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AI Literacy
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AI Literacy (2024)AI LiteracyManaging extreme AI risks amid rapid progress (2024)Managing extreme AI risks ami…Considerations for addressing bias in artificial intelligence for health equity (2023)Considerations for addressing…Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)Connecting the dots in trustw…Ethical principles for artificial intelligence in education (2022)Ethical principles for artifi…The demand for AI skills in the labor market (2021)The demand for AI skills in t…Socially Responsible AI Algorithms: Issues, Purposes, and Challenges (2021)Socially Responsible AI Algor…Productive employment and decent work: The impact of AI adoption on psychological contracts, job engagement and employee trust (2020)Productive employment and dec…How Technology is Changing Retail (2020)How Technology is Changing Re…Emerging challenges in AI and the need for AI ethics education (2020)Emerging challenges in AI and…Close Encounters of the AI Kind: Use of AI Influencers As Brand Endorsers (2020)Close Encounters of the AI Ki…Algorithmic bias: on the implicit biases of social technology (2020)Algorithmic bias: on the impl…The rising tide of artificial intelligence and business automation: Developing an ethical framework (2018)The rising tide of artificial…A Layered Model for AI Governance (2017)A Layered Model for AI Govern…What is data ethics? (2016)What is data ethics?The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market (2013)The Growth of Low-Skill Servi…Human-Automation Interaction (2005)Human-Automation InteractionThe magical number seven, plus or minus two: Some limits on our capacity for processing information. (1956)Human Error (1990)Trust in Automation: Designing for Appropriate Reliance (2004)A Meta-Analysis of Factors Affecting Trust in Human-Robot Interaction (2011)Working with Machines (2015)Artificial intelligence: Implications for the future of work (2019)The Data Revolution: Big Data, Open Data, Data Infrastructures & Their Consequences (2014)Stanford Encyclopedia of Philosophy (2015)European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (2017)Governing artificial intelligence: ethical, legal and technical opportunities and challenges (2018)From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices (2019)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Regulating Artificial Intelligence Systems: Risks, Challenges, Competencies, and Strategies (2015)Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation (2016)Society-in-the-loop: programming the algorithmic social contract (2017)Artificial Intelligence and the Public Sector—Applications and Challenges (2018)Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda (2021)Responsible artificial intelligence governance: A review and research framework (2025)Exchange and Power in Social Life. (1965)The Commitment-Trust Theory of Relationship Marketing (1994)Exchange and Power in Social Life (2017)Unlocking the value of artificial intelligence in human resource management through AI capability framework (2022)Revolutionizing education: Artificial intelligence empowered learning in higher education (2023)Worker and workplace Artificial Intelligence (AI) coexistence: Emerging themes and research agenda (2023)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)Artificial intelligence in education: Addressing ethical challenges in K-12 settings (2021)New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution (2023)Conceptualizing, Measuring, and Managing Customer-Based Brand Equity (1993)A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)How artificial intelligence will change the future of marketing (2019)Artificial empathy in marketing interactions: Bridging the human-AI gap in affective and social customer experience (2022)Authentically Fake? How Consumers Respond to the Influence of Virtual Influencers (2022)Unreal influence: leveraging AI in influencer marketing (2022)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Diffusion of innovations (2003)Diffusion of Innovations 1 (2019)Strategizing Retailing in the New Technology Era (2021)The Fifth Industrial Revolution: How Harmonious Human–Machine Collaboration is Triggering a Retail and Service [R]evolution (2022)Factors affecting performance expectancy and intentions to use ChatGPT: Using SmartPLS to advance an information technology acceptance framework (2024)Increasing Returns and Economic Geography (1990)Changes in Relative Wages, 1963-1987: Supply and Demand Factors (1992)The Skill Content of Recent Technological Change: An Empirical Exploration (2003)The China Syndrome: Local Labor Market Effects of Import Competition in the United States (2013)Why Are There Still So Many Jobs? The History and Future of Workplace Automation (2015)The future of employment: How susceptible are jobs to computerisation? (2016)The "What" and "Why" of Goal Pursuits: Human Needs and the Self-Determination of Behavior (2000)Thematic analysis. (2012)AI ‐driven adaptive learning for sustainable educational transformation (2024)Embracing the future of Artificial Intelligence in the classroom: the relevance of AI literacy, prompt engineering, and critical thinking in modern education (2024)Big Data's Disparate Impact (2014)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)A Survey on Bias and Fairness in Machine Learning (2021)AI Governance in a Complex and Rapidly Changing Regulatory Landscape: A Global Perspective (2024)Global Regulatory Frameworks for the Use of Artificial Intelligence (AI) in the Healthcare Services Sector (2024)Leveraging generative AI for urban digital twins: a scoping review on the autonomous generation of urban data, scenarios, designs, and 3D city models for smart city advancement (2024)
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References

  • 2013The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market4,002 cited
  • 2022Ethical principles for artificial intelligence in education1,617 cited
  • 2023Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation918 cited
  • 2020Emerging challenges in AI and the need for AI ethics education711 cited
  • 2016What is data ethics?693 cited
  • 2020Close Encounters of the AI Kind: Use of AI Influencers As Brand Endorsers584 cited
  • 2020How Technology is Changing Retail554 cited
  • 2020Productive employment and decent work: The impact of AI adoption on psychological contracts, job engagement and employee trust481 cited
  • 2005Human-Automation Interaction479 cited
  • 2017A Layered Model for AI Governance460 cited
  • 2021The demand for AI skills in the labor market429 cited
  • 2024Managing extreme AI risks amid rapid progress424 cited
  • 2023Considerations for addressing bias in artificial intelligence for health equity360 cited
  • 2021Socially Responsible AI Algorithms: Issues, Purposes, and Challenges261 cited
  • 2018The rising tide of artificial intelligence and business automation: Developing an ethical framework

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246 cited
  • 2020Algorithmic bias: on the implicit biases of social technology234 cited
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