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Emerging challenges in AI and the need for AI ethics education
3 references·16 citing·52 second hopsampled
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(2009)Principles alone cannot guarantee ethical AI (2019)Big Data's Disparate Impact (2014)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Semantics derived automatically from language corpora contain human-like biases (2017)Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence (2020)Addressing bias in big data and AI for health care: A call for open science (2021)Experimental evidence of massive-scale emotional contagion through social networks (2014)AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)Ethical principles for artificial intelligence in education (2022)Determining Sample Size for Research Activities (1970)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)PLS-SEM: Indeed a Silver Bullet (2011)Ethical dimensions of algorithmic literacy for college students: Case studies and cross-disciplinary connections (2024)Assessment of AI ethical reflection: the development and validation of the AI ethical reflection scale (AIERS) for university students (2025)Towards responsible artificial intelligence in education: a systematic review on identifying and mitigating ethical risks (2025)I.—COMPUTING MACHINERY AND INTELLIGENCE (1950)Artificial Intelligence (AI) Deployments in Africa: Benefits, Challenges and Policy Dimensions (2020)Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda (2020)Decolonizing global AI governance: assessment of the state of decolonized AI governance in Sub-Saharan Africa (2024)Navigating algorithm bias in AI: ensuring fairness and trust in Africa (2024)The impact of artificial intelligence on organizational performance: The mediating role of employee productivity (2025)Algorithmic Bias in Education (2021)Ethics of AI in Education: Towards a Community-Wide Framework (2021)AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications (2023)Using large language models to generate silicon samples in consumer and marketing research: Challenges, opportunities, and guidelines (2024)Investigating L2 writers' critical AI literacy in AI-assisted writing: An APSE model (2025)The role of artificial intelligence in achieving the Sustainable Development Goals (2020)Trustworthy AI: From Principles to Practices (2022)Trustworthy Artificial Intelligence: A Review (2022)Learning about Responsible AI On-The-Job: Learning Pathways, Orientations, and Aspirations (2024)Exploring the impact of responsible AI usage on users’ behavioral intentions (2025)Fostering responsible AI literacy: A systematic review of K-12 AI ethics education (2025)Ethical leadership: A review and future directions (2006)The ethics of algorithms: Mapping the debate (2016)Ethical decision-making in IT governance: A review of models and frameworks (2023)Artificial intelligence ethics in services: are we paying attention to that?! (2024)Responsible AI in Marketing: AI Booing and AI Washing Cycle of AI Mistrust (2025)Mind in Society: The Development of Higher Psychological Processes (1978)Intrinsic Motivation and Self-Determination in Human Behavior (1985)Self-efficacy: the exercise of control (1997)Metacognitive Awareness and EFL Learners' Perceptions and Experiences in Utilising ChatGPT for Writing Feedback (2024)Enhancing EFL writing with visualised GenAI feedback: A cognitive affective theory of learning perspective on revision quality, emotional response, and human-computer interaction (2025)Incorporating ChatGPT for EFL Writing and Its Effects on Writing Engagement (2025)Absorptive Capacity: A New Perspective on Learning and Innovation (1990)Absorptive Capacity: A Review, Reconceptualization, and Extension (2002)ESG and financial performance: aggregated evidence from more than 2000 empirical studies (2015)Artificial intelligence and corporate investment efficiency: Evidence from China (2025)Artificial Intelligence and Green Collaborative Innovation: An Empirical Investigation Based on a High-Dimensional Fixed Effects Model (2025)Artificial intelligence applications and corporate ESG performance (2025)
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References

  • 2019Dissecting racial bias in an algorithm used to manage the health of populations7,086 cited
  • 2019The global landscape of AI ethics guidelines6,172 cited
  • 2020The Ethics of AI Ethics: An Evaluation of Guidelines1,900 cited

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