Kumar et al. (2025) Found that AI assistance decreased creativity along two measures in an unassisted fourth trial after three rounds of practice with AI. The study used three conditions: no AI, AI example solutions, AI strategies. In the 3 trials where the AI conditions had AI, poeple with AI assistance scored higher on both measures. In a fourth trial, with no AI, the people who had used AI scored lower on both measures.
Abebe et al. (2020) outlines four roles for computing, the broad field of studying computation: diagnostic, formalizer, rebuttal, synecdoche.
Lazar (2024) gives a short overview of how AI works by describing reinforcement learning through human feedback and considers the ethical questions that we face. Notably, draws the distinction between it simulating phenomena and that it is actually “doing” those things, for example friendship. It also highlights the risks of people relating to these systems due to their corporate controlled nature.
- Kumar, H., Vincentius, J., Jordan, E., & Anderson, A. (2025). Human Creativity in the Age of Llms: Randomized Experiments on Divergent and Convergent Thinking. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 1–18.
- Abebe, R., Barocas, S., Kleinberg, J., Levy, K., Raghavan, M., & Robinson, D. G. (2020). Roles for Computing in Social Change. Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 252–260.
- Lazar, S. (2024). Frontier AI Ethics. Aeon. https://aeon.co/essays/can-philosophy-help-us-get-a-grip-on-the-consequences-of-ai