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Ethical Challenges and Managerial Implications of Artificial Intelligence in Digital Marketing
7 references·0 citing·27 second hop
Ethical Challenges and Managerial Implications of Artificial Intelligence in Digital Marketing (2024)Ethical Challenges and Managerial Implica…Artificial Intelligence: In Banking A Mini-Review (2020)Artificial Intelligence: In B…The global landscape of AI ethics guidelines (2019)The global landscape of AI et…Principles alone cannot guarantee ethical AI (2019)Principles alone cannot guara…Examining government cross-platform engagement in social media: Instagram vs Twitter and the big lift project (2018)Examining government cross-pl…AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)AI4People—An Ethical Framewor…Semantics derived automatically from language corpora contain human-like biases (2017)Semantics derived automatical…The ethics of algorithms: Mapping the debate (2016)The ethics of algorithms: Map…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)Setting the future of digital and social media marketing research: Perspectives and research propositions (2020)Building dialogic relationships through the world wide web (1998)Social Media Use in Organizations: Exploring the Affordances of Visibility, Editability, Persistence, and Association (2013)Consumer Brand Engagement in Social Media: Conceptualization, Scale Development and Validation (2014)Misinformation on Instagram: The Impact of Trusted Endorsements on Message Credibility (2020)Adaptation and Dissemination of a National Cancer Institute HPV Vaccine Evidence-Based Cancer Control Program to the Social Media Messaging Environment (2022)Collaborative authoritarianism and its unintended consequences (2024)Measuring individual differences in implicit cognition: The implicit association test. (1998)Fairness through awareness (2012)Big Data's Disparate Impact (2014)Dissecting racial bias in an algorithm used to manage the health of populations (2019)A Survey on Bias and Fairness in Machine Learning (2021)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)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)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)Ethics of AI in Education: Towards a Community-Wide Framework (2021)Ethical Decision Making by Individuals in Organizations: An Issue-Contingent Model (1991)Artificial Intelligence, Values, and Alignment (2020)Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda (2022)On the Opportunities and Risks of Foundation Models (2021)Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy (2023)
this work references cited by second hop

References

  • 2019The global landscape of AI ethics guidelines6,172 cited
  • 2018AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations4,732 cited
  • 2016The ethics of algorithms: Mapping the debate3,541 cited
  • 2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
  • 2019Principles alone cannot guarantee ethical AI1,869 cited
  • 2018Examining government cross-platform engagement in social media: Instagram vs Twitter and the big lift project69 cited
  • 2020Artificial Intelligence: In Banking A Mini-Review22 cited

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