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ARTIFICIAL INTELLIGENCE AND LABOR
16 references·0 citing·51 second hop
ARTIFICIAL INTELLIGENCE AND LABOR (2021)ARTIFICIAL INTELLIGENCE AND LABORMitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices (2023)Mitigating Bias in Algorithmi…Using Artificial Intelligence to classify Jobseekers: The Accuracy-Equity Trade-off (2020)Using Artificial Intelligence…Mitigating bias in algorithmic hiring (2020)Mitigating bias in algorithmi…Bias in Multimodal AI: Testbed for Fair Automatic Recruitment (2020)Bias in Multimodal AI: Testbe…What Does It Mean to ‘Solve’ the Problem of Discrimination in Hiring? (2019)What Does It Mean to ‘Solve’ …Digital Transformation in Business and Society (2019)Digital Transformation in Bus…Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction (2019)Artificial Intelligence: The …Artificial Intelligence in Financial Services (2019)Artificial Intelligence in Fi…Algorithmic equity in the hiring of underrepresented IT job candidates (2019)Algorithmic equity in the hir…Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career Ads (2019)Algorithmic Bias? An Empirica…Economic Policy for Artificial Intelligence (2018)Economic Policy for Artificia…Economic Policy for Artificial Intelligence (2018)Economic Policy for Artificia…Bots, Bias and Big Data: Artificial Intelligence, Algorithmic Bias and Disparate Impact Liability in Hiring Practices (2018)Bots, Bias and Big Data: Arti…What Should We Do After Work? Automation and Employment Law (2017)What Should We Do After Work?…The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms (2017)The forthcoming Artificial In…Big Data's Disparate Impact (2014)Big Data's Disparate ImpactMale-Female Wage Differentials in Urban Labor Markets (1973)A Grand Gender Convergence: Its Last Chapter (2014)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)A strategic framework for artificial intelligence in marketing (2020)A Survey on Bias and Fairness in Machine Learning (2021)Algorithmic bias: review, synthesis, and future research directions (2021)Big data: a revolution that will transform how we live, work, and think (2013)Superintelligence: paths, dangers, strategies (2015)The future of employment: How susceptible are jobs to computerisation? (2016)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Consumers acceptance of artificially intelligent (AI) device use in service delivery (2019)The role of artificial intelligence in achieving the Sustainable Development Goals (2020)The Competitive Advantage of Nations (1990)The Competitive Advantage of Nations (1991)Capital in the Twenty-First Century (2014)Artificial intelligence and big data in entrepreneurship: a new era has begun (2019)Artificial Intelligence and Entrepreneurship: Implications for Venture Creation in the Fourth Industrial Revolution (2020)Brave New World? On AI and the Management of Customer Relationships (2020)Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher (1987)General purpose technologies ‘Engines of growth’? (1995)Big Data: New Tricks for Econometrics (2014)Artificial Intelligence, Firm Growth, and Industry Concentration (2020)Influences of the Industry 4.0 Revolution on the Human Capital Development and Consumer Behavior: A Systematic Review (2020)Experimental evidence on the productivity effects of generative artificial intelligence (2023)European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (2017)Some financial regulatory implications of artificial intelligence (2018)Leveraging machine learning in the global fight against money laundering and terrorism financing: An affordances perspective (2020)Digital innovation in wealth management landscape: the moderating role of robo advisors in behavioural biases and investment decision-making (2021)Disruptive technology and AI in the banking industry of an emerging market (2022)Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination (2004)Fairness and Abstraction in Sociotechnical Systems (2019)Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development (2020)Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda (2022)Ethics and discrimination in artificial intelligence-enabled recruitment practices (2023)Algorithms of Oppression (2018)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Inherent Tradeoffs in the Fair Determination of Risk Scores (2023)Gaydar: Facebook friendships expose sexual orientation (2009)Three naive Bayes approaches for discrimination-free classification (2010)Private traits and attributes are predictable from digital records of human behavior (2013)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)The ethics of algorithms: Mapping the debate (2016)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Macroeconomics of Unbalanced Growth: The Anatomy of Urban Crisis (1997)Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence (2002)Artificial Intelligence in Society (2019)Humans as Creativity Gatekeepers: Are We Biased Against AI Creativity? (2023)Toward an adequate taxonomy of personality attributes: Replicated factor structure in peer nomination personality ratings. (1963)Certifying and Removing Disparate Impact (2015)A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle (2021)Fairness in Machine Learning: A Survey (2023)
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References

  • 2014Big Data's Disparate Impact3,281 cited
  • 2017The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms2,011 cited
  • 2020Mitigating bias in algorithmic hiring1,020 cited
  • 2019Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career Ads887 cited
  • 2019Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction684 cited
  • 2018Economic Policy for Artificial Intelligence298 cited
  • 2019What Does It Mean to ‘Solve’ the Problem of Discrimination in Hiring?197 cited
  • 2018Economic Policy for Artificial Intelligence170 cited
  • 2019Artificial Intelligence in Financial Services133 cited
  • 2019Algorithmic equity in the hiring of underrepresented IT job candidates122 cited
  • 2020Using Artificial Intelligence to classify Jobseekers: The Accuracy-Equity Trade-off111 cited
  • 2018Bots, Bias and Big Data: Artificial Intelligence, Algorithmic Bias and Disparate Impact Liability in Hiring Practices96 cited
  • 2019Digital Transformation in Business and Society92 cited
  • 2017What Should We Do After Work? Automation and Employment Law73 cited
  • 2020Bias in Multimodal AI: Testbed for Fair Automatic Recruitment

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68 cited
  • 2023Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices65 cited
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