AI & Social Consciousness

Research Publications

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.  

 

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.

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

Research Opportunities

Resources