SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Good Intentions, Risky Inventions: A Method for Assessing the Risks and Benefits of AI in Mobile and Wearable Uses
16 references·0 citing·48 second hop
Good Intentions, Risky Inventions: A Method for Assessing the Risks and Benefits of AI in Mobile and Wearable Uses (2024)Good Intentions, Risky Inventions: A Meth…To Be High-Risk, or Not To Be—Semantic Specifications and Implications of the AI Act’s High-Risk AI Applications and Harmonised Standards (2023)To Be High-Risk, or Not To Be…ChatGPT outperforms crowd workers for text-annotation tasks (2023)ChatGPT outperforms crowd wor…Algorithmic Power or Punishment: Information Worker Perspectives on Passive Sensing Enabled AI Phenotyping of Performance and Wellbeing (2023)Algorithmic Power or Punishme…The Coding Manual for Qualitative Researchers (2022)The Coding Manual for Qualita…Capable but Amoral? Comparing AI and Human Expert Collaboration in Ethical Decision Making (2022)Capable but Amoral? Comparing…Algorithmic Impact Assessments and Accountability (2021)Algorithmic Impact Assessment…Emerging challenges in AI and the need for AI ethics education (2020)Emerging challenges in AI and…A Decade of Ubiquitous Computing Research in Mental Health (2020)A Decade of Ubiquitous Comput…Smartphone technologies supporting community-based environmental monitoring and implementation: a systematic scoping review (2019)Smartphone technologies suppo…Reliability and Inter-rater Reliability in Qualitative Research (2019)Reliability and Inter-rater R…Model Cards for Model Reporting (2019)Model Cards for Model Reporti…Differentiating Higher and Lower Job Performers in the Workplace Using Mobile Sensing (2019)Differentiating Higher and Lo…The ethics of algorithms: Mapping the debate (2016)The ethics of algorithms: Map…Examining individuals’ adoption of healthcare wearable devices: An empirical study from privacy calculus perspective (2016)Examining individuals’ adopti…International Federation Of Accountants (2010)International Federation Of A…Qualitative Data Analysis: A Methods Sourcebook (1988)Qualitative Data Analysis: A …Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Structural equation modeling in practice: A review and recommended two-step approach. (1988)Computer Self-Efficacy: Development of a Measure and Initial Test (1995)Health monitoring through wearable technologies for older adults: Smart wearables acceptance model (2018)Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective (2020)Understanding consumer acceptance of healthcare wearable devices: An integrated model of UTAUT and TTF (2020)Truth and Method (1960)Why Most Published Research Findings Are False (2005)Stanford Encyclopedia of Philosophy (2015)Artificial Intelligence and the Public Sector—Applications and Challenges (2018)Principles alone cannot guarantee ethical AI (2019)Setting the future of digital and social media marketing research: Perspectives and research propositions (2020)Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement (2015)Data Feminism (2020)A Survey on Bias and Fairness in Machine Learning (2021)On the Opportunities and Risks of Foundation Models (2021)The Discovery of Grounded Theory: Strategies for Qualitative Research. (1968)The Measurement of Observer Agreement for Categorical Data (1977)Using thematic analysis in psychology (2006)“Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI (2021)Playing Video Games During the COVID-19 Pandemic and Effects on Players’ Well-Being (2021)The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers (2025)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)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)Shaping Technology, Building Society: Studies in Sociotechnical Change. (1993)Posthumanist Performativity: Toward an Understanding of How Matter Comes to Matter (2003)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning (2022)Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem (2022)Auditing of AI: Legal, Ethical and Technical Approaches (2023)The Discovery of Grounded Theory; Strategies for Qualitative Research (1968)Qualitative Research: A Guide to Design and Implementation (2009)Qualitative Content Analysis (2014)Qualitative Inquiry and Research Design: Choosing Among Five Approaches (2015)Defining digital transformation: Results from expert interviews (2019)Grounded theory research: A design framework for novice researchers (2019)Ecoefficiency: Defining a role for environmental cost management (2007)The incorporation of soft skills into accounting curricula: preparing accounting graduates for their unpredictable futures (2010)Connecting the COVID-19 pandemic, environmental, social and governance (ESG) investing and calls for ‘harmonisation’ of sustainability reporting (2021)Thematic Analysis (2017)A simple method to assess and report thematic saturation in qualitative research (2020)Can Large Language Models Transform Computational Social Science? (2023)Can Generative AI improve social science? (2024)Durably reducing conspiracy beliefs through dialogues with AI (2024)
this work references cited by second hop

References

  • 1988Qualitative Data Analysis: A Methods Sourcebook20,700 cited
  • 2022The Coding Manual for Qualitative Researchers10,828 cited
  • 2016The ethics of algorithms: Mapping the debate3,541 cited
  • 2019Model Cards for Model Reporting2,653 cited
  • 2019Reliability and Inter-rater Reliability in Qualitative Research1,203 cited
  • 2023ChatGPT outperforms crowd workers for text-annotation tasks1,193 cited
  • 2020Emerging challenges in AI and the need for AI ethics education625 cited
  • 2016Examining individuals’ adoption of healthcare wearable devices: An empirical study from privacy calculus perspective433 cited
  • 2010International Federation Of Accountants427 cited
  • 2021Algorithmic Impact Assessments and Accountability195 cited
  • 2019Smartphone technologies supporting community-based environmental monitoring and implementation: a systematic scoping review106 cited
  • 2019Differentiating Higher and Lower Job Performers in the Workplace Using Mobile Sensing82 cited
  • 2020A Decade of Ubiquitous Computing Research in Mental Health77 cited
  • 2022Capable but Amoral? Comparing AI and Human Expert Collaboration in Ethical Decision Making70 cited
  • 2023To Be High-Risk, or Not To Be—Semantic Specifications and Implications of the AI Act’s High-Risk AI Applications and Harmonised Standards

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

42 cited
  • 2023Algorithmic Power or Punishment: Information Worker Perspectives on Passive Sensing Enabled AI Phenotyping of Performance and Wellbeing41 cited
  • Cited by

    No citing works inside the corpus for this window.