Authors :
Kamala Venigandla; Navya Vemuri; Naveen Vemuri
Volume/Issue :
Volume 9 - 2024, Issue 3 - March
Google Scholar :
https://tinyurl.com/fps2z889
Scribd :
https://tinyurl.com/v98se7rp
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24MAR2039
Abstract :
Hybrid Intelligence Systems (HIS) represent a
paradigm shift in problem-solving methodologies by
integrating human expertise with Artificial Intelligence
(AI) and Robotic Process Automation (RPA). This paper
explores the mechanisms, applications, benefits,
challenges, and future directions of HIS in the context of
complex problem-solving. Through collaborative
synergies between human cognition and machine
intelligence, HIS enhances decision-making accuracy,
efficiency, and innovation. Human experts contribute
domain knowledge, contextual understanding, and ethical
reasoning, while AI algorithms and RPA systems offer
data-driven insights, computational power, and process
automation capabilities. HIS fosters inclusivity, diversity,
and democratization in problem-solving processes by
harnessing the collective intelligence of diverse teams and
stimulating interdisciplinary collaboration. However,
challenges such as privacy concerns, data security risks,
and algorithmic biases must be addressed to realize the
full potential of HIS. Looking ahead, the integration of
Explainable AI (XAI), Edge AI, and Neuro symbolic AI
holds promise for enhancing transparency,
interpretability, and robustness in HIS architectures.
Human-centered design principles and interdisciplinary
research collaborations will shape the development and
deployment of HIS, ensuring alignment with human
values, preferences, and needs. Ultimately, HIS will
continue to serve as a beacon of collaboration, creativity,
and collective intelligence in shaping a better world for
generations to come.
Keywords :
Artificial Intelligence (AI), Hybrid Intelligence Systems, Robotic Process Automation (RPA), Interpretable AI, Neuro Symbolic AI.
Hybrid Intelligence Systems (HIS) represent a
paradigm shift in problem-solving methodologies by
integrating human expertise with Artificial Intelligence
(AI) and Robotic Process Automation (RPA). This paper
explores the mechanisms, applications, benefits,
challenges, and future directions of HIS in the context of
complex problem-solving. Through collaborative
synergies between human cognition and machine
intelligence, HIS enhances decision-making accuracy,
efficiency, and innovation. Human experts contribute
domain knowledge, contextual understanding, and ethical
reasoning, while AI algorithms and RPA systems offer
data-driven insights, computational power, and process
automation capabilities. HIS fosters inclusivity, diversity,
and democratization in problem-solving processes by
harnessing the collective intelligence of diverse teams and
stimulating interdisciplinary collaboration. However,
challenges such as privacy concerns, data security risks,
and algorithmic biases must be addressed to realize the
full potential of HIS. Looking ahead, the integration of
Explainable AI (XAI), Edge AI, and Neuro symbolic AI
holds promise for enhancing transparency,
interpretability, and robustness in HIS architectures.
Human-centered design principles and interdisciplinary
research collaborations will shape the development and
deployment of HIS, ensuring alignment with human
values, preferences, and needs. Ultimately, HIS will
continue to serve as a beacon of collaboration, creativity,
and collective intelligence in shaping a better world for
generations to come.
Keywords :
Artificial Intelligence (AI), Hybrid Intelligence Systems, Robotic Process Automation (RPA), Interpretable AI, Neuro Symbolic AI.
