Year: 2025
Type: article
Abstract: The emergence of agentic AI is an important change in how people and machines can work together, as AI systems no longer will a passive tool, but rather become independent agents taking decisions and improving productivity. This paper discusses the impact of agentic AI and its self-directed behavior and decision-making skills on the conventional concepts of human-computer interaction. In the research, the possibility to implement agentic AI and restructure such spheres as healthcare, transport, and finance in terms of the understanding of the actual applications and theoretical paradigms is identified. It also discusses the moral and real-life consequences of autonomous AI decision making. The findings show that agentic AI can potentially have positive effects, such as increased efficiency and accuracy during decision making, yet its use in human processes introduces certain problems, including control, accountability and trust. Such dynamics can be critical in the future of AI collaboration as the technology might be a good to society but a solution to the problems being experienced.
Author: Rahul Pandey
Institution: Stanford University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7086769858