SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Responsible use of AI in military systems: prospects and challenges
16 references·0 citing·47 second hop
Responsible use of AI in military systems: prospects and challenges (2023)Responsible use of AI in military systems…Supporting Human-AI Teams:Transparency, explainability, and situation awareness (2022)Supporting Human-AI Teams:Tra…Exploring the Relationship Between Ethics and Trust in Human–Artificial Intelligence Teaming: A Mixed Methods Approach (2022)Exploring the Relationship Be…Algorithm Auditing: Managing the Legal, Ethical, and Technological Risks of Artificial Intelligence, Machine Learning, and Associated Algorithms (2022)Algorithm Auditing: Managing …Agent Transparency, Situation Awareness, Mental Workload, and Operator Performance: A Systematic Literature Review (2022)Agent Transparency, Situation…A Comparative Analysis of the Definitions of Autonomous Weapons Systems (2022)A Comparative Analysis of the…Trust repair in human-agent teams: the effectiveness of explanations and expressing regret (2021)Trust repair in human-agent t…The Ethics of AI Ethics: An Evaluation of Guidelines (2020)The Ethics of AI Ethics: An E…Lessons learned from AI ethics principles for future actions (2020)Lessons learned from AI ethic…Hybrid collective intelligence in a human–AI society (2020)Hybrid collective intelligenc…The global landscape of AI ethics guidelines (2019)The global landscape of AI et…Ironies of Automation: Still Unresolved After All These Years (2017)Ironies of Automation: Still …The Risks of Autonomy (2016)The Risks of AutonomyFrom Here to Autonomy (2016)From Here to AutonomyDesigning for Situation Awareness (2003)Designing for Situation Aware…Human interaction with an “intelligent” machine (1987)Human interaction with an “in…Ironies of automation (1983)Ironies of automationReview and conceptual analysis of the employee turnover process. (1979)Human–Robot Interaction: A Survey (2008)Complacency and Bias in Human Use of Automation: An Attentional Integration (2010)Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy (2020)Categories and Concepts (1981)SCRIPTS, PLANS, GOALS, AND UNDERSTANDING (1988)Plans and Situated Actions: The Problem of Human-Machine Communication (1990)Cognitive modelling of fighter aircraft process control: a step towards an intelligent on-board assistance system (1992)Brittleness in the design of cooperative problem-solving systems: the effects on user performance (1997)Using Formal Verification to Evaluate Human-Automation Interaction: A Review (2013)Toward a Theory of Situation Awareness in Dynamic Systems (1995)Humans and Automation: Use, Misuse, Disuse, Abuse (1997)Trust in Automation: Designing for Appropriate Reliance (2004)From ‘automation’ to ‘autonomy’: the importance of trust repair in human–machine interaction (2018)Human–Autonomy Teaming: A Review and Analysis of the Empirical Literature (2020)Designing for Situation Awareness: An Approach to User-Centered Design (2003)Situation Awareness, Mental Workload, and Trust in Automation: Viable, Empirically Supported Cognitive Engineering Constructs (2008)Developing a Tool to Measure and Compare Organizations’ Resilience (2013)Situation Awareness Misconceptions and Misunderstandings (2015)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)Principles alone cannot guarantee ethical AI (2019)Ethics of AI in Education: Towards a Community-Wide Framework (2021)Experimental evidence of massive-scale emotional contagion through social networks (2014)AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)Emerging challenges in AI and the need for AI ethics education (2020)Ethical principles for artificial intelligence in education (2022)Trustworthy Artificial Intelligence: A Review (2022)An introduction to cybernetics (1956)Minds, brains, and programs (1980)Thinking, Fast and Slow (2011)What is Human-Centered about Human-Centered AI? A Map of the Research Landscape (2023)A systematic analysis of digital tools for citizen participation (2024)AI-Driven Intelligent Data Analytics and Predictive Analysis in Industry 4.0: Transforming Knowledge, Innovation, and Efficiency (2024)The Black Box Society (2015)Development and validation of an instrument to measure undergraduate students’ attitudes toward the ethics of artificial intelligence (AT-EAI) and analysis of its difference by gender and experience of AI education (2022)From AI ethics principles to data science practice: a reflection and a gap analysis based on recent frameworks and practical experience (2022)PHILOSOPHY IN BUSINESS ANALYTICS: A REVIEW OF SUSTAINABLE AND ETHICAL APPROACHES (2024)Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement (2015)Ironies of artificial intelligence (2023)“In Design and Humans we Trust“? – Drivers of Trust and Advice Discounting for Robo Advice (2024)Responsible Use of AI in Military Systems (2024)Human Trust in Artificial Intelligence: Review of Empirical Research (2020)Defining human-AI teaming the human-centered way: a scoping review and network analysis (2023)Human-machine Collaborative Decision-making: An Evolutionary Roadmap Based on Cognitive Intelligence (2023)AI-teaming: Redefining collaboration in the digital era (2024)
this work references cited by second hop

References

  • 2019The global landscape of AI ethics guidelines6,172 cited
  • 1983Ironies of automation2,111 cited
  • 2020The Ethics of AI Ethics: An Evaluation of Guidelines1,900 cited
  • 2016From Here to Autonomy892 cited
  • 2003Designing for Situation Awareness675 cited
  • 2022Supporting Human-AI Teams:Transparency, explainability, and situation awareness314 cited
  • 2020Hybrid collective intelligence in a human–AI society229 cited
  • 1987Human interaction with an “intelligent” machine187 cited
  • 2020Lessons learned from AI ethics principles for future actions168 cited
  • 2022Agent Transparency, Situation Awareness, Mental Workload, and Operator Performance: A Systematic Literature Review164 cited
  • 2017Ironies of Automation: Still Unresolved After All These Years140 cited
  • 2022A Comparative Analysis of the Definitions of Autonomous Weapons Systems90 cited
  • 2021Trust repair in human-agent teams: the effectiveness of explanations and expressing regret83 cited
  • 2016The Risks of Autonomy60 cited
  • 2022Exploring the Relationship Between Ethics and Trust in Human–Artificial Intelligence Teaming: A Mixed Methods Approach58 cited

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

  • 2022Algorithm Auditing: Managing the Legal, Ethical, and Technological Risks of Artificial Intelligence, Machine Learning, and Associated Algorithms55 cited
  • Cited by

    No citing works inside the corpus for this window.