AI & Social Consciousness

Research Publications

Cameron, C. D., Wagner, A. R., Orlandi, M., Hadjiandreou, E., Oates, I. G., & Anderson, S. (2025). Empathy for and From Embodied Robots: An Interdisciplinary Review. Current Directions in Psychological Science, 09637214251392861.

Macko, D., Ramakrishnan, A. A., Lucas, J. S., Moro, R., Srba, I., Uchendu, A., & Lee, D. (2026). Beyond Speculation: Measuring the Growing Presence of Large Language Model-Generated Texts in Multilingual Disinformation. Computer, 59(2), 93-100.

Chen, H., & Zhang, Y. (2026). Mitigating aggression toward AVs in mixed traffic: Effects of automated driving styles and human driving styles. Transportation Research Part F: Traffic Psychology and Behaviour, 116, 103431.

Kumar, P. C., Cotter, K., & Cabrera, L. Y. (2024). Taking responsibility for meaning and mattering: An agential realist approach to generative AI and literacy. Reading Research Quarterly, 59(4), 570-578.

 

Cabrera, L. Y., Wagner, J., Gerke, S., & Susser, D. (2025). Tempered enthusiasm by interviewed experts for synthetic data and ELSI checklists for AI in medicine. AI and Ethics, 1-14.

Sherrill, A. M., Wiese, C. W., Abdullah, S., & Arriaga, R. I. (2025). Teaming with Artificial Intelligence to Learn and Sustain Psychotherapy Delivery Skills: Workplace, Ethical, and Research Implications. Journal of Technology in Behavioral Science, 1-9.  

Akgun, M., & Hosseini, H. (2025). AI Education in a Mirror: Challenges Faced by Academic and Industry Experts. arXiv preprint arXiv:2505.02856. 

Wang, X., Zhang, W., Koneru, S., Guo, H., Mingole, B., Sundar, S. S., Rajtmajer, S., & Yadav, A. (2025, April). Have LLMs Reopened the Pandora’s Box of AI-Generated Fake News?. In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) (pp. 2795-2811). 

Kumar, P. C., Cotter, K., & Cabrera, L. Y. (2024). Taking responsibility for meaning and mattering: An agential realist approach to generative AI and literacy. Reading Research Quarterly, 59(4), 570-578. 

Workman, D., & Dancy, C. L. (2023). Identifying potential inlets of man in the artificial intelligence development process: Man and antiblackness in AI development. In Companion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social Computing (pp. 348-353).

Inzlicht, M., Cameron, C. D., D’Cruz, J., & Bloom, P. (2024). In praise of empathic AI. Trends in Cognitive Sciences, 28(2), 89–91. 

Atkins, A. A., Brown, M. S., & Dancy, C. L. (2021). Examining the Effects of Race on Human-AI Cooperation. In R. Thomson, M. N. Hussain, C. Dancy, & A. Pyke (Eds.), Social, Cultural, and Behavioral Modeling (Vol. 12720, pp. 279–288). Springer International Publishing.  

Gomes, C., Dietterich, T., Barrett, C., Conrad, J., Dilkina, B., Ermon, S., Fang, F., Farnsworth, A., Fern, A., Fern, X., Fink, D., Fisher, D., Flecker, A., Freund, D., Fuller, A., Gregoire, J., Hopcroft, J., Kelling, S., Kolter, Z., Yadav, A., ... Zeeman, M. L. (2019). Computational sustainability: Computing for a better world and a sustainable future. Communications of the ACM, 62(9), 56–65. 

Kou, Y., & Gui, X. (2020). Mediating community-AI interaction through situated explanation: the case of AI-Led moderation. Proceedings of the ACM on Human-Computer Interaction, 4(CSCW2), 1-27. 

Taylor, R. D. (2020). Quantum Artificial Intelligence: A “precautionary” U.S. approach? Telecommunications Policy, 44(6), 101909.  

Medsker, L. R. (2026). AI Ethics & Policy Column: Top AI Ethics and Policy Issues of 2025 and What to Expect in 2026. AI Matters, 11(2), 18-29.

Coeckelbergh, M. (2026). Technofascism: AI, Big Tech, and the new authoritarianism. AI & SOCIETY, 1-14.

Ansari, B., & Sameer, A. (2026). The shifting locus of accountability: the discourse of young Indian adults (YIAs) on the environmental impact of artificial intelligence. AI & SOCIETY, 1-13.

Bokhari, S. A. A., Park, S. Y., & Manzoor, S. (2026). The future of AI in climate change mitigation: a critical perspective. Big Earth Data, 1-9.

Bashynska, I. (2026). Ethical aspects of AI use in the circular economy. AI & SOCIETY, 41(1), 575-593.

Sætra, H. S., & Rogerson, E. (2026). Four visions on the future of global governance, AI, and climate change. AI & SOCIETY, 1-16.

Cugurullo, F. (2026). The Eclipse of Reason in the Age of Artificial Intelligence: Why we are Failing to Cope with AI Development and Steer it Toward Sustainability. Philosophy & Technology, 39(2), 65.

Xiao, T., Nerini, F. F., Matthews, H. D., Tavoni, M., & You, F. (2025). Environmental impact and net-zero pathways for sustainable artificial intelligence servers in the USA. Nature Sustainability, 1-13.

Waelen, R., & van Wynsberghe, A. (2025). Considering the Social and Economic Sustainability of AI. Science and Engineering Ethics, 31(4), 19.

Zhou, H., Wang, L., Cao, Y., & Li, J. (2025). The impact of artificial intelligence on labor market: A study based on bibliometric analysis. Journal of Asian Economics, 98, 101926.

Brynjolfsson, E., Li, D., & Raymond, L. (2025). Generative AI at work. The Quarterly Journal of Economics, 140(2), 889-942.

Amore, G., & Gentili, A. (2025). AI and climate: an ethical sustainability framework for balancing risks and responsibilities. AI & SOCIETY, 1-11.

Dancy, C. L. (2024). How to use generative AI more responsibly. Nature Reviews Psychology, 3(8), 501-502. 

Holmes, S. A., Faria, V., & Moulton, E. A. (2025). Generative AI in healthcare: challenges to patient agency and ethical implications. Frontiers in Digital Health, 7, 1524553. 

Yan, L., Greiff, S., Lodge, J. M., & Gašević, D. (2025). Distinguishing performance gains from learning when using generative AI. Nature Reviews Psychology, 1-2. 

Chen, D., Liu, Y., Guo, Y., & Zhang, Y. (2024). The revolution of generative artificial intelligence in psychology: The interweaving of behavior, consciousness, and ethics. Acta Psychologica, 251, 104593. 

Okonji, O. R., Yunusov, K., & Gordon, B. (2024). Applications of Generative AI in Healthcare: algorithmic, ethical, legal and societal considerations. arXiv preprint arXiv:2406.10632. 

Alavi, A., Akhoundi, H., & Kouchmeshki, F. (2025). Analyzing Advanced AI Systems Against Definitions of Life and Consciousness. arXiv preprint arXiv:2502.05007. 

Bhardwaj, E., Alexander, R., & Becker, C. (2025). Limits to AI Growth: The Ecological and Social Consequences of Scaling. arXiv preprint arXiv:2501.17980. 

Yıldız, T. (2025). The minds we make: A philosophical inquiry into theory of mind and artificial intelligence. Integrative Psychological and Behavioral Science, 59(1), 10. 

Tanprasert, T., Fels, S. S., Sinnamon, L., & Yoon, D. (2024, May). Debate Chatbots to Facilitate Critical Thinking on YouTube: Social Identity and Conversational Style Make A Difference. In Proceedings of the CHI Conference on Human Factors in Computing Systems (pp. 1-24). 

DeVrio, A., Eslami, M., & Holstein, K. (2024, June). Building, Shifting, & Employing Power: A Taxonomy of Responses From Below to Algorithmic Harm. In The 2024 ACM Conference on Fairness, Accountability, and Transparency (pp. 1093-1106). 

Zabel, S., & Otto, S. (2024, May). SustAInable: How Values in the Form of Individual Motivation Shape Algorithms’ Outcomes. An Example Promoting Ecological and Social Sustainability. In Proceedings of the CHI Conference on Human Factors in Computing Systems (pp. 1-11). 

Hu, J., El-Rashid, F., & Bertelsen, S. E. (2024, May). SHADE: Empowering Consumer Choice for Sustainable Fashion with AI and Digital Tooling. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (pp. 1-5). 

Berney, M., Ouaazki, A., Macko, V., Kocher, B., & Holzer, A. (2024, May). Care-Based Eco-Feedback Augmented with Generative AI: Fostering Pro-Environmental Behavior through Emotional Attachment. In Proceedings of the CHI Conference on Human Factors in Computing Systems (pp. 1-15). 

Strubell, E., Ganesh, A., & McCallum, A. (2020). Energy and Policy Considerations for Modern Deep Learning Research. Proceedings of the AAAI Conference on Artificial Intelligence, 34(09), Article 09. 

Lacoste, A., Luccioni, A., Schmidt, V., & Dandres, T. (2019). Quantifying the Carbon Emissions of Machine Learning (arXiv:1910.09700). arXiv. 

Wu, C.-J., Raghavendra, R., Gupta, U., Acun, B., Ardalani, N., Maeng, K., Chang, G., Aga, F., Huang, J., Bai, C., Gschwind, M., Gupta, A., Ott, M., Melnikov, A., Candido, S., Brooks, D., Chauhan, G., Lee, B., Lee, H.-H.,  Hazelwood, K. (2022). Sustainable AI: Environmental Implications, Challenges and Opportunities. Proceedings of Machine Learning and Systems, 4, 795–813.

Ahmad, A., Waseem, M., Liang, P., Fehmideh, M., Aktar, M. S., & Mikkonen, T. (2023). Towards Human-Bot Collaborative Software Architecting with ChatGPT (arXiv:2302.14600). arXiv.

 

Gu, S., Kshirsagar, A., Du, Y., Chen, G., Peters, J., & Knoll, A. (2023). A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors (arXiv:2302.13137). arXiv.

 

Guo, B., Zhang, X., Wang, Z., Jiang, M., Nie, J., Ding, Y., Yue, J., & Wu, Y. (2023). How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection (arXiv:2301.07597). arXiv

 

Rao, H., Leung, C., & Miao, C. (2023). Can ChatGPT Assess Human Personalities? A General Evaluation Framework (arXiv:2303.01248). arXiv.

 

Wang, F.-Y., Li, J., Qin, R., Zhu, J., Mo, H., & Hu, B. (2023). ChatGPT for Computational Social Systems: From Conversational Applications to Human-Oriented Operating Systems. IEEE Transactions on Computational Social Systems, 10(2), 414–425.

Baum, S. D. (2020). Social choice ethics in artificial intelligence. AI & SOCIETY, 35(1), 165–176.

 

Floridi, L., & Cowls, J. (2019). A Unified Framework of Five Principles for AI in Society. Harvard Data Science Review.

Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., Schafer, B., Valcke, P., & Vayena, E. (2018). AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations. Minds and Machines, 28(4), 689–707.

Howard, A., & Borenstein, J. (2018). The Ugly Truth About Ourselves and Our Robot Creations: The Problem of Bias and Social Inequity. Science and Engineering Ethics, 24(5), 1521–1536.

 

Reia, J., Forelle, MC and Wang, Y. (2025). Reimagining AI for Environmental Justice and Creativity. Digital Technology for Democracy Lab, University of Virginia.

Albright, K., Merlo, T. R., & Agarwal, N. K. (Eds.). (2026). Navigating Inequities and Social Justice in the Age of Artificial Intelligence (Vol. 2). World Scientific Publishing Company.

Crawford, K. (2021). The Atlas of AI: Power, politics, and the planetary costs of artificial intelligence. Yale University Press. 

Hao, K. (2025). Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI. Penguin Group.

Announcement: Call for UNU Book Series on Artificial Intelligence and Sustainable Development. https://unu.edu/macau/announcement/book-series-aisd     

Kurzweil, R. (2024). The Singularity Is Nearer: When We Merge with AI. Penguin Random House. 

Eubanks, V. (2018). Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. St. Martin’s Publishing Group. 

Research Opportunities

Resources