References

AI Team, IBM Data &. 2023. “AI Vs. Machine Learning Vs. Deep Learning Vs. Neural Networks: What’s the Difference?” https://www.ibm.com/blog/ai-vs-machine-learning-vs-deep-learning-vs-neural-networks/.
Andreotta, Adam J., Nin Kirkham, and Marco Rizzi. 2022. AI, Big Data, and the Future of Consent.” AI & SOCIETY 37 (4): 1715–28. https://doi.org/10.1007/s00146-021-01262-5.
Arnold, Carrie. 2022. “How Biased Data and Algorithms Can Harm Health Hopkins Bloomberg Public Health Magazine.” https://magazine.jhsph.edu/2022/how-biased-data-and-algorithms-can-harm-health.
Association, American Medical. 2023. “AMA Issues New Principles for AI Development, Deployment & Use.” American Medical Association. https://www.ama-assn.org/press-center/press-releases/ama-issues-new-principles-ai-development-deployment-use.
Baker, Ryan S., and Aaron Hawn. 2022. “Algorithmic Bias in Education.” International Journal of Artificial Intelligence in Education 32 (4): 1052–92. https://doi.org/10.1007/s40593-021-00285-9.
Bansal, Varsha. 2022. “Uber’s Facial Recognition Is Locking Indian Drivers Out of Their Accounts.” MIT Technology Review. https://www.technologyreview.com/2022/12/06/1064287/ubers-facial-recognition-is-locking-indian-drivers-out-of-their-accounts/.
Belenguer, Lorenzo. 2022. AI Bias: Exploring Discriminatory Algorithmic Decision-Making Models and the Application of Possible Machine-Centric Solutions Adapted from the Pharmaceutical Industry.” Ai and Ethics 2 (4): 771–87. https://doi.org/10.1007/s43681-022-00138-8.
Bellaiche, Lucas, Rohin Shahi, Martin Harry Turpin, Anya Ragnhildstveit, Shawn Sprockett, Nathaniel Barr, Alexander Christensen, and Paul Seli. 2023. “Humans Versus AI: Whether and Why We Prefer Human-Created Compared to AI-Created Artwork.” Cognitive Research: Principles and Implications 8 (1): 42. https://doi.org/10.1186/s41235-023-00499-6.
Bender, Emily M., Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021. “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?” In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 610–23. FAccT ’21. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3442188.3445922.
Brittain, Blake, and Blake Brittain. 2023. “More Writers Sue OpenAI for Copyright Infringement over AI Training.” Reuters, September. https://www.reuters.com/technology/more-writers-sue-openai-copyright-infringement-over-ai-training-2023-09-11/.
Castaño Fernández, Joel. 2023. “A Greenability Evaluation Sheet for AI-Based Systems.” Bachelor thesis, Universitat Politècnica de Catalunya. https://upcommons.upc.edu/handle/2117/393798.
CDC. 2023. “Melanoma of the Skin Statistics.” https://www.cdc.gov/cancer/skin/statistics/index.htm.
Chaaya, Karam Bou. 2021. “Privacy Management in Connected Environments.” PhD thesis, Université de Pau et des Pays de l’Adour. https://theses.hal.science/tel-03446023.
Cote, Catherine. 2022. “7 DATA COLLECTION METHODS IN BUSINESS ANALYTICS.” https://online.hbs.edu/blog/post/data-collection-methods.
Cowls, Josh, Andreas Tsamados, Mariarosaria Taddeo, and Luciano Floridi. 2023. “The AI Gambit: Leveraging Artificial Intelligence to Combat Climate Change—Opportunities, Challenges, and Recommendations.” AI & SOCIETY 38 (1): 283–307. https://doi.org/10.1007/s00146-021-01294-x.
Dastin, Jeffrey. 2018. “Insight - Amazon Scraps Secret AI Recruiting Tool That Showed Bias Against Women.” Reuters, October. https://www.reuters.com/article/idUSKCN1MK0AG/.
Donahue, E. 2023. “AI Should Revolutionize Teaching, but Not in the Way You Think.” 2023. https://blog.mississippi.ai/ai-should-revolutionize-teaching-but-not-in-the-way-you-think.
Elefant, Carolyn. 2023. “Can Lawyers Legally and Ethically Record Conversations With Clients Using Artificial Intelligence?” My Shingle. https://myshingle.com/2023/07/articles/artificial-intelligence/can-lawyers-legally-and-ethically-record-conversations-with-clients-using-artificial-intelligence/.
Federal Reserve Bank of St. Louis. 2023. “Monetary Policy and Economic Performance Since the Global Financial Crisis.” 2023-015. Working Paper Series. https://research.stlouisfed.org/wp/more/2023-015.
Fogel, David B. 2022. “Defining Artificial Intelligence.” Machine Learning and the City: Applications in Architecture and Urban Design, 91–120.
Gangarapu, Katam Raju. 2022. “Ethics of Facial Recognition: Key Issues and Solutions.” https://learn.g2.com/ethics-of-facial-recognition.
Gichoya, Judy Wawira, Imon Banerjee, Ananth Reddy Bhimireddy, John L. Burns, Leo Anthony Celi, Li-Ching Chen, Ramon Correa, et al. 2022. AI Recognition of Patient Race in Medical Imaging: A Modelling Study.” The Lancet Digital Health 4 (6): e406–14. https://doi.org/10.1016/S2589-7500(22)00063-2.
Giorgini, Vincent, Jensen T. Mecca, Carter Gibson, Kelsey Medeiros, Michael D. Mumford, Shane Connelly, and Lynn D. Devenport. 2015. “Researcher Perceptions of Ethical Guidelines and Codes of Conduct.” Accountability in Research 22 (3): 123–38. https://doi.org/10.1080/08989621.2014.955607.
Granulo, Armin, Christoph Fuchs, and Stefano Puntoni. 2021. “Preference for Human (Vs. Robotic) Labor Is Stronger in Symbolic Consumption Contexts.” Journal of Consumer Psychology 31 (1): 72–80. https://doi.org/10.1002/jcpy.1181.
Gu, Xinxing. 2023. “New Features Make Translate More Accessible for Its 1 Billion Users.” https://blog.google/products/translate/new-features-make-translate-more-accessible-for-its-1-billion-users/.
Habib, Anand R., and Cary P. Gross. 2023. FDA Regulations of AI-Driven Clinical Decision Support Devices Fall Short.” JAMA Internal Medicine 183 (12): 1401–2. https://doi.org/10.1001/jamainternmed.2023.5006.
Hamzelou, Jessica. n.d. “Artificial Intelligence Is Infiltrating Health Care. We Shouldn’t Let It Make All the Decisions.” MIT Technology Review. Accessed May 8, 2023. https://www.technologyreview.com/2023/04/21/1071921/ai-is-infiltrating-health-care-we-shouldnt-let-it-make-decisions/.
Hao, Karen. 2021. “Deleting Unethical Data Sets Isn’t Good Enough.” MIT Technology Review. https://www.technologyreview.com/2021/08/13/1031836/ai-ethics-responsible-data-stewardship/.
Huang, Jonathan, Galal Galal, Mozziyar Etemadi, and Mahesh Vaidyanathan. 2022. “Evaluation and Mitigation of Racial Bias in Clinical Machine Learning Models: Scoping Review.” JMIR Medical Informatics 10 (5). https://doi.org/10.2196/36388.
Huang, K. 2023. “Alarmed by a.i. Chatbots, Universities Start Revamping How They Teach.” 2023. https://www.nytimes.com/2023/01/16/technology/chatgpt-artificial-intelligence-universities.html.
Hulick, Kathryn. 2021. “Training AI to Be Really Smart Poses Risks to Climate.” https://www.snexplores.org/article/training-ai-energy-emissions-climate-risk.
Jansen, Fieke, Merve Gulmez, Becky Kazansky, Narmine Abou Bakari, Claire Fernandez, Harriet Kingaby, and Jan Tobias Mühlberg. 2023. “The Climate Crisis Is a Digital Rights Crisis: Exploring the Civil-Society Framing of Two Intersecting Disasters.” In Ninth Computing Within Limits 2023. Virtual: LIMITS. https://doi.org/10.21428/bf6fb269.b4704652.
Karras, Tero, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila. 2020. “Analyzing and Improving the Image Quality of Stylegan.” In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 8110–19.
Kingma, Diederik P, and Max Welling. 2013. “Auto-Encoding Variational Bayes.” arXiv Preprint arXiv:1312.6114.
Kowaleski, Zachary T., Andrew Sutherland, and Felix Vetter. 2019. “Can Ethics Be Taught? Evidence from Securities Exams and Investment Adviser Misconduct.” {SSRN} {Scholarly} {Paper}. Rochester, NY. https://doi.org/10.2139/ssrn.3457588.
Latar, Noam. 2015. “The Robot Journalist in the Age of Social Physics: The End of Human Journalism?” In, 65–80. https://doi.org/10.1007/978-3-319-09009-2_6.
Leek, Jeffrey T, and Divya Narayanan. 2017. “Demystifying Artificial Intelligence.” https://leanpub.com/demystifyai.
Marino, Giacomo B, Nasheath Ahmed, Zhuorui Xie, Kathleen M Jagodnik, Jason Han, Daniel JB Clarke, Alexander Lachmann, Mark P Keller, Alan D Attie, and Avi Ma’ayan. 2023. “D2h2: Diabetes Data and Hypothesis Hub.” Bioinformatics Advances 3 (1).
Mattson, Mark P. 2014. “Superior Pattern Processing Is the Essence of the Evolved Human Brain.” Frontiers in Neuroscience 8. https://doi.org/10.3389/fnins.2014.00265.
Melarkode, Navneet, Kathiravan Srinivasan, Saeed Mian Qaisar, and Pawel Plawiak. 2023. “AI-Powered Diagnosis of Skin Cancer: A Contemporary Review, Open Challenges and Future Research Directions.” Cancers 15 (4): 1183.
Moufakkir, M. 2023. “Understanding and Guiding Artificial Intelligence in Central Banking.” European Central Bank Blog. 2023. https://www.ecb.europa.eu/press/blog/date/2023/html/ecb.blog230928~3f76d57cce.en.html.
Nelson, E. 2023. “European Central Bank Moves Toward Embracing Artificial Intelligence.” The New York Times. https://www.nytimes.com/2023/09/28/business/european-central-bank-artificial-intelligence.html.
News, Industry. 2023. “AMA Issues New Principles for AI Development, Deployment &Amp; Use.” HealthcareNOWradio.com. https://www.healthcarenowradio.com/ama-issues-new-principles-for-ai-development-deployment-use/#:~:text=Key%20concepts%20outlined%20by%20the,governance%20of%20health%20care%20AI.
Nigro, Pam. 2023. AI Security Risks: Separating Hype from Reality Security Magazine.” https://www.securitymagazine.com/articles/100219-ai-security-risks-separating-hype-from-reality.
Nikulski, Julia. 2021. “Toxicity in AI Text Generation.” Medium. https://towardsdatascience.com/toxicity-in-ai-text-generation-9e9d9646e68f.
ODSC. 2023. “Origins of Generative AI and Natural Language Processing with ChatGPT.” https://opendatascience.com/origins-of-generative-ai-and-natural-language-processing-with-chatgpt/.
OMFIF. 2023. “How Central Banks Are Already Deploying Artificial Intelligence.” 2023. https://www.omfif.org/2023/09/how-central-banks-are-already-deploying-artificial-intelligence/.
Paul, Amy K, and Merrick Schaefer. 2020. “Safeguards for the Use of Artificial Intelligence and Machine Learning in Global Health.” Bulletin of the World Health Organization 98 (4): 282–84. https://doi.org/10.2471/BLT.19.237099.
Pearce, Guy. 2021. “Beware the Privacy Violations in Artificial Intelligence Applications.” ISACA. https://www.isaca.org/resources/news-and-trends/isaca-now-blog/2021/beware-the-privacy-violations-in-artificial-intelligence-applications.
Pethig, Florian, and Julia Kroenung. 2023. “Biased Humans, (Un)Biased Algorithms?” Journal of Business Ethics 183 (3): 637–52. https://doi.org/10.1007/s10551-022-05071-8.
Pierson, Emma, David M. Cutler, Jure Leskovec, Sendhil Mullainathan, and Ziad Obermeyer. 2021. “An Algorithmic Approach to Reducing Unexplained Pain Disparities in Underserved Populations.” Nature Medicine 27 (1): 136–40. https://doi.org/10.1038/s41591-020-01192-7.
Puyol-Anton, Esther, Bram Ruijsink, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Reza Razavi, and Andrew P. King. 2021. “Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation.” arXiv. https://doi.org/10.48550/arXiv.2106.12387.
Ricci Lara, María Agustina, Rodrigo Echeveste, and Enzo Ferrante. 2022. “Addressing Fairness in Artificial Intelligence for Medical Imaging.” Nature Communications 13 (1): 4581. https://doi.org/10.1038/s41467-022-32186-3.
Roberts, M. 2023. “AI Is Forcing Teachers to Confront an Existential Question.” The Washington Post. https://www.washingtonpost.com/opinions/2023/12/12/ai-chatgpt-universities-learning/.
Selenko, Eva, Sarah Bankins, Mindy Shoss, Joel Warburton, and Simon Lloyd D. Restubog. 2022. “Artificial Intelligence and the Future of Work: A Functional-Identity Perspective.” Current Directions in Psychological Science 31 (3): 272–79. https://doi.org/10.1177/09637214221091823.
Seyyed-Kalantari, Laleh, Haoran Zhang, Matthew B. A. McDermott, Irene Y. Chen, and Marzyeh Ghassemi. 2021. “Underdiagnosis Bias of Artificial Intelligence Algorithms Applied to Chest Radiographs in Under-Served Patient Populations.” Nature Medicine 27 (12): 2176–82. https://doi.org/10.1038/s41591-021-01595-0.
Shah, Nigam H., David Entwistle, and Michael A. Pfeffer. 2023. Creation and Adoption of Large Language Models in Medicine.” JAMA 330 (9): 866–69. https://doi.org/10.1001/jama.2023.14217.
Singer, N. 2023a. “At This School, Computer Science Class Now Includes Critiquing Chatbots.” 2023. https://www.nytimes.com/2023/02/06/technology/chatgpt-schools-teachers-ai-ethics.html.
———. 2023b. “Despite Cheating Fears, Schools Repeal ChatGPT Bans.” 2023. https://www.nytimes.com/2023/08/24/business/schools-chatgpt-chatbot-bans.html.
Sinz, Fabian H., Xaq Pitkow, Jacob Reimer, Matthias Bethge, and Andreas S. Tolias. 2019. “Engineering a Less Artificial Intelligence.” Neuron 103 (6): 967–79. https://doi.org/10.1016/j.neuron.2019.08.034.
Tay, Yi, Mostafa Dehghani, Dara Bahri, and Donald Metzler. 2022. “Efficient Transformers: A Survey.” https://arxiv.org/abs/2009.06732.
Terry, O. 2023. “I’m a Student: You Have No Idea How Much We’re Using ChatGPT.” The Chronicle of Higher Education. https://www.chronicle.com/article/im-a-student-you-have-no-idea-how-much-were-using-chatgpt.
“The First Principles Guiding Our Work with AI.” n.d. Bill & Melinda Gates Foundation. Accessed December 15, 2023. https://www.gatesfoundation.org/ideas/articles/artificial-intelligence-ai-development-principles.
“Training, Validation, and Test Data Sets.” 2023. Wikipedia. https://en.wikipedia.org/w/index.php?title=Training,_validation,_and_test_data_sets&oldid=1188399008.
Tucker, Catherine. 2018. “Privacy, Algorithms, and Artificial Intelligence.” NBER Chapters, 423–37. https://ideas.repec.org//h/nbr/nberch/14011.html.
Turchin, Alexander, and Luisa F Florez Builes. 2021. “Using Natural Language Processing to Measure and Improve Quality of Diabetes Care: A Systematic Review.” Journal of Diabetes Science and Technology 15 (3): 553–60.
Turner, Karen. 2016. “Google Translate Is Getting Really, Really Accurate.” The Washington Post. https://www.washingtonpost.com/news/innovations/wp/2016/10/03/google-translate-is-getting-really-really-accurate/.
Van Noorden, Richard. 2020. “The Ethical Questions That Haunt Facial-Recognition Research.” Nature 587 (7834): 354–58. https://doi.org/10.1038/d41586-020-03187-3.
Vaswani, Ashish, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017. “Attention Is All You Need.” Advances in Neural Information Processing Systems 30.
Walsh, Dylan. 2023. “The Legal Issues Presented by Generative AI.” https://mitsloan.mit.edu/ideas-made-to-matter/legal-issues-presented-generative-ai.
Wikipedia. 2023a. “Amazon Echo.” https://en.wikipedia.org/wiki/Amazon_Echo.
———. 2023b. “Natural Language Processing.” https://en.wikipedia.org/wiki/Natural_language_processing#History.
Yang, Ling, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Wentao Zhang, Bin Cui, and Ming-Hsuan Yang. 2023. “Diffusion Models: A Comprehensive Survey of Methods and Applications.” ACM Comput. Surv. 56 (4). https://doi.org/10.1145/3626235.
Yglesias, Matthew. 2023. “ChatGPT Goes to Harvard.” 2023. https://www.slowboring.com/p/chatgpt-goes-to-harvard.
Zoom. 2023. “Zoom’s Smart AI Assistant Empowers You.” https://www.zoom.com/en/ai-assistant/.