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Why the world wants controls over Artificial Intelligence
16 references·12 citing·35 second hop
Why the world wants controls over Artificial Intelligence (2019)Why the world wants controls over Artific…General Data Protection Regulation (2019)General Data Protection Regul…The General Data Protection Regulation (2018)The General Data Protection R…A Right to Reasonable Inferences: Re-Thinking Data Protection Law in the Age of Big Data and AI (2018)A Right to Reasonable Inferen…Meaningful information and the right to explanation (2017)Meaningful information and th…How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)How the machine ‘thinks’: Und…AI: Its Nature and Future (2016)AI: Its Nature and FutureRegulating Artificial Intelligence Systems: Risks, Challenges, Competencies, and Strategies (2015)Regulating Artificial Intelli…Understanding the drone epidemic (2014)Understanding the drone epide…The Singularity is Near (2014)The Singularity is NearBig data: a revolution that will transform how we live, work, and think (2014)Big data: a revolution that w…Big data: a revolution that will transform how we live, work, and think (2013)Big data: a revolution that w…CRITICAL QUESTIONS FOR BIG DATA (2012)CRITICAL QUESTIONS FOR BIG DA…Beyond Accuracy: What Data Quality Means to Data Consumers (1996)Beyond Accuracy: What Data Qu…Research problems in data warehousing (1995)Research problems in data war…What Computers Still Can't Do: A Critique of Artificial Reason (1994)What Computers Still Can't Do…Computer power and human reason (1976)Computer power and human reas…When Usefulness Fuels Fear: The Paradox of Generative AI Dependence and the Mitigating Role of AI Literacy (2025)When Usefulness Fuels Fear: T…Unveiling the Impact of AI Technological Anxiety on the Marketers' Intention to Adopt Generative AI (2025)Unveiling the Impact of AI Te…AI algorithm transparency, pipelines for trust not prisms: mitigating general negative attitudes and enhancing trust toward AI (2025)AI algorithm transparency, pi…Exploring predictors of AI chatbot usage intensity among students: Within- and between-person relationships based on the technology acceptance model (2024)Exploring predictors of AI ch…Can we build a relationship through artificial intelligence (AI)? 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A comparative examination of the Loneliness–Robot anthropomorphism link in the United States and China (2022)Do lonely people seek robot c…Achieving a Data-Driven Risk Assessment Methodology for Ethical AI (2022)Achieving a Data-Driven Risk …Augmented Humanity (2021)Augmented HumanityRobots are friends as well as foes: Ambivalent attitudes toward mindful and mindless AI robots in the United States and China (2020)Robots are friends as well as…Examining How GDPR Challenges Emerging Technologies (2020)Examining How GDPR Challenges…The Strength of Weak Ties (1973)Writing Culture (1986)Writing Culture: The Poetics and Politics of Ethnography (1986)Big Data, new epistemologies and paradigm shifts (2014)Datafication, dataism and dataveillance: Big Data between scientific paradigm and ideology (2014)Algorithms at Work: The New Contested Terrain of Control (2019)Out of the Crisis (1982)Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation (1991)Information Systems Success: The Quest for the Dependent Variable (1992)Data quality in context (1997)AIMQ: a methodology for information quality assessment (2002)Data quality assessment (2002)The EU General Data Protection Regulation (GDPR) (2017)Corporate digital responsibility (2019)The European Legislation on AI: a Brief Analysis of its Philosophical Approach (2021)The flaws of policies requiring human oversight of government algorithms (2022)Fairness through awareness (2012)Big Data's Disparate Impact (2014)The Relevance of Algorithms (2014)On the Opportunities and Risks of Foundation Models (2021)Growth, innovation, scaling, and the pace of life in cities (2007)The Threat of Algocracy: Reality, Resistance and Accommodation (2016)Artificial Intelligence and Management: The Automation–Augmentation Paradox (2021)Duplicate Record Detection: A Survey (2006)Evaluating multiple classifiers for stock price direction prediction (2015)Predicting the direction of stock market prices using tree-based classifiers (2018)Measurement Instruments for the Anthropomorphism, Animacy, Likeability, Perceived Intelligence, and Perceived Safety of Robots (2008)Future Progress in Artificial Intelligence: A Survey of Expert Opinion (2016)The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms (2017)Minds, brains, and programs (1980)Music in Everyday Life (2000)Toward a Theory of Gender (2013)Big other: Surveillance Capitalism and the Prospects of an Information Civilization (2015)The ethics of algorithms: Mapping the debate (2016)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)
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References

  • 2012CRITICAL QUESTIONS FOR BIG DATA5,449 cited
  • 1996Beyond Accuracy: What Data Quality Means to Data Consumers4,663 cited
  • 2013Big data: a revolution that will transform how we live, work, and think3,631 cited
  • 2016How the machine ‘thinks’: Understanding opacity in machine learning algorithms3,179 cited
  • 1994What Computers Still Can't Do: A Critique of Artificial Reason1,635 cited
  • 2014Big data: a revolution that will transform how we live, work, and think1,629 cited
  • 1976Computer power and human reason1,053 cited
  • 2018The General Data Protection Regulation991 cited
  • 2014The Singularity is Near865 cited
  • 1995Research problems in data warehousing641 cited
  • 2015Regulating Artificial Intelligence Systems: Risks, Challenges, Competencies, and Strategies564 cited
  • 2017Meaningful information and the right to explanation513 cited
  • 2018A Right to Reasonable Inferences: Re-Thinking Data Protection Law in the Age of Big Data and AI463 cited
  • 2016AI: Its Nature and Future293 cited
  • 2019General Data Protection Regulation274 cited
  • 2014Understanding the drone epidemic

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234 cited

Cited by

  • 2020Robots are friends as well as foes: Ambivalent attitudes toward mindful and mindless AI robots in the United States and China170 cited
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  • 2022Do lonely people seek robot companionship? A comparative examination of the Loneliness–Robot anthropomorphism link in the United States and China63 cited
  • 2025AI algorithm transparency, pipelines for trust not prisms: mitigating general negative attitudes and enhancing trust toward AI45 cited
  • 2024Can we build a relationship through artificial intelligence (AI)? Understanding the impact of AI on organization-public relationships42 cited
  • 2022Achieving a Data-Driven Risk Assessment Methodology for Ethical AI36 cited
  • 2024Exploring predictors of AI chatbot usage intensity among students: Within- and between-person relationships based on the technology acceptance model34 cited
  • 2025When Usefulness Fuels Fear: The Paradox of Generative AI Dependence and the Mitigating Role of AI Literacy34 cited
  • 2025Unveiling the Impact of AI Technological Anxiety on the Marketers' Intention to Adopt Generative AI26 cited
  • 2022On the Controllability of Artificial Intelligence: An Analysis of Limitations23 cited
  • 2020Examining How GDPR Challenges Emerging Technologies10 cited
  • 2021Augmented Humanity8 cited