review of Principles and Challenges (2022)Ethics of AI: A Systematic Li…An Overview of Artificial Intelligence Ethics (2022)An Overview of Artificial Int…Ethical Machine Learning in Healthcare (2021)Ethical Machine Learning in H…Ethical Issues of AI (2021)Ethical Issues of AIEmerging Consensus on ‘Ethical AI’: Human Rights Critique of Stakeholder Guidelines (2021)Emerging Consensus on ‘Ethica…Technologies of Crime Prediction: The Reception of Algorithms in Policing and Criminal Courts (2020)Technologies of Crime Predict…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…Designing for human rights in AI (2020)Designing for human rights in…Artificial Intelligence, Predictive Policing, and Risk Assessment for Law Enforcement (2020)Artificial Intelligence, Pred…Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda (2020)Artificial intelligence for s…Artificial intelligence and crime: A primer for criminologists (2020)Artificial intelligence and c…AI for humanitarian action: Human rights and ethics (2020)AI for humanitarian action: H…Designing AI for Social Good: Seven Essential Factors (2019)Designing AI for Social Good:…The Rise of Artificial Intelligence under the Lens of Sustainability (2018)The Rise of Artificial Intell…Artificial Intelligence & Human Rights: Opportunities & Risks (2018)Artificial Intelligence & Hum…Human Decisions and Machine Predictions (2017)Understanding artificial intelligence ethics and safety (2019)From human resources to human rights: Impact assessments for hiring algorithms (2021)Institutionalized Organizations: Formal Structure as Myth and Ceremony (1977)Neighborhoods and Violent Crime: A Multilevel Study of Collective Efficacy (1997)Seeing like a State: How Certain Schemes to Improve the Human Condition Have Failed (1998)Predict and Surveil (2020)The flaws of policies requiring human oversight of government algorithms (2022)“Collaborating” with AI: Taking a System View to Explore the Future of Work (2023)Privacy in Context (2009)Semantics derived automatically from language corpora contain human-like biases (2017)AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)A Unified Framework of Five Principles for AI in Society (2019)From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices (2019)“Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI (2021)The productivity paradox of information technology (1993)The Race Between Machine and Man: Implications of Technology for Growth, Factor Shares and Employment (2016)A review of affective computing: From unimodal analysis to multimodal fusion (2017)Artificial intelligence in supply chain management: A systematic literature review (2020)Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence, sustainable manufacturing practices and circular economy capabilities (2020)Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review (2023)Private traits and attributes are predictable from digital records of human behavior (2013)Big Data, new epistemologies and paradigm shifts (2014)Fairness and Abstraction in Sociotechnical Systems (2019)Ethics-Based Auditing of Automated Decision-Making Systems: Nature, Scope, and Limitations (2021)AI Decision Making with Dignity? Contrasting Workers’ Justice Perceptions of Human and AI Decision Making in a Human Resource Management Context (2022)Defining organizational AI governance (2022)Dissecting racial bias in an algorithm used to manage the health of populations (2019)The global landscape of AI ethics guidelines (2019)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)Artificial intelligence in education: Addressing ethical challenges in K-12 settings (2021)Ethical principles for artificial intelligence in education (2022)New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution (2023)Health Care Disparities (2003)CRITICAL QUESTIONS FOR BIG DATA (2012)Algorithmic fairness in artificial intelligence for medicine and healthcare (2023)Bias in artificial intelligence algorithms and recommendations for mitigation (2023)TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods (2024)I.—COMPUTING MACHINERY AND INTELLIGENCE (1950)Statistics for Spatial Data (1993)Stanford Encyclopedia of Philosophy 2009 (2015)Survey on Machine Learning Biases and Mitigation Techniques (2023)The Ethical Implications of Artificial Intelligence (AI) For Meaningful Work (2023)The Global Governance of Artificial Intelligence: Next Steps for Empirical and Normative Research (2023)The future of employment: How susceptible are jobs to computerisation? (2016)Human-AI interaction research agenda: A user-centered perspective (2024)The digital divide in action: how experiences of digital technology shape future relationships with artificial intelligence (2024)Extending the technology acceptance model: The role of subjective norms, ethics, and trust in AI tool adoption among students (2025)Bridging the Gap Between Ethics and Practice (2020)Education for AI, not AI for Education: The Role of Education and Ethics in National AI Policy Strategies (2021)Responsible artificial intelligence governance: A review and research framework (2025)
this work references cited by second hop

References

  • 2020Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda1,201 cited
  • 2020Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI1,048 cited
  • 2020Emerging challenges in AI and the need for AI ethics education711 cited
  • 2021Ethical Machine Learning in Healthcare670 cited
  • 2022An Overview of Artificial Intelligence Ethics582 cited
  • 2019Designing AI for Social Good: Seven Essential Factors546 cited
  • 2020Technologies of Crime Prediction: The Reception of Algorithms in Policing and Criminal Courts280 cited
  • 2020Designing for human rights in AI220 cited
  • 2020Artificial Intelligence, Predictive Policing, and Risk Assessment for Law Enforcement213 cited
  • 2018Artificial Intelligence & Human Rights: Opportunities & Risks188 cited
  • 2018The Rise of Artificial Intelligence under the Lens of Sustainability187 cited
  • 2022Ethics of AI: A Systematic Literature Review of Principles and Challenges169 cited
  • 2021Ethical Issues of AI158 cited
  • 2020Artificial intelligence and crime: A primer for criminologists141 cited
  • 2020AI for humanitarian action: Human rights and ethics

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

132 cited
  • 2021Emerging Consensus on ‘Ethical AI’: Human Rights Critique of Stakeholder Guidelines126 cited
  • Cited by

    No citing works inside the corpus for this window.