Open Access Journal of Economic Research
- ISSN: 3065-9035
Hanzis A
Currently there is a range of applications of AI within decision-making, with increasing integration and collaboration mainly through AI systems augmenting human decision-making capabilities within a range of industries and sectors. AI is increasingly used for business decision support, although this tends to be focused more upon lower-level decisions routines instead of highstakes decisions necessitating human knowledge [1]. However, the rapid development of the use of AI predicts that this is likely to change [2]. The future of human-machine decision-making lies in optimizing the synergies between human intelligence and machine efficiency. This hybrid approach aims to leverage the strengths to achieve better outcomes, whether in healthcare, finance, transportation, or other critical fields. As we move forward, it will be essential to foster interdisciplinary collaboration, ethical considerations, and adaptive learning systems to ensure that human-machine decision-making systems serve the best interests of society. There are many arguments about this collaboration, and the time for discussion is now.