Every reference with a DOI in the deposited reference list resolved to a known
work in Crossref or DataCite at the dated check, and none carried a retraction,
withdrawal, or removal notice.
The 73 checked references that resolve
resolves10.21606/drs.2020.282Human-centered AI: The role of Human-centered Design Research in the development of AI
resolves10.1145/3461702.3462571Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
resolves10.1111/epi.17570Are <scp>AI</scp> language models such as <scp>ChatGPT</scp> ready to improve the care of individuals with epilepsy?
resolves10.1080/00913367.2021.1909515Preparing for an Era of Deepfakes and AI-Generated Ads: A Framework for Understanding Responses to Manipulated Advertising
resolves10.17705/1thci.00138Exploring the Intersection of the Digital Divide and Artificial Intelligence: A Hermeneutic Literature Review
resolves10.1007/s10916-023-01925-4Evaluating the Feasibility of ChatGPT in Healthcare: An Analysis of Multiple Clinical and Research Scenarios
resolves10.1515/ijld-2023-2001From principles to practices: the intertextual interaction between AI ethical and legal discourses
resolves10.1007/s10956-023-10039-yExamining Science Education in ChatGPT: An Exploratory Study of Generative Artificial Intelligence
resolves10.1002/job.2695Awe‐inspiring advancements in AI: The impact of ChatGPT on the field of Organizational Behavior
resolves10.1016/j.ijinfomgt.2023.102642Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy
resolves10.33546/bnj.2551Exploring the future of nursing: Insights from the ChatGPT model
resolves10.1109/JAS.2023.123555Can ChatGPT Boost Artistic Creation: The Need of Imaginative Intelligence for Parallel Art
resolves10.1002/hyp.14843<scp>AI</scp> tools such as <scp>ChatGPT</scp> will disrupt hydrology, too
resolves10.4018/JDM.2019040104Artificial Intelligence, Machine Learning, and Autonomous Technologies in Mining Industry
resolves10.1145/3571730Survey of Hallucination in Natural Language Generation
resolves10.1016/j.bushor.2018.08.004Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence
resolves10.1016/j.chb.2020.106553Artificial intelligence versus Maya Angelou: Experimental evidence that people cannot differentiate AI-generated from human-written poetry
resolves10.1371/journal.pdig.0000198Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models
resolves10.1002/widm.1356Bias in data‐driven artificial intelligence systems—An introductory survey
resolves10.1177/00081256221094307“Digital Colonization” of Highly Regulated Industries: An Analysis of Big Tech Platforms’ Entry into Health Care and Education
resolves10.1177/10776958221149577Collaborating With ChatGPT: Considering the Implications of Generative Artificial Intelligence for Journalism and Media Education
resolves10.1145/3527927.3532792Initial Images: Using Image Prompts to Improve Subject Representation in Multimodal AI Generated Art
resolves10.1002/hbe2.117Human‐centered artificial intelligence and machine learning
resolves10.1038/s42256-019-0048-xStop explaining black box machine learning models for high stakes decisions and use interpretable models instead
resolves10.3390/healthcare11060887ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns
resolves10.1016/j.tele.2017.07.007Determinants of Internet skills, uses and outcomes. A systematic review of the second- and third-level digital divide
resolves10.1145/3490099.3511119Investigating Explainability of Generative AI for Code through Scenario-based Design
resolves10.1287/isre.2023.ed.v34.n2The Janus Effect of Generative AI: Charting the Path for Responsible Conduct of Scholarly Activities in Information Systems
resolves10.1111/rego.12392Assessing the regulatory challenges of emerging disruptive technologies
resolves10.4018/JDM.2019010104Artificial Intelligence, Machine Learning, Automation, Robotics, Future of Work and Future of Humanity
resolves10.1145/365153.365168ELIZA—a computer program for the study of natural language communication between man and machine
resolves10.1080/10447318.2022.2041900Transitioning to Human Interaction with AI Systems: New Challenges and Opportunities for HCI Professionals to Enable Human-Centered AI
resolves10.2139/ssrn.4350925Economics of ChatGPT: A Labor Market View on the Occupational Impact of Artificial Intelligence
resolves10.17705/1thci.00149Intelligence Augmentation: Towards Building Human- machine Symbiotic Relationship
resolves10.17705/1thci.00085From Artificial Intelligence (AI) to Intelligence Augmentation (IA): Design Principles, Potential Risks, and Emerging Issues
The 41 references without a DOI — listed, not checked
no DOI — not checkedcit0001
no DOI — not checkedcit0005
no DOI — not checkedcit0009
no DOI — not checkedcit0010
no DOI — not checkedBrundage, M., Avin, S., Wang, J., Belfield, H., Krueger, G., Hadfield, G., Khlaaf, H., Yang, J., Toner, H., Fong, R., Maharaj, T., Koh, P., Hooker, S., Leung, J., Trask, A., Bluemke, E., Lebensold, J., O'Keefe, C., Koren, M. … Anderljung, M. (2020). Toward trustworthy AI development: Mechanisms for supporting verifiable claims. https://doi.org/10.48550/arXiv.2004.07213
no DOI — not checkedBullock, J. & Luengo-Oroz, M. (2019). Automated speech generation from UN general assembly statements: Mapping risks in AI generated texts. https://doi.org/10.48550/arXiv.1906.01946
no DOI — not checkedcit0017
no DOI — not checkedChui, M., Roberts, R. & Yee, L. (2022, December 20). Generative AI is Here: How Tools Like ChatGpt Could Change Your Business. Quantum Black AI by McKinsey. https://www.mckinsey.com/capabilities/quantumblack/our-insights/generative-ai-is-here-how-tools-like-chatgpt-could-change-your-business#/
no DOI — not checkedcit0024
no DOI — not checkedFieser, J. (n.d.). Ethics. Internet Encyclopedia of Philosophy. Retrieved May 17, 2023, from https://web.archive.org/web/20180119084940/http://www.iep.utm.edu/ethics
no DOI — not checkedcit0029
no DOI — not checkedcit0030
no DOI — not checkedcit0033
no DOI — not checkedGonzalez, W. (2023, April 25). How businesses can help reduce bias in AI. Forbes. Available at https://www.forbes.com/sites/forbesbusinesscouncil/2023/04/25/how-businesses-can-help-reduce-bias-in-ai/.
no DOI — not checkedGozalo-Brizuela, R. & Garrido-Merchan, E. C. (2023). ChatGPT is not all you need. A state of the art review of large generative AI models. https://doi.org/10.48550/arXiv.2301.04655
no DOI — not checkedcit0042
no DOI — not checkedcit0044
no DOI — not checkedKroll, J. A. (2015). Accountable Algorithms (Doctoral dissertation, Princeton University).
no DOI — not checkedLuo, G., Zhou, Y., Ren, T., Chen, S., Sun, X. & Ji, R. (2023). Cheap and quick: Efficient vision-language instruction tuning for large language models. https://doi.org/10.48550/arXiv.2305.15023
no DOI — not checkedExperiences in visual thinking
no DOI — not checkedHuman-in-the-loop machine learning
no DOI — not checkedcit0060
no DOI — not checkedProceedings of the International Conference on Information Processing
no DOI — not checkedPorter, J. (2023, March 21). ChatGpt Bug Temporarily Exposes AI Chat Histories to Other Users. The Verge. https://www.theverge.com/2023/3/21/23649806/chatgpt-chat-histories-bug-exposed-disabled-outage
no DOI — not checkedcit0072
no DOI — not checkedcit0073
no DOI — not checkedProceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics
no DOI — not checkedcit0081
no DOI — not checkedcit0082
no DOI — not checkedParallel distributed processing
no DOI — not checkedStancati, M. & Schechner, S. (2023, March 31). ChatGPT banned in Italy over data-privacy concerns. The Wall Street Journal. Available at https://www.wsj.com/articles/chatgpt-banned-in-italy-over-data-privacy-concerns-4b984e75.
no DOI — not checkedSusnjak, T. (2022). ChatGPT: The end of online exam integrity? https://doi.org/10.48550/arXiv.2212.09292
no DOI — not checkedcit0089
no DOI — not checkedTurnitin. (n.d.) Turnitin’s AI Writing Detection Capabilities. Retrieved April 10, 2023, from https://www.turnitin.com/products/features/ai-writing-detection
no DOI — not checkedUniversity of Cambridge. (n.d.). Plagiarism and Academic Misconduct. Retrieved April 10, 2023 at https://www.plagiarism.admin.cam.ac.uk/what-academic-misconduct/artificial-intelligence
no DOI — not checkedUniversity of Oxford. (2023, January 30). Four Lessons from ChatGpt: Challenges and Opportunities for Educators. https://www.ctl.ox.ac.uk/article/four-lessons-from-chatgpt-challenges-and-opportunities-for-educators#Lesson3
no DOI — not checkedU.S. Copyright Office. (n.d.). What is Copyright? Retrieved May 17, 2023, from https://www.copyright.gov/what-is-copyright/
no DOI — not checkedcit0099
no DOI — not checkedWeidinger, L., Mellor, J., Rauh, M., Griffin, C., Uesato, J., Huang, P. S. &Gabriel, I. (2021). Ethical and social risks of harm from language models. https://doi.org/10.48550/arXiv.2112.04359
no DOI — not checkedWoolf, M. (2022, December 8). ChatGPT passes the turing test. Metaverse Post. https://mpost.io/chatgpt-passes-the-turing-test/
no DOI — not checkedZhuo, T. Y., Huang, Y., Chen, C. & Xing, Z. (2023). Exploring AI ethics of ChatGPT: A diagnostic analysis. https://doi.org/10.48550/arXiv.2301.12867
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