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Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development
16 references·1 citing·44 second hop
Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development (2021)Machine Learning Practices Outside Big Te…Where Responsible AI meets Reality (2021)Where Responsible AI meets Re…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…Closing the AI accountability gap (2020)Closing the AI accountability…Model Cards for Model Reporting (2019)Model Cards for Model Reporti…Improving Fairness in Machine Learning Systems (2019)Improving Fairness in Machine…Human-AI Collaboration in Data Science (2019)Human-AI Collaboration in Dat…How Data Science Workers Work with Data (2019)How Data Science Workers Work…Conducting in-depth interviews with and without voice recorders: a comparative analysis (2019)Conducting in-depth interview…Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance (2019)Beyond Accuracy: The Role of …Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science (2018)Data Statements for Natural L…European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (2017)European Union Regulations on…There is a blind spot in AI research (2016)There is a blind spot in AI r…Convenience Sampling, Random Sampling, and Snowball Sampling: How Does Sampling Affect the Validity of Research? (2015)Convenience Sampling, Random …Using thematic analysis in psychology (2006)Using thematic analysis in ps…The role of trust in automation reliance (2003)The role of trust in automati…A value for n -person games (1988)A value for n -person gamesTowards a Process Model to Enable Domain Experts to Become Citizen Data Scientists for Industrial Applications (2022)Towards a Process Model to En…Qualitative evaluation and research methods (1990)Qualitative Data Analysis: An Expanded Sourcebook (1994)Basics of qualitative research : techniques and procedures for developing grounded theory (1998)Older Adults' Reasons for Using Technology while Aging in Place (2015)Thematic Analysis (2017)Reflecting on reflexive thematic analysis (2019)The Handbook of Social Psychology (1969)Humans and Automation: Use, Misuse, Disuse, Abuse (1997)Automation bias: a systematic review of frequency, effect mediators, and mitigators (2011)Engineering Psychology and Human Performance (2015)A Meta-Analysis of Factors Influencing the Development of Trust in Automation (2016)'It's Reducing a Human Being to a Percentage' (2018)Judgment under Uncertainty: Heuristics and Biases (1974)Judgment under Uncertainty: Heuristics and Biases (1975)Stanford Encyclopedia of Philosophy (2015)Investigating Ad Transparency Mechanisms in Social Media: A Case Study of Facebook's Explanations (2018)From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices (2019)Bridging the Gap Between Ethics and Practice (2020)Discrimination in Online Ad Delivery (2013)Big Data's Disparate Impact (2014)Predictions put into practice: a quasi-experimental evaluation of Chicago’s predictive policing pilot (2016)Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management (2018)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement (2015)Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory, and Antiracist Politics [1989] (2018)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)On the Opportunities and Risks of Foundation Models (2021)The Study of Second Language Acquisition (1996)CONSORT 2010 Explanation and Elaboration: updated guidelines for reporting parallel group randomised trials (2010)Publication Manual of the American Psychological Association (2011)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)The Statistical Theory of Racism and Sexism. (1972)Fairness through awareness (2012)Algorithmic Bias in Education (2021)Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)PRODUCT DEVELOPMENT: PAST RESEARCH, PRESENT FINDINGS, AND FUTURE DIRECTIONS (1995)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)The global landscape of AI ethics guidelines (2019)Taxonomy of Risks posed by Language Models (2022)Trustworthy Artificial Intelligence: A Review (2022)Cores of convex games (1971)Graphs and Cooperation in Games (1977)Property Rights and the Nature of the Firm (1990)Principles alone cannot guarantee ethical AI (2019)
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References

  • 2006Using thematic analysis in psychology208,861 cited
  • 2021A Survey on Bias and Fairness in Machine Learning6,499 cited
  • 1988A value for n -person games4,956 cited
  • 2019Model Cards for Model Reporting3,049 cited
  • 2017European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”2,427 cited
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  • 2019Human-AI Collaboration in Data Science351 cited
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How Data Science Workers Work with Data
263 cited

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  • 2022Towards a Process Model to Enable Domain Experts to Become Citizen Data Scientists for Industrial Applications10 cited